Ashwin S. Kumar

997 total citations · 2 hit papers
30 papers, 559 citations indexed

About

Ashwin S. Kumar is a scholar working on Oncology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ashwin S. Kumar has authored 30 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ashwin S. Kumar's work include Cancer Immunotherapy and Biomarkers (6 papers), Pericarditis and Cardiac Tamponade (4 papers) and Cancer Cells and Metastasis (3 papers). Ashwin S. Kumar is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Pericarditis and Cardiac Tamponade (4 papers) and Cancer Cells and Metastasis (3 papers). Ashwin S. Kumar collaborates with scholars based in United States, Switzerland and Cyprus. Ashwin S. Kumar's co-authors include Rakesh K. Jain, Ümit V. Çatalyürek, Doruk Bozdağ, Dai Fukumura, Triantafyllos Stylianopoulos, Junichiro Yamauchi, Mahasweta Girgenrath, Zohreh Amoozgar, Dennis Jones and William W. Ho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Experimental Medicine.

In The Last Decade

Ashwin S. Kumar

24 papers receiving 550 citations

Hit Papers

Losartan treatment enhances chemotherapy efficacy and red... 2019 2026 2021 2023 2019 2025 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashwin S. Kumar United States 11 210 198 112 76 62 30 559
Dan G. Duda United States 5 259 1.2× 200 1.0× 151 1.3× 139 1.8× 143 2.3× 8 736
Ursula Kohlhofer Germany 16 225 1.1× 150 0.8× 86 0.8× 74 1.0× 97 1.6× 30 663
Naita M. Wirsik Germany 9 143 0.7× 220 1.1× 91 0.8× 43 0.6× 86 1.4× 22 443
Haibin Wu China 13 249 1.2× 145 0.7× 134 1.2× 56 0.7× 101 1.6× 32 513
Filip Roudnicky Switzerland 13 388 1.8× 217 1.1× 186 1.7× 50 0.7× 87 1.4× 29 720
Jessica M. Posada United States 10 226 1.1× 354 1.8× 263 2.3× 97 1.3× 128 2.1× 18 707
Florence T.H. Wu United States 14 442 2.1× 214 1.1× 102 0.9× 55 0.7× 156 2.5× 24 739
Yoshihiro Otani Japan 15 373 1.8× 329 1.7× 95 0.8× 54 0.7× 119 1.9× 65 853
Rajiv Magge United States 17 218 1.0× 155 0.8× 75 0.7× 104 1.4× 118 1.9× 50 1.0k
Priyakshi Kalita‐de Croft Australia 14 360 1.7× 131 0.7× 101 0.9× 45 0.6× 136 2.2× 25 594

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-authorship network of co-authors of Ashwin S. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin S. Kumar. A scholar is included among the top collaborators of Ashwin S. Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashwin S. Kumar. Ashwin S. Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nia, Hadi T., Meenal Datta, Ashwin S. Kumar, et al.. (2025). Solid Stress Estimations via Intraoperative 3D Navigation in Patients with Brain Tumors. Clinical Cancer Research. 31(16). 3571–3580. 1 indexed citations
2.
Voutouri, Chrysovalantis, et al.. (2025). Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer. Nature reviews. Cancer. 25(