Rauf Bhat

1.0k citations
16 papers · 606 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 4
    • Immune Response and Inflammation 2
    • CAR-T cell therapy research 6

Rauf Bhat

16 papers receiving 600 citations

Peers

Rauf Bhat
Comparison fields: 5 of 58
  • Immunology 386
  • Oncology 258
  • Infectious Diseases 141
  • Genetics 124
  • Microbiology 19
Replace Mark H. Fogg with:
Mark H. Fogg United States
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Hyun‐Tak Jin South Korea
Ingrid G. J. Boer Netherlands
Amy Mauser United States
Xiaochuan Shan United States
Stacie Lambert United States
Kimberly E. Cook Germany
Jaroslav Hollý United States
Mark J. McCarron United States
Rauf Bhat relative to Mark H. Fogg United States Mark H. Fogg's profile →
Citations per field
00.5×1.5×2.3×
Mark H. Fogg · 1×
Citations per year

Countries citing papers authored by Rauf Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Rauf Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007216
2 200574
3 201069
4 201249
5 200546
6 201333
7 201525
8 200525
9 202019
10 202113
11 202111
12 20158
13 20226
14 20166
15 20215
16 20211

About Rauf Bhat

Rauf Bhat is a scholar working on Immunology, Oncology, Infectious Diseases, Genetics and Epidemiology, having authored 16 papers that have together received 606 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Virus-based gene therapy research (4 papers), T-cell and B-cell Immunology (4 papers), COVID-19 Clinical Research Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (386 citations), Oncology (258 citations), Infectious Diseases (141 citations), Genetics (124 citations) and Microbiology (19 citations). Rauf Bhat has collaborated with scholars based in Germany, Saudi Arabia and United States. Frequent co-authors include Carsten Watzl, Jean Rommelaere, Christiane Dinsart, Fahad N. Almajhdi, Max Bastian, Steffen Stenger, Mohamed A. Farrag, Frank Stegelmann, Robert L. Modlin and Alan M. Krensky. Their work appears in journals such as The Journal of Immunology, Infection and Drug Resistance, Virology Journal, International Archives of Allergy and Immunology and Journal of Leukocyte Biology.

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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