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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 44 4238 3998 1827 1712 83 19051

Michael J. Axtell publications per year

The chart shows the history of publications by Michael J. Axtell between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michael J. Axtell published across 27 years, from 1999 to 2025, averaging 3.6 papers a year. Output peaked at 8 publications in 2019. 6 of the 96 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 8. Peak 8 publications in 2019. 1999: 2 publications 2000: 1 publication 2001: 1 publication 2002: 1 publication 2003: 2 publications 2004: 0 publications 2005: 1 publication 2006: 2 publications 2007: 4 publications 2008: 5 publications 2009: 4 publications 2010: 5 publications 2011: 6 publications 2012: 3 publications 2013: 5 publications 2014: 6 publications 2015: 6 publications 2016: 6 publications 2017: 3 publications 2018: 5 publications 2019: 8 publications 2020: 7 publications 2021: 3 publications 2022: 1 publication 2023: 3 publications 2024: 2 publications 2025: 4 publications
1999 2025

96 publications in total across all disciplines

View publications per year as a table
Michael J. Axtell: publications per year, 1999 to 2025
Year Publications
1999 2
2000 1
2001 1
2002 1
2003 2
2004 0
2005 1
2006 2
2007 4
2008 5
2009 4
2010 5
2011 6
2012 3
2013 5
2014 6
2015 6
2016 6
2017 3
2018 5
2019 8
2020 7
2021 3
2022 1
2023 3
2024 2
2025 4
Total 96
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Michael J. Axtell publications per year - data summary

  • Michael J. Axtell, a Genetics scholar from Pennsylvania State University, has 96 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive year is 2019, with 8 publications.
  • The least productive years with any output are 2000, 2001, 2002, 2005 and others, with 1 publication each.
  • 1 of the 27 years in the span carries no publications at all (2004).
  • The rate of publication averages 3.6 papers per year over the whole span, or 3.7 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 13 publications, 14% of the career total.
  • Split into equal eras - 1999-2007: 14 publications (1.6 per year); 2008-2016: 46 publications (5.1 per year); 2017-2025: 36 publications (4.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Michael J. Axtell 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 Michael J. Axtell 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, 75–84 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: 83 publications — 3rd percentile

3% 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 83
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
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
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Michael J. Axtell 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.
  • Michael J. Axtell, a Genetics scholar from Pennsylvania State University, records 83 publications - the 3rd percentile of the discipline.
  • 3% of ranked Genetics scientists score the same or lower than Michael J. Axtell, and about 97% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Michael J. Axtell ranks below 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).

Michael J. Axtell 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 Michael J. Axtell 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, 44–45 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: 44 D-Index — 3rd percentile

3% 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 44
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
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
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Michael J. Axtell 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.
  • Michael J. Axtell, a Genetics scholar from Pennsylvania State University, records 44 D-Index - the 3rd percentile of the discipline.
  • 3% of ranked Genetics scientists score the same or lower than Michael J. Axtell, and about 97% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Michael J. Axtell ranks below 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

Michael J. Axtell is affiliated with Pennsylvania State University in the United States. Their research predominantly spans the fields of Agricultural and Biological Sciences as well as Biochemistry, Genetics, and Molecular Biology, with a particular focus on Plant Science and Molecular Biology subfields.

The scientist's work addresses several core topics including:

  • Plant Molecular Biology Research
  • Plant Virus Research Studies
  • Plant Parasitism and Resistance
  • Chromosomal and Genetic Variations
  • Legume Nitrogen Fixing Symbiosis
  • Plant and Fungal Interactions Research
  • Nematode management and characterization studies

Axtell has contributed to multiple scientific papers across notable publication venues. Frequent venues include bioRxiv (Cold Spring Harbor Laboratory), The Plant Cell, Nature Communications, Genome Research, and PLANT PHYSIOLOGY.

Recent publications include:

  • Integrated annotations and analyses of small RNA-producing loci from 47 diverse plants, 2020, Genome Research
  • MSH1-induced heritable enhanced growth vigor through grafting is associated with the RdDM pathway in plants, 2020, Nature Communications
  • Segregation of an MSH1 RNAi transgene produces heritable non-genetic memory in association with methylome reprogramming, 2020, Nature Communications
  • Mechanisms of resistance and virulence in parasitic plant-host interactions, 2020, PLANT PHYSIOLOGY
  • Quality control and evaluation of plant epigenomics data, 2021, The Plant Cell

Frequent coauthors in Axtell's work include Blake C. Meyers, Alice Lunardon, Nathan Johnson, Allison Vanek, and Hardik Kundariya.

