Pawan Dhami

1.7k citations
19 papers · 400 · h-index 9

Impact in

    • T-cell and B-cell Immunology
    • Psoriasis: Treatment and Pathogenesis
    • Immune Cell Function and Interaction
  • Periodontics top 10%
    • Oral microbiology and periodontitis research

Papers in

    • Single-cell and spatial transcriptomics 4
    • Epigenetics and DNA Methylation 3
    • Retinal Development and Disorders 2
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3

Pawan Dhami

18 papers receiving 397 citations

Peers

Pawan Dhami
Comparison fields: 5 of 64
  • Immunology 113
  • Periodontics 18
  • Rheumatology 33
  • Aging 4
  • Molecular Biology 147
Replace Wataru Kumamaru with:
Wataru Kumamaru Japan
Eun Chun Han South Korea
Amelie Nemc Austria
Nienke Roescher Netherlands
Anna M. Marzeda United Kingdom
Debbie Roeleveld Netherlands
Katalin Olasz Hungary
Kamar‐Sulu N. Atretkhany Russia
Irene Di Ceglie Netherlands
EK Kapsogeorgou Greece
Pawan Dhami relative to Wataru Kumamaru Japan Wataru Kumamaru's profile →
Citations per field
00.5×10×20×27×
Wataru Kumamaru · 1×
Citations per year

Countries citing papers authored by Pawan Dhami

Since Specialization
Citations

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

Fields of papers citing papers by Pawan Dhami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202275
2 201852
3 202451
4 202244
5 202339
6 202335
7 200632
8 202314
9 202110
10 20248
11 20228
12 20238
13 20227
14 20255
15 20245
16 20254
17 20242
18 20231
19 20250

About Pawan Dhami

Pawan Dhami is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Rheumatology, having authored 19 papers that have together received 400 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Retinal Development and Disorders (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Immunology (113 citations), Periodontics (18 citations), Rheumatology (33 citations), Aging (4 citations) and Molecular Biology (147 citations). Pawan Dhami has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Shichina Kannambath, Ulrich D. Kadolsky, Heli Vaikkinen, Shanta J. Persaud, Stephan Beck, Michael J. Pitcher, Nils Koelling, Paul T. Sharpe, Ana Angelova Volponi and Francesca Capon. Their work appears in journals such as Genome Research, Arthritis & Rheumatology, Nature Communications, Frontiers in Genetics and Clinical Cancer Research.

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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