Sujata Kar

1.3k citations
36 papers · 904 indexed · h-index 17

Impact in

Papers in

Sujata Kar

33 papers receiving 878 citations

Peers

Sujata Kar
Comparison fields: 5 of 80
  • Reproductive Medicine 354
  • Cellular and Molecular Neuroscience 320
  • Physiology 289
  • Public Health, Environmental and Occupational Health 281
  • Anesthesiology and Pain Medicine 34
Replace N. -O. Sj�berg with:
N. -O. Sj�berg Sweden
Julia Knabl Germany
Daniela Maftei Italy
Julie McMinn United States
Lynda Whiting New Zealand
Clifford R. Pohl United States
Graciela Dı́az-Torga Argentina
Mingju Cao Canada
Susan H. McKiernan United States
Do Kyeong Song South Korea
Sujata Kar relative to N. -O. Sj�berg Sweden N. -O. Sj�berg's profile →
Citations per field
00.5×10×20×30×40×48×
N. -O. Sj�berg · 1×
Citations per year

Countries citing papers authored by Sujata Kar

Since Specialization
Citations

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

Fields of papers citing papers by Sujata Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202311
3 20216
4 20215
5 201625
6 201338
7 20134
8 201314
9 201211
10 201269
11 20119
12 200617
13 20062
14 200078
15
Protective role of anion channel blocker in lipid peroxidation caused by H2O2 in microsomes of bovine pulmonary arterial smooth muscle tissue.
19963
16 199578
17 199540
18 199352
19 199251
20 198927

About Sujata Kar

Sujata Kar is a scholar working on Reproductive Medicine, Behavioral Neuroscience, Obstetrics and Gynecology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 904 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (13 papers), Ovarian function and disorders (10 papers), Neuropeptides and Animal Physiology (7 papers), Sperm and Testicular Function (5 papers), Pain Mechanisms and Treatments (4 papers), Reproductive System and Pregnancy (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Reproductive Medicine (354 citations), Cellular and Molecular Neuroscience (320 citations), Physiology (289 citations), Public Health, Environmental and Occupational Health (281 citations) and Anesthesiology and Pain Medicine (34 citations). Sujata Kar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Rémi Quirion, Luna Samanta, Denise van Rossum, Khem Jhamandas, W. F. Mader, Wenhua Zheng, Maaja Sutak, S. St. Pierre, Soumya Ranjan Jena and Judes Poirier. Their work appears in journals such as Fertility and Sterility, Neuroscience, Frontiers in Cell and Developmental Biology, The Journal of Comparative Neurology and Journal of Pharmacology and Experimental Therapeutics.

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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