Prashant Kadam

22 papers receiving 865 citations

Prashant Kadam's Hit Papers

Sample size calculation 2010 · 543 citations
5430+5+10Years since publication100200300400500

Peers

Prashant Kadam
Comparison fields: 5 of 169
  • Reproductive Medicine 238
  • Public Health, Environmental and Occupational Health 199
  • Pharmaceutical Science 23
  • Orthodontics 12
  • Genetics 71
Replace Eun Ju Lee with:
Eun Ju Lee South Korea
Mustafa Agâh Tekindal Türkiye
Yujia Zhang China
Daniele Mandrioli Italy
Lennart Nilsson Sweden
Agnieszka Podfigurna Poland
Ewa Rudnicka Poland
Maria Helena Melo Lima Brazil
Mayur Wanjari India
Prashant Kadam relative to Eun Ju Lee South Korea Eun Ju Lee's profile →
Citations per field
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Eun Ju Lee · 1×
Citations per year

Countries citing papers authored by Prashant Kadam

Since Specialization
Citations

This map shows the geographic impact of Prashant Kadam'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 Prashant Kadam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Kadam more than expected).

Fields of papers citing papers by Prashant Kadam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant Kadam. 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 Prashant Kadam. The network helps show where Prashant Kadam may publish in the future.

Co-authors

The 25 scholars most cited alongside Prashant Kadam, 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 Prashant Kadam Line = papers co-authored together Prashant Kadam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sample size calculation
Hit paper breakdown →
2010543
2 201845
3 201837
4 201234
5 201430
6 201328
7 201227
8 201927
9 201923
10 201620
11 201918
12 201210
13 201810
14 20209
15 20217
16 20237
17 20223
18 20213
19 20233
20 20222

About Prashant Kadam

Prashant Kadam is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Surgery and Pathology and Forensic Medicine, having authored 23 papers that have together received 891 indexed citations. Recurring topics across this work include Sperm and Testicular Function (12 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Connexins and lens biology (4 papers), Reproductive Biology and Fertility (4 papers), Tissue Engineering and Regenerative Medicine (2 papers), Biomedical Research and Pathophysiology (1 paper), Animal Genetics and Reproduction (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Reproductive Medicine (238 citations), Public Health, Environmental and Occupational Health (199 citations), Pharmaceutical Science (23 citations), Orthodontics (12 citations) and Genetics (71 citations). Prashant Kadam has collaborated with scholars based in Belgium, India and United Kingdom. Frequent co-authors include Supriya Bhalerao, Ellen Goossens, Dorien Van Saen, Yoni Baert, Sven Van Laere, Manmohan Singh Chauhan, Rod T. Mitchell, S. K. Singla, Manoj Kumar Singh and P. Palta. Their work appears in journals such as Reproductive BioMedicine Online, Stem Cell Research & Therapy, Frontiers in Cell and Developmental Biology, International Journal of Molecular Sciences and International Wound Journal.

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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