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Zhangjun Fei

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 106 603 573 303 286 345 41889

Zhangjun Fei publications per year

The chart shows the history of publications by Zhangjun Fei between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhangjun Fei published across 23 years, from 2003 to 2025, averaging 19.3 papers a year. Output peaked at 47 publications in 2019. 44 of the 443 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 47. Peak 47 publications in 2019. 2003: 1 publication 2004: 2 publications 2005: 0 publications 2006: 2 publications 2007: 3 publications 2008: 8 publications 2009: 9 publications 2010: 9 publications 2011: 15 publications 2012: 12 publications 2013: 24 publications 2014: 15 publications 2015: 40 publications 2016: 24 publications 2017: 31 publications 2018: 26 publications 2019: 47 publications 2020: 33 publications 2021: 32 publications 2022: 41 publications 2023: 25 publications 2024: 32 publications 2025: 12 publications
2003 2025

443 publications in total across all disciplines

View publications per year as a table
Zhangjun Fei: publications per year, 2003 to 2025
Year Publications
2003 1
2004 2
2005 0
2006 2
2007 3
2008 8
2009 9
2010 9
2011 15
2012 12
2013 24
2014 15
2015 40
2016 24
2017 31
2018 26
2019 47
2020 33
2021 32
2022 41
2023 25
2024 32
2025 12
Total 443
Download as CSV

Zhangjun Fei publications per year - data summary

  • Zhangjun Fei, a Genetics scholar from Cornell University, has 443 publications recorded across 23 years, from 2003 to 2025.
  • The oldest publication on record dates to 2003 and the most recent to 2025.
  • The most productive year is 2019, with 47 publications.
  • The least productive year with any output is 2003, with 1 publication.
  • 1 of the 23 years in the span carries no publications at all (2005).
  • The rate of publication averages 19.3 papers per year over the whole span, or 20.1 per year counting only the 22 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 142 publications, 32% of the career total.
  • Split into equal eras - 2003-2010: 34 publications (4.3 per year); 2011-2018: 187 publications (23.4 per year); 2019-2025: 222 publications (31.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Zhangjun Fei publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Zhangjun Fei sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 345–354 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 345 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40 345
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
Download as CSV

Zhangjun Fei publication distribution in Genetics in 2026 - data summary

  • The chart plots the publication count of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 67 ranges running from 45–54 to 703+ publications.
  • Zhangjun Fei, a Genetics scholar from Cornell University, records 345 publications - the 82nd percentile of the discipline.
  • 82% of ranked Genetics scientists score the same or lower than Zhangjun Fei, and about 18% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Zhangjun Fei ranks above the median.
  • The most crowded range is 125–134 publications, holding 217 scientists (5% of the field).
  • 56% of the field sits in the lowest quarter of the value range (up to 205–214 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 703 publications or more, 100 scientists in all (2% of the field).

Zhangjun Fei D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Zhangjun Fei sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 106–107 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 106 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42 106
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

Zhangjun Fei D-index placement in Genetics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 160+ D-Index.
  • Zhangjun Fei, a Genetics scholar from Cornell University, records 106 D-Index - the 87th percentile of the discipline.
  • 87% of ranked Genetics scientists score the same or lower than Zhangjun Fei, and about 13% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Zhangjun Fei ranks above the median.
  • The most crowded range is 62–63 D-Index, holding 191 scientists (4% of the field).
  • 51% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 160 D-Index or more, 96 scientists in all (2% of the field).

Overview

Zhangjun Fei is a researcher affiliated with Cornell University in the United States, specializing in the fields of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology. Their work primarily focuses on plant science, molecular biology, insect science, genetics, and cell biology, reflected in a substantial number of publications spanning these subfields.

The scientist has contributed extensively to several main topics within plant biology research. These include plant virus research studies, plant molecular biology research, plant reproductive biology, plant gene expression analysis, plant physiology and cultivation studies, chromosomal and genetic variations, and genomics and phylogenetic studies.

