Subhash Dhawan

2.1k citations
56 papers · 1.8k indexed · h-index 22

Impact in

Papers in

    • HIV Research and Treatment 26
    • HIV/AIDS drug development and treatment 12
    • HIV/AIDS Research and Interventions 5

Subhash Dhawan

55 papers receiving 1.8k citations

Peers

Subhash Dhawan
Comparison fields: 5 of 99
  • Virology 653
  • Molecular Medicine 143
  • Immunology 564
  • Immunology and Allergy 115
  • Emergency Medicine 170
Replace Yuji Iizawa with:
Yuji Iizawa Japan
Gabriele Sass United States
S A Gregory United States
Jeng‐Pyng Shaw United States
Mohammad Husain India
Kiyoko S. Akagawa Japan
M A Gougerot-Pocidalo France
Ying‐Ju Lin Taiwan
Murugesan V. S. Rajaram United States
Shan Lü China
Subhash Dhawan relative to Yuji Iizawa Japan Yuji Iizawa's profile →
Citations per field
00.5×10.6×
Yuji Iizawa · 1×
Citations per year

Countries citing papers authored by Subhash Dhawan

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Dhawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201734
2 20153
3 20142
4 201414
5 201318
6 20121
7 200616
8 20054
9 200217
10 200220
11 200214
12 1998108
13 1998139
14 199747
15 19967
16 1996105
17 19948
18 199413
19 199330
20 199116

About Subhash Dhawan

Subhash Dhawan is a scholar working on Virology, Infectious Diseases, Emergency Medicine, Immunology and Immunology and Allergy, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (26 papers), HIV/AIDS drug development and treatment (12 papers), Heme Oxygenase-1 and Carbon Monoxide (11 papers), HIV-related health complications and treatments (9 papers), Immune Cell Function and Interaction (5 papers), HIV/AIDS Research and Interventions (5 papers), RNA Interference and Gene Delivery (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Virology (653 citations), Molecular Medicine (143 citations), Immunology (564 citations), Immunology and Allergy (115 citations) and Emergency Medicine (170 citations). Subhash Dhawan has collaborated with scholars based in United States, Canada and Slovakia. Frequent co-authors include Bharat B. Aggarwal, Ashok Kumar, Kenneth M. Yamada, Krishnakumar Devadas, Indira Hewlett, Neil J. Hardegen, Jay S. Epstein, Ashok Kumar, Robert M. Lafrenie and Sunil K. Manna. Their work appears in journals such as The Journal of Immunology, Peptides, Biochemical and Biophysical Research Communications, Journal of Leukocyte Biology and Virology.

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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