Deepak Modi

4.8k citations
134 papers · 3.3k indexed · h-index 33

Deepak Modi

129 papers receiving 3.2k citations

Peers

Deepak Modi
Comparison fields: 5 of 115
  • Reproductive Medicine 1.4k
  • Obstetrics and Gynecology 892
  • Immunology 1.0k
  • Public Health, Environmental and Occupational Health 1.0k
  • Genetics 795
Replace Hiroaki Shibahara with:
Hiroaki Shibahara Japan
Karen Racicot United States
Melinda J. Jasper Australia
Danny J. Schust United States
Alice Gilman‐Sachs United States
Júlia Szekeres‐Barthó Hungary
Koji Koyama Japan
Horacio B. Croxatto Chile
John E. Schjenken Australia
Chandrakant Tayade Canada
Deepak Modi relative to Hiroaki Shibahara Japan Hiroaki Shibahara's profile →
Citations per field
00.5×2.6×
Hiroaki Shibahara · 1×
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-authorship network

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
#Work
1 20252
2 20242
3 20245
4 20241
5 20235
6 202211
7 20221
8 20229
9 20222
10 202113
11 202065
12 202027
13
Expression of SARS-CoV-2 receptor ACE2 and the spike protein processing enzymes in developing human embryos
202011
14 20192
15 2016101
16 201229
17
Parasites and the skin
20091
18
Acute and chronic effects of aspirin on hematological parameters and hepatic ferritin expression in mice
200422
19 200216
20
Clinical experience with the use of Fluorescence in Situ Hybridization on uncultured cells for prenatal diagnosis
20021

About Deepak Modi

Deepak Modi is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology, having authored 134 papers that have together received 3.3k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (33 papers), Sperm and Testicular Function (23 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (20 papers), Reproductive Biology and Fertility (19 papers), Endometriosis Research and Treatment (19 papers), COVID-19 Impact on Reproduction (18 papers), Sexual Differentiation and Disorders (14 papers) and Estrogen and related hormone effects (11 papers). The work is most often cited by research in Reproductive Medicine (1.4k citations), Obstetrics and Gynecology (892 citations) and Immunology (1.0k 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, Shipra Sharma, Smita D. Mahale, 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, American Journal of Reproductive Immunology, Human Reproduction 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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2026