Nirmal Kumar Sampathkumar

664 citations
15 papers · 396 indexed · h-index 10
Topics
Immune cells in cancer (4 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)Molecular Biology Techniques and Applications (2 papers)

In The Last Decade

Nirmal Kumar Sampathkumar

15 papers receiving 394 citations

Peers

Nirmal Kumar Sampathkumar
Comparison fields: 5 of 101
  • Molecular Biology 148
  • Immunology 81
  • Physiology 69
  • Aging 50
  • Neurology 43
Replace Fangfang Zhu with:
Fangfang Zhu China
Kalpita R. Karan United States
Kana Tominaga Japan
Mingru Yin China
Yotam Raz Netherlands
Prasanna Katti United States
Marcela K. Preininger United States
Laura Newman United States
William Dodd United States
Nathalie Didier France
Nirmal Kumar Sampathkumar relative to Fangfang Zhu China Fangfang Zhu's profile →
Citations per field
00.5×1.7×
Fangfang Zhu · 1×
Citations per year

Countries citing papers authored by Nirmal Kumar Sampathkumar

Since Specialization
Citations

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

Fields of papers citing papers by Nirmal Kumar Sampathkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nirmal Kumar Sampathkumar. 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 Nirmal Kumar Sampathkumar. The network helps show where Nirmal Kumar Sampathkumar may publish in the future.

Co-authorship network of co-authors of Nirmal Kumar Sampathkumar

This figure shows the co-authorship network connecting the top 25 collaborators of Nirmal Kumar Sampathkumar. A scholar is included among the top collaborators of Nirmal Kumar Sampathkumar 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 Nirmal Kumar Sampathkumar. Nirmal Kumar Sampathkumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 10
3 12
4 83
5 4
6 1
7 2
8 37
9 75
10 35
11 1
12 29
13 22
14 27
15 57

About Nirmal Kumar Sampathkumar

Nirmal Kumar Sampathkumar is a scholar working on Aging, Immunology and Fluid Flow and Transfer Processes, having authored 15 papers that have together received 396 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Aging (50 citations), Neurology (43 citations) and Biological Psychiatry (11 citations). Nirmal Kumar Sampathkumar has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ryan Lu, Bérénice A. Benayoun, Juan I. Bravo, Julien Grenier, Charbel Massaad, A. Cēbers, Jean‐François Berret, Shalina Taylor, Kévin Contrepois and Minhoo Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

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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