Ashwin S. Kumar

27 papers receiving 614 citations

Ashwin S. Kumar's Hit Papers

Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer 2025 · 26 citations
260+2+4Years since publication50100150200

Peers

Ashwin S. Kumar
Comparison fields: 5 of 87
  • Oncology 182
  • Rehabilitation 34
  • Immunology 104
  • Immunology and Allergy 25
  • Cancer Research 42
Replace Nicolas Gengenbacher with:
Nicolas Gengenbacher Germany
Sofia Karkampouna Switzerland
Florence T.H. Wu United States
Joel A. Yates United States
Marianne O. Stefanini United States
Man Jiang China
Bhavani S. Kowtharapu Germany
Elizabeth J. Haining United Kingdom
Joachim Theilhaber United States
Caterina Sturtzel Austria
Ashwin S. Kumar relative to Nicolas Gengenbacher Germany Nicolas Gengenbacher's profile →
Citations per field
00.5×2×3.1×
Nicolas Gengenbacher · 1×
Citations per year

Countries citing papers authored by Ashwin S. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashwin S. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Losartan treatment enhances chemotherapy efficacy and reduces ascites in ovarian cancer models by normalizing the tumor stroma
Hit paper breakdown →
2019207
2 2021103
3 201046
4 202341
5 202335
6 201135
7 202132
8
Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer
Hit paper breakdown →
202526
9 201319
10 202312
11 202412
12 202011
13 20229
14
A New Framework for Color Image Segmentation Using Watershed Algorithm
20117
15 20247
16 20245
17 20174
18 20253
19 20221
20 20251

About Ashwin S. Kumar

Ashwin S. Kumar is a scholar working on Oncology, Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Genetics, having authored 32 papers that have together received 623 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Pericarditis and Cardiac Tamponade (4 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Cells and Metastasis (2 papers), Muscle Physiology and Disorders (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (182 citations), Rehabilitation (34 citations), Immunology (104 citations), Immunology and Allergy (25 citations) and Cancer Research (42 citations). Ashwin S. Kumar has collaborated with scholars based in United States, Switzerland and Cyprus. Frequent co-authors include Rakesh K. Jain, Ümit V. Çatalyürek, Doruk Bozdağ, Dai Fukumura, Triantafyllos Stylianopoulos, Dennis Jones, Mahasweta Girgenrath, Zohreh Amoozgar, Junichiro Yamauchi and William W. Ho. Their work appears in journals such as Journal of the American College of Cardiology, Proceedings of the National Academy of Sciences, Cancer Immunology Research, Clinical Cancer Research and Human Molecular Genetics.

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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