Frequent publication venues for Zhangjun Fei include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • The Plant Journal
  • The Plant Cell
  • Horticulture Research

Among their notable recent papers are:

  • "Graph pangenome captures missing heritability and empowers tomato breeding," 2022, published in Nature
  • "Phased diploid genome assemblies and pan-genomes provide insights into the genetic history of apple domestication," 2020, published in Nature Genetics
  • "The Penium margaritaceum Genome: Hallmarks of the Origins of Land Plants," 2020, published in Cell
  • "Super-pangenome analyses highlight genomic diversity and structural variation across wild and cultivated tomato species," 2023, published in Nature Genetics
  • "Cutin and suberin: assembly and origins of specialized lipidic cell wall scaffolds," 2020, published in Current Opinion in Plant Biology

Zhangjun Fei has collaborated frequently with several co-authors, including Shan Wu, Honghe Sun, Chen Jiao, Yi Zheng, and James J. Giovannoni, indicating active partnerships in research projects and publications.

Best Publications

  • The tomato genome sequence provides insights into fleshy fruit evolution

    Shusei Sato;Satoshi Tabata;Hideki Hirakawa;Erika Asamizu

  • The genome of the cucumber, Cucumis sativus L.

    Sanwen Huang;Ruiqiang Li;Zhonghua Zhang;Li Li

  • Genomic analyses provide insights into the history of tomato breeding

    Tao Lin;Guangtao Zhu;Junhong Zhang;Xiangyang Xu

  • The draft genome of watermelon (Citrullus lanatus) and resequencing of 20 diverse accessions

    Shaogui Guo;Shaogui Guo;Jianguo Zhang;Jianguo Zhang;Honghe Sun;Honghe Sun;Jerome Salse

  • iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases.

    Yi Zheng;Chen Jiao;Honghe Sun;Hernan G. Rosli

  • Single-base resolution methylomes of tomato fruit development reveal epigenome modifications associated with ripening

    Silin Zhong;Zhangjun Fei;Zhangjun Fei;Yun-Ru Chen;Yi Zheng

  • The tomato pan-genome uncovers new genes and a rare allele regulating fruit flavor.

    Lei Gao;Itay Gonda;Itay Gonda;Honghe Sun;Qiyue Ma

  • A genomic variation map provides insights into the genetic basis of cucumber domestication and diversity

    Jianjian Qi;Xin Liu;Di Shen;Han Miao

  • Draft genome of the kiwifruit Actinidia chinensis

    Shengxiong Huang;Shengxiong Huang;Jian Ding;Dejing Deng;Wei Tang

  • The genome of the stress-tolerant wild tomato species Solanum pennellii

    Anthony Bolger;Federico Scossa;Marie E Bolger;Christa Lanz

  • High-throughput illumina strand-specific RNA sequencing library preparation.

    Silin Zhong;Je-Gun Joung;Yi Zheng;Yun-ru Chen

  • Systems Biology of Tomato Fruit Development: Combined Transcript, Protein, and Metabolite Analysis of Tomato Transcription Factor (nor, rin) and Ethylene Receptor (Nr) Mutants Reveals Novel Regulatory Interactions

    Sonia Osorio;Rob Alba;Cynthia M.B. Damasceno;Gloria Lopez-Casado

  • Genome re-sequencing reveals the history of apple and supports a two-stage model for fruit enlargement

    Naibin Duan;Yang Bai;Honghe Sun;Nan Wang

  • Genome-wide analysis of WRKY transcription factors in Solanum lycopersicum

    Shengxiong Huang;Shengxiong Huang;Yongfeng Gao;Yongfeng Gao;Jikai Liu;Jikai Liu;Xiaoli Peng

  • Combined transcriptome, genetic diversity and metabolite profiling in tomato fruit reveals that the ethylene response factor SlERF6 plays an important role in ripening and carotenoid accumulation

