Nilima Biswas

41 papers receiving 1.0k citations

Peers

Nilima Biswas
Comparison fields: 5 of 97
  • Biological Psychiatry 135
  • Behavioral Neuroscience 179
  • Developmental Neuroscience 48
  • Cellular and Molecular Neuroscience 194
  • Cell Biology 153
Replace Yahong Zhang with:
Yahong Zhang China
Haim Rosen Israel
Thomas Liepold Germany
Sangwon V. Kim United States
Eryan Kong China
Irina Ionescu France
Françoise Saurini France
Vikram Sharma United Kingdom
Т. С. Калинина Russia
Hui Xie China
Nilima Biswas relative to Yahong Zhang China Yahong Zhang's profile →
Citations per field
00.5×4.0×
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Citations per year

Countries citing papers authored by Nilima Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Nilima Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014266
2 200984
3 201260
4 200959
5 200347
6 200747
7 201042
8 199936
9 201430
10 201229
11 201027
12 200727
13 201124
14 201122
15 199621
16 200119
17 201017
18 201317
19 201416
20 202116

About Nilima Biswas

Nilima Biswas is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Behavioral Neuroscience, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (4 papers), Biotin and Related Studies (3 papers), Retinal Diseases and Treatments (3 papers), Stress Responses and Cortisol (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Biological Psychiatry (135 citations), Behavioral Neuroscience (179 citations), Developmental Neuroscience (48 citations), Cellular and Molecular Neuroscience (194 citations) and Cell Biology (153 citations). Nilima Biswas has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Daniel T. O’Connor, Sushil K. Mahata, Jiaur R. Gayen, Caroline M. Nievergelt, Adam X. Maihofer, Dewleen G. Baker, Donald A. Barkauskas, Satish A. Eraly, Agorastos Agorastos and Sucheta M. Vaingankar. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Journal of Hypertension, Biochimica et Biophysica Acta (BBA) - General Subjects and Proceedings of the National Academy of Sciences.

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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