Deepak Modi

4.9k citations
134 papers · 3.4k · h-index 33

Impact in

    • Sperm and Testicular Function
    • Endometriosis Research and Treatment
    • Ovarian function and disorders
    • Pregnancy and preeclampsia studies
    • COVID-19 Impact on Reproduction

Papers in

Deepak Modi

131 papers receiving 3.3k citations

Peers

Deepak Modi
Comparison fields: 5 of 112
  • Reproductive Medicine 1.2k
  • Obstetrics and Gynecology 799
  • Immunology 927
  • Public Health, Environmental and Occupational Health 739
  • Genetics 693
Replace Daishu Han with:
Daishu Han China
Frank F. Bartol United States
Melinda J. Jasper Australia
John E. Schjenken Australia
Mohammad Mehdi Akhondi Iran
J. Remohı́ Spain
Chandrakant Tayade Canada
Nick Macklon United Kingdom
Koji Koyama Japan
B. Anne Croy Canada
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Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Deepak Modi

Since Specialization
Citations

This map shows the geographic impact of Deepak Modi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deepak Modi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Modi more than expected).

Fields of papers citing papers by Deepak Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Modi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deepak Modi. The network helps show where Deepak Modi may publish in the future.

Co-authors

The 25 scholars most cited alongside Deepak Modi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepak Modi Line = papers co-authored together Deepak Modi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016218
2 2018192
3 2003148
4 2018139
5 2018113
6 2016102
7 202093
8 201075
9 200873
10 201073
11 201367
12 202065
13 201665
14 200761
15 200960
16 201256
17 202054
18 201052
19 200551
20 200651

About Deepak Modi

Deepak Modi is a scholar working on Reproductive Medicine, Immunology, Genetics, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 134 papers that have together received 3.4k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (30 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), Sperm and Testicular Function (18 papers), COVID-19 Impact on Reproduction (17 papers), Endometriosis Research and Treatment (16 papers), Reproductive Biology and Fertility (13 papers), Estrogen and related hormone effects (11 papers) and Sexual Differentiation and Disorders (8 papers). The work is most often cited by research in Reproductive Medicine (1.2k citations), Obstetrics and Gynecology (799 citations), Immunology (927 citations), Public Health, Environmental and Occupational Health (739 citations) and Genetics (693 citations). Deepak Modi has collaborated with scholars based in India, South Africa and United States. Frequent co-authors include Geeta Godbole, Stacy Colaco, Nancy Ashary, Smita D. Mahale, Shipra Sharma, C.P. Puri, Deepa Bhartiya, Rahul Gajbhiye, Gupta Sk and Swati K. Achrekar. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Reproductive BioMedicine Online, Human Reproduction, American Journal of Reproductive Immunology and Fertility and Sterility.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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