    Je Min Lee;Je-Gun Joung;Ryan McQuinn;Mi-Young Chung

  • The Epigenome and Transcriptional Dynamics of Fruit Ripening

    James Giovannoni;Cuong Nguyen;Betsy Ampofo;Silin Zhong

  • Genome encode analyses reveal the basis of convergent evolution of fleshy fruit ripening

    Peitao Lü;Sheng Yu;Ning Zhu;Yun-Ru Chen

  • The draft genome of whitefly Bemisia tabaci MEAM1, a global crop pest, provides novel insights into virus transmission, host adaptation, and insecticide resistance

    Wenbo Chen;Daniel K. Hasegawa;Daniel K. Hasegawa;Navneet Kaur;Adi Kliot

  • ESTs, cDNA microarrays, and gene expression profiling: tools for dissecting plant physiology and development.

    Rob Alba;Zhangjun Fei;Paxton Payton;Yang Liu

  • Interdependence of threonine, methionine and isoleucine metabolism in plants: accumulation and transcriptional regulation under abiotic stress.

    Vijay Joshi;Je-Gun Joung;Zhangjun Fei;Zhangjun Fei;Georg Jander

Frequent Co-Authors

James J. Giovannoni
James J. Giovannoni Boyce Thompson Institute
Gregory B. Martin
Gregory B. Martin Boyce Thompson Institute
Nurit Katzir
Nurit Katzir Agricultural Research Organization
Jocelyn K. C. Rose
Jocelyn K. C. Rose Cornell University
Sanwen Huang
Sanwen Huang Chinese Academy of Agricultural Sciences
Yaakov Tadmor
Yaakov Tadmor Agricultural Research Organization
Arthur A. Schaffer
Arthur A. Schaffer Agricultural Research Organization
Efraim Lewinsohn
Efraim Lewinsohn Agricultural Research Organization
Li Li
Li Li Cornell University
Xuepeng Sun
Xuepeng Sun Ministry of Agriculture and Rural Affairs

External Links

Personal website of Zhangjun Fei

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Related Online Degrees & Career Pathways

If you are interested in Genetics, there are several complementary online degrees and career pathways worth exploring in the healthcare sector. Many students pair a background in genetics with medical coding courses to broaden their career options in data management and healthcare records.

Another popular route is nursing, where students often seek out easy nursing programs to get into for an accessible entry point to patient care roles. Blending genetics knowledge with nursing can lead to specialized fields such as genetic counseling or laboratory research.

For those interested in administrative roles, pursuing an accelerated healthcare administration degree can help you quickly transition into leadership positions. There are also many healthcare administration courses available that focus on the business and operational aspects of medical organizations.

These online programs create flexible pathways for genetics graduates, opening doors to a wide variety of impactful careers in the growing healthcare industry.

Best Scientists Citing Zhangjun Fei

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Publications: 135

James J. Giovannoni

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Publications: 85

Yiqun Weng

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United States Department of Agriculture

Publications: 77

Mondher Bouzayen

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Federal University of Toulouse Midi-Pyrénées

Publications: 60

Hiroshi Ezura

Hiroshi Ezura

University of Tsukuba

Publications: 50

Gregory B. Martin

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Boyce Thompson Institute

Publications: 50

Donald Grierson

Donald Grierson

Zhejiang University

Publications: 47

Sanwen Huang

Sanwen Huang

Chinese Academy of Agricultural Sciences

Publications: 47

Lukas A. Mueller

Lukas A. Mueller

Boyce Thompson Institute

Publications: 43

Takayuki Tohge

Takayuki Tohge

Nara Institute of Science and Technology

Publications: 41

Rajeev K. Varshney

Rajeev K. Varshney

Murdoch University

Publications: 39

Antonio Granell

Antonio Granell

Spanish National Research Council

Publications: 39

Andrew C. Allan

Andrew C. Allan

Plant & Food Research

Publications: 37

Mathilde Causse

Mathilde Causse

INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

Publications: 36

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Publications: 36

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Jordi Garcia-Mas

Institute of Agrifood Research and Technology

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