Mohinder Bansal

1.3k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Mohinder Bansal is a scholar working on Reproductive Medicine, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mohinder Bansal has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Reproductive Medicine, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mohinder Bansal's work include Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (3 papers) and Reproductive System and Pregnancy (2 papers). Mohinder Bansal is often cited by papers focused on Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (3 papers) and Reproductive System and Pregnancy (2 papers). Mohinder Bansal collaborates with scholars based in India, Australia and United Kingdom. Mohinder Bansal's co-authors include Stephen M. Mahler, Asne R. Bauskin, Stella M. Valenzuela, Xiao Yan He, Kimberley Pryor, Michelle Bootcov, Anthony G. Moore, Richard C. Nicholson, W. Douglas Fairlie and Suzanne B. Por and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Life Sciences and Reproduction.

In The Last Decade

Mohinder Bansal

11 papers receiving 1.0k citations

Hit Papers

MIC-1, a novel macrophage inhibitory cytokine, is a diver... 1997 2026 2006 2016 1997 250 500 750

Peers

Mohinder Bansal
Comparison fields: 5 of 97
  • Rheumatology 802
  • Physiology 535
  • Immunology 506
  • Molecular Biology 223
  • Cellular and Molecular Neuroscience 155
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Citations per field, relative to Mohinder Bansal
Mohinder Bansal · 1×
Citations per year, relative to Mohinder Bansal
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Countries citing papers authored by Mohinder Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Mohinder Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohinder Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Mohinder Bansal. A scholar is included among the top collaborators of Mohinder Bansal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohinder Bansal. Mohinder Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 30
2 8
3
MIC-1, a novel macrophage inhibitory cytokine, is a divergent member of the TGF-β superfamily breakdown →
956
4 8
5 7
6 8
7 1
8 4
9 0
10 20
11 11
12 5

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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