Amitabh Gaur

3.1k citations
30 papers · 2.1k indexed · h-index 18

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
  • Genetics top 5%
    • Diabetes and associated disorders

Papers in

    • T-cell and B-cell Immunology 10
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 5

Amitabh Gaur

30 papers receiving 2.1k citations

Peers

Amitabh Gaur
Comparison fields: 5 of 114
  • Immunology 1.2k
  • Genetics 394
  • Immunology and Allergy 79
  • Radiology, Nuclear Medicine and Imaging 266
  • Rheumatology 172
Replace Renu Jain with:
Renu Jain United States
Dolores Jaraquemada Spain
Noriko Okada Japan
C Schlüter Germany
Agustin P. Dalmasso United States
Daniel R. Getts United States
Henry B. Warren United States
Karsten Kretschmer Germany
George K. Papadopoulos Greece
Jill F. Wright United States
Amitabh Gaur relative to Renu Jain United States Renu Jain's profile →
Citations per field
00.5×2.6×
Renu Jain · 1×
Citations per year

Countries citing papers authored by Amitabh Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Amitabh Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201813
3 201578
4 201412
5 201355
6 20102
7 2004395
8 20041
9 200168
10 2001179
11 19989
12 199827
13 199717
14 199799
15 1996332
16 1993208
17 1993106
18 199036
19 198946
20 198711

About Amitabh Gaur

Amitabh Gaur is a scholar working on Immunology, Transplantation, Genetics, Behavioral Neuroscience and Hematology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Single-cell and spatial transcriptomics (4 papers), Mesenchymal stem cell research (3 papers), Diabetes Management and Research (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Immunology (1.2k citations), Genetics (394 citations), Immunology and Allergy (79 citations), Radiology, Nuclear Medicine and Imaging (266 citations) and Rheumatology (172 citations). Amitabh Gaur has collaborated with scholars based in United States, India and Germany. Frequent co-authors include C. Garrison Fathman, Lawrence Steinman, Paul Conlon, Stefan Brocke, Nicholas Ling, Christopher Piercy, Koenraad Gijbels, Jonathan B. Rothbard, Angela Liu and Paul D. Crowe. Their work appears in journals such as Clinical Immunology, Nature, Journal of Neuroimmunology, Science and Journal of Pharmaceutical 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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