Akaash Kumar

563 citations
11 papers · 467 · h-index 8

Impact in

    • Systemic Lupus Erythematosus Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Atherosclerosis and Cardiovascular Diseases

Papers in

Akaash Kumar

10 papers receiving 446 citations

Peers

Akaash Kumar
Comparison fields: 5 of 43
  • Rheumatology 270
  • Immunology 270
  • Oncology 93
  • Radiology, Nuclear Medicine and Imaging 41
  • Automotive Engineering 15
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Dovilė Sinkevičiūtė Denmark
Sneha Purvey United States
Anna Nosko Germany
Wenmin Fei China
Raj P. Gupta United States
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Bing Yan China
Linda Kenins Switzerland
Gunnvor Øijordsbakken Norway
Susy A. Yusung United States
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Citations per field
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Citations per year

Countries citing papers authored by Akaash Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Akaash Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2011132
2 2011126
3 201093
4 202034
5 201230
6 201124
7 201213
8 20188
9 20245
10 20102
11 20210

About Akaash Kumar

Akaash Kumar is a scholar working on Rheumatology, Immunology, Automotive Engineering, Ocean Engineering and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 467 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (5 papers), Cytokine Signaling Pathways and Interactions (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Drilling and Well Engineering (1 paper), Tunneling and Rock Mechanics (1 paper), Hydraulic Fracturing and Reservoir Analysis (1 paper), T-cell and B-cell Immunology (1 paper) and Additive Manufacturing and 3D Printing Technologies (1 paper). The work is most often cited by research in Rheumatology (270 citations), Immunology (270 citations), Oncology (93 citations), Radiology, Nuclear Medicine and Imaging (41 citations) and Automotive Engineering (15 citations). Akaash Kumar has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Beverly S. Franek, Timothy B. Niewold, Tammy Olsen Utset, Meenakshi Jolly, Rachel A. Mikolaitis, Silvia N. Kariuki, Mary K. Crow, Marissa Kumabe, Andrew D. Skol and Kyriakos A. Kirou. Their work appears in journals such as Advanced Healthcare Materials, Annals of the Rheumatic Diseases, Clinical Immunology, Arthritis Research & Therapy and The Journal of Rheumatology.

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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