Arvind Sahu

4.4k citations
87 papers · 3.4k · h-index 33

Impact in

  • Immunology top 1%
    • Complement system in diseases
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
  • Virology top 2%

Papers in

Arvind Sahu

85 papers receiving 3.3k citations

Peers

Arvind Sahu
Comparison fields: 5 of 115
  • Immunology 2.1k
  • Virology 252
  • Hematology 401
  • Nephrology 205
  • Infectious Diseases 415
Replace David E. Isenman with:
David E. Isenman Canada
Nicole M. Thielens France
Georgia Sfyroera United States
Periasamy Selvaraj United States
Russell D. Salter United States
Pierre Bruhns France
M D Cooper United States
Jens Christian Jensenius Denmark
Rory M. Marks United States
Paul W. Dempsey United States
Arvind Sahu relative to David E. Isenman Canada David E. Isenman's profile →
Citations per field
00.5×
David E. Isenman · 1×
Citations per year

Countries citing papers authored by Arvind Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001425
2 1996229
3 1999140
4 2000125
5 1996124
6 2017121
7 1998117
8 1998112
9 199993
10 200091
11 199384
12 199481
13 199880
14 199980
15 199780
16 199976
17 200372
18 200170
19 200268
20 200057

About Arvind Sahu

Arvind Sahu is a scholar working on Immunology, Epidemiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 87 papers that have together received 3.4k indexed citations. Recurring topics across this work include Complement system in diseases (47 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Herpesvirus Infections and Treatments (14 papers), Glycosylation and Glycoproteins Research (10 papers), Poxvirus research and outbreaks (8 papers), Mosquito-borne diseases and control (8 papers), Blood groups and transfusion (7 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Immunology (2.1k citations), Virology (252 citations), Hematology (401 citations), Nephrology (205 citations) and Infectious Diseases (415 citations). Arvind Sahu has collaborated with scholars based in India, United States and Greece. Frequent co-authors include John D. Lambris, Michael K. Pangburn, Jayati Mullick, Brian K. Kay, Athena M. Soulika, Dimitrios Morikis, Akhilesh K. Singh, William T. Moore, Ioannis K. Zarkadis and J. Oriol Sunyer. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Journal of Virology, Journal of Biological Chemistry 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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