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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 50 3921 3701 130 125 192 10344

Jyotsna Batra publications per year

The chart shows the history of publications by Jyotsna Batra between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jyotsna Batra published across 22 years, from 2004 to 2025, averaging 12.3 papers a year. Output peaked at 47 publications in 2023. 26 of the 271 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 47. Peak 47 publications in 2023. 2004: 1 publication 2005: 7 publications 2006: 3 publications 2007: 5 publications 2008: 4 publications 2009: 5 publications 2010: 2 publications 2011: 8 publications 2012: 8 publications 2013: 8 publications 2014: 8 publications 2015: 17 publications 2016: 24 publications 2017: 12 publications 2018: 15 publications 2019: 27 publications 2020: 14 publications 2021: 19 publications 2022: 11 publications 2023: 47 publications 2024: 16 publications 2025: 10 publications
2004 2025

271 publications in total across all disciplines

View publications per year as a table
Jyotsna Batra: publications per year, 2004 to 2025
Year Publications
2004 1
2005 7
2006 3
2007 5
2008 4
2009 5
2010 2
2011 8
2012 8
2013 8
2014 8
2015 17
2016 24
2017 12
2018 15
2019 27
2020 14
2021 19
2022 11
2023 47
2024 16
2025 10
Total 271
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Jyotsna Batra 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 Jyotsna Batra 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, 185–194 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: 192 publications — 47th percentile

47% 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
185–194 164 192
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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Jyotsna Batra 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 Jyotsna Batra 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, 50–51 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: 50 D-Index — 11th percentile

11% 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 50
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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Overview

Jyotsna Batra is affiliated with the Queensland University of Technology in Australia. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with significant contributions also to Medicine.

The subfields of study in Jyotsna Batra's work include Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics, and Oncology. Their research topics cover areas such as Prostate Cancer Treatment and Research, Genetic Associations and Epidemiology, Cancer-related molecular mechanisms research, RNA Research and Splicing, Prostate Cancer Diagnosis and Treatment, MicroRNA in disease regulation, and RNA modifications and cancer.

Jyotsna Batra has published extensively in various scientific venues. The frequent publication venues include Genes, bioRxiv (Cold Spring Harbor Laboratory), Cancers, Scientific Reports, and Nature Genetics.

Frequent collaborators in their work include Judith A. Clements, Kenneth Muir, Johanna Schleutker, Nora Pashayan, and Rosalind A. Eeles.

Recent papers authored or co-authored by Jyotsna Batra demonstrate a focus on cancer genetics and molecular biology:

  • Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction (2021, Nature Genetics)
  • An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk (2020, Nature Communications)
  • Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants (2023, Nature Genetics)
  • Dysregulated energy metabolism impairs chondrocyte function in osteoarthritis (2022, Osteoarthritis and Cartilage)
  • Genomic analysis of male puberty timing highlights shared genetic basis with hair colour and lifespan (2020, Nature Communications)

Best Publications

  • Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

    Fredrick R. Schumacher;Ali Amin Al Olama;Sonja I. Berndt;Sara Benlloch

  • Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

    Rosalind A. Eeles;Ali Amin Al Olama;Sara Benlloch;Edward J. Saunders

  • A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

    Ali Amin Al Olama;Zsofia Kote-Jarai;Sonja I. Berndt;David V. Conti

  • Identification of seven new prostate cancer susceptibility loci through a genome-wide association study

    Rosalind A. Eeles;Zsofia Kote-Jarai;Ali Amin Al Olama;Graham G. Giles;Graham G. Giles

  • Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

    David V. Conti;Burcu F. Darst;Lilit C. Moss;Edward J. Saunders

  • Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    Z Kote-Jarai;Olama Aaa.;G G Giles;G G Giles;G Severi;G Severi

  • Genetic landscape of the people of India: A canvas for disease gene exploration

    Samir K. Brahmachari;Partha P. Majumder;Mitali Mukerji;Saman Habib

  • An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk.

    Lang Wu;Yaohua Yang;Xingyi Guo;Xiao Ou Shu

  • Association analyses identify 31 new risk loci for colorectal cancer susceptibility

    P J Law;M Timofeeva;C Fernandez-Rozadilla;P Broderick

  • Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.

    Siddhartha P. Kar;Jonathan Beesley;Ali Amin Al Olama;Kyriaki Michailidou

  • The Indian Genome Variation database (IGVdb): a project overview

    Samir K. Brahmachari;Lalji Singh;Abhay Sharma;Mitali Mukerji

  • Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts

    Tyler M. Seibert;Chun Chieh Fan;Yunpeng Wang;Verena Zuber;Verena Zuber

  • Candidate gene association studies : a comprehensive guide to useful in silico tools

    Rhadhika Patnala;Judith Clements;Jyotsna Batra

  • A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease

    A Amin Al Olama;Z Kote-Jarai;F R Schumacher;F Wiklund

  • Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    Zsofia Kote-Jarai;Ali Amin Al Olama;Graham G. Giles;Gianluca Severi

  • Encapsulation and controlled release of Resveratrol within functionalized mesoporous silica nanoparticles for prostate cancer therapy

    Zanib Chaudhary;Sugarniya Subramaniam;Gul Majid Khan;Muhammad Mustafa Abeer

  • Identification of a novel prostate cancer susceptibility variant in the KLK3 gene transcript

    Zsofia Kote-Jarai;Ali Amin Al Olama;Daniel Leongamornlert;Malgorzata Tymrakiewicz

  • Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression

    Zsofia Kote-Jarai;Edward J. Saunders;Daniel A. Leongamornlert;Malgorzata Tymrakiewicz

  • miRNAs associated with prostate cancer risk and progression.

    Hung N. Luu;Hung N. Luu;Hui-Yi Lin;Karina Dalsgaard Sørensen;Olorunseun O. Ogunwobi

  • The Indian Genome Variation Consortium The Indian Genome Variation database (IGVdb): a project overview

    Samir K. Brahmachari;Lalji Singh;Abhay Sharma;Mitali Mukerji

Frequent Co-Authors

Judith A. Clements
Judith A. Clements Queensland University of Technology
David E. Neal
David E. Neal University of Cambridge
Kenneth W. Muir
Kenneth W. Muir University of Manchester
Graham G. Giles
Graham G. Giles University of Melbourne
Johanna Schleutker
Johanna Schleutker Turku University Hospital
Rosalind A. Eeles
Rosalind A. Eeles Institute of Cancer Research
Janet L. Stanford
Janet L. Stanford Fred Hutchinson Cancer Research Center
Lisa A. Cannon-Albright
Lisa A. Cannon-Albright University of Utah
Børge G. Nordestgaard
Børge G. Nordestgaard University of Copenhagen
Manuel R. Teixeira
Manuel R. Teixeira University of Porto

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