Best Publications

  • Angiosperm phylogeny inferred from 18S rDNA, rbcL, and atpB sequences

    Douglas E. Soltis;Pamela S. Soltis;Mark W. Chase;Mark E. Mort

  • Criteria for Annotation of Plant MicroRNAs

    Blake C. Meyers;Michael J. Axtell;Bonnie Bartel;David P. Bartel

  • Large-Scale Sequencing Reveals 21U-RNAs and Additional MicroRNAs and Endogenous siRNAs in C. elegans

    J. Graham Ruby;Calvin Jan;Christopher Player;Michael J. Axtell

  • Initiation of RPS2-Specified Disease Resistance in Arabidopsis Is Coupled to the AvrRpt2-Directed Elimination of RIN4

    Michael J. Axtell;Brian J. Staskawicz

  • Classification and Comparison of Small RNAs from Plants

    Michael J. Axtell

  • The Selaginella genome identifies genetic changes associated with the evolution of vascular plants.

    Jo Ann Banks;Tomoaki Nishiyama;Mitsuyasu Hasebe;Mitsuyasu Hasebe;John L. Bowman;John L. Bowman

  • The genome of Theobroma cacao

    Xavier Argout;Jerome Salse;Jean-Marc Aury;Jean-Marc Aury;Jean-Marc Aury;Mark J Guiltinan

  • Endogenous siRNA and miRNA Targets Identified by Sequencing of the Arabidopsis Degradome

    Charles Addo-Quaye;Tifani W. Eshoo;David P. Bartel;Michael J. Axtell

  • A Two-Hit Trigger for siRNA Biogenesis in Plants

    Michael J. Axtell;Calvin Jan;Ramya Rajagopalan;David P. Bartel

  • Antiquity of MicroRNAs and Their Targets in Land Plants

    Michael J. Axtell;David P. Bartel

  • CleaveLand: a pipeline for using degradome data to find cleaved small RNA targets

    Charles Addo-Quaye;Webb Miller;Michael J. Axtell

  • Vive la différence: biogenesis and evolution of microRNAs in plants and animals.

    Michael J Axtell;Jakub O Westholm;Eric C Lai

  • Common functions for diverse small RNAs of land plants.

    Michael J. Axtell;Jo Ann Snyder;David P. Bartel;David P. Bartel

  • Evolution of plant microRNAs and their targets

    Michael Axtell;John Lincoln Bowman;John Lincoln Bowman

  • ShortStack: Comprehensive annotation and quantification of small RNA genes

    Michael J. Axtell

  • Transcriptome-wide identification of microRNA targets in rice

    Yong Fang Li;Yun Zheng;Charles Addo-Quaye;Li Zhang

  • Revisiting Criteria for Plant MicroRNA Annotation in the Era of Big Data.

    Michael J Axtell;Blake C Meyers;Blake C Meyers

  • MicroRNAs from the parasitic plant Cuscuta campestris target host messenger RNAs.

    Saima Shahid;Gunjune Kim;Nathan R. Johnson;Eric Wafula

  • The helicase domain of the TMV replicase proteins induces the N-mediated defence response in tobacco.

    F. Les Erickson;F. Les Erickson;Steve Holzberg;Alejandro Calderon-Urrea;Alejandro Calderon-Urrea;Vanessa Handley;Vanessa Handley

  • Genetic and molecular evidence that the Pseudomonas syringae type III effector protein AvrRpt2 is a cysteine protease.

    Michael J. Axtell;Stephen T. Chisholm;Douglas Dahlbeck;Brian J. Staskawicz

Frequent Co-Authors

Blake C. Meyers
Blake C. Meyers University of California, Davis
Claude W. dePamphilis
Claude W. dePamphilis Pennsylvania State University
Jean-Marc Aury
Jean-Marc Aury University of Paris-Saclay
Julie Poulain
Julie Poulain French Alternative Energies and Atomic Energy Commission (CEA)
John L. Bowman
John L. Bowman Monash University
Patrick Wincker
Patrick Wincker University of Paris-Saclay
Brian J. Staskawicz
Brian J. Staskawicz University of California, Berkeley
Angélique D'Hont
Angélique D'Hont University of Montpellier
Rod A. Wing
Rod A. Wing University of Arizona

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