Ajit Wilson

980 citations
21 papers · 708 · h-index 17

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 12
    • Chemokine receptors and signaling 3

Ajit Wilson

20 papers receiving 702 citations

Peers

Ajit Wilson
Comparison fields: 5 of 91
  • Immunology 203
  • Biological Psychiatry 15
  • Epidemiology 164
  • Physiology 102
  • Cancer Research 51
Replace Nadeem Akhter with:
Nadeem Akhter Kuwait
Fatema Al‐Rashed Kuwait
Huei Jiunn Seow Australia
Areej Al-Roub Kuwait
Dawn J. Mazzatti United Kingdom
Toshiaki Teratani Japan
Fawaz Alzaïd France
Roel P. H. De Maeyer United Kingdom
Heidi Ehrentraut Germany
Beatriz Castejón‐Vega Spain
Ajit Wilson relative to Nadeem Akhter Kuwait Nadeem Akhter's profile →
Citations per field
00.5×1.5×
Nadeem Akhter · 1×
Citations per year

Countries citing papers authored by Ajit Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ajit Wilson, 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 Ajit Wilson Line = papers co-authored together Ajit Wilson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202163
2 201860
3 201960
4 201860
5 201959
6 201852
7 202350
8 202344
9 201743
10 201937
11 201932
12 202030
13 201624
14 202123
15 202417
16 201917
17 202216
18 201511
19 20248
20 20242

About Ajit Wilson

Ajit Wilson is a scholar working on Epidemiology, Oncology, Physiology, Immunology and Molecular Biology, having authored 21 papers that have together received 708 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (5 papers), Chemokine receptors and signaling (3 papers), Immune Response and Inflammation (3 papers), Immune cells in cancer (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Immunology (203 citations), Biological Psychiatry (15 citations), Epidemiology (164 citations), Physiology (102 citations) and Cancer Research (51 citations). Ajit Wilson has collaborated with scholars based in Kuwait, France and Australia. Frequent co-authors include Sardar Sindhu, Rasheed Ahmad, Shihab Kochumon, Nadeem Akhter, Fahd Al‐Mulla, Steve Shenouda, Reeby Thomas, Hossein Arefanian, Areej Al-Roub and Ashraf Al Madhoun. Their work appears in journals such as International Journal of Molecular Sciences, Cellular Physiology and Biochemistry, Diabetes, Cells and Journal of Inflammation 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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