Malini Bajpai

27 papers receiving 802 citations

Peers

Malini Bajpai
Comparison fields: 5 of 95
  • Reproductive Medicine 204
  • Microbiology 102
  • Physiology 33
  • Immunology 130
  • Public Health, Environmental and Occupational Health 161
Replace Jeffrey A. Shaman with:
Jeffrey A. Shaman United States
Maria Luisa Marcante Italy
Markus S. Schwab Germany
Sebastiano Sansano Switzerland
Judith R. Tennant United States
Richard F. Parrish United States
Gwenda Pynaert Belgium
Andrea M. Gross United States
Heguo Yu China
M. Dy France
Malini Bajpai relative to Jeffrey A. Shaman United States Jeffrey A. Shaman's profile →
Citations per field
00.5×4.9×
Jeffrey A. Shaman · 1×
Citations per year

Countries citing papers authored by Malini Bajpai

Since Specialization
Citations

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

Fields of papers citing papers by Malini Bajpai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004141
2 1998106
3 200868
4 200361
5 200559
6 200756
7 200846
8
Fostamatinib, a Syk inhibitor prodrug for the treatment of inflammatory diseases.
200937
9 200332
10 200831
11 201230
12 200728
13 201323
14 201217
15 200415
16 201510
17 20039
18 20148
19 20147
20 20107

About Malini Bajpai

Malini Bajpai is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Immunology and Organic Chemistry, having authored 27 papers that have together received 818 indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (7 papers), Sperm and Testicular Function (7 papers), Reproductive Biology and Fertility (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Ovarian function and disorders (3 papers), Reproductive System and Pregnancy (3 papers), Melanoma and MAPK Pathways (3 papers) and Chemical synthesis and alkaloids (3 papers). The work is most often cited by research in Reproductive Medicine (204 citations), Microbiology (102 citations), Physiology (33 citations), Immunology (130 citations) and Public Health, Environmental and Occupational Health (161 citations). Malini Bajpai has collaborated with scholars based in India and United States. Frequent co-authors include Gopal Gupta, Gustavo F. Doncel, Daniel W. Carr, Sarah E. Fiedler, Neelima Chandra, Abhijit Ray, Sunanda G. Dastidar, Puneet Chopra, Raina N. Fichorova and Jeng-Gwang Hsiu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biology of Reproduction, Journal of Medicinal Chemistry, International Immunopharmacology and Clinical & Experimental Immunology.

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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