Devki Nandan

42 papers receiving 2.1k citations

Peers

Devki Nandan
Comparison fields: 5 of 101
  • Immunology 709
  • Parasitology 207
  • Public Health, Environmental and Occupational Health 764
  • Epidemiology 647
  • Immunology and Allergy 86
Replace Salvador Iborra with:
Salvador Iborra Spain
Ronald M. Rerko United States
Martine Biard‐Piechaczyk France
Amanda C. Stanley Australia
Katsuyuki Yui Japan
Theresa H.T. Coetzer South Africa
Tamara I. A. Roach United Kingdom
J. Alejandro López Australia
David S. Schoenhaut United States
Anders Örn Sweden
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Citations per field
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Salvador Iborra · 1×
Citations per year

Countries citing papers authored by Devki Nandan

Since Specialization
Citations

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

Fields of papers citing papers by Devki Nandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001274
2 2008242
3 1999143
4 1995137
5 2002133
6 1999123
7 1997121
8 199987
9 199078
10 200463
11 200260
12 201260
13 201155
14 201745
15 200242
16 198739
17 200035
18 200735
19 200034
20 200329

About Devki Nandan

Devki Nandan is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Immunology, Epidemiology and Oncology, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (21 papers), Trypanosoma species research and implications (12 papers), Cytokine Signaling Pathways and Interactions (6 papers), Galectins and Cancer Biology (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Muscle Physiology and Disorders (4 papers), Cell Adhesion Molecules Research (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (709 citations), Parasitology (207 citations), Public Health, Environmental and Occupational Health (764 citations), Epidemiology (647 citations) and Immunology and Allergy (86 citations). Devki Nandan has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Neil E. Reiner, Judith M. Silverman, Martin Lopez, Raymond Lo, Keith L. Knutson, Maya Kozlowski, B. D. Sanwal, Leonard J. Foster, Francisco Díaz‐Mitoma and Wilfred Lim. Their work appears in journals such as The Journal of Immunology, Journal of Leukocyte Biology, Journal of Biological Chemistry, PLoS ONE and Proteins Structure Function and Bioinformatics.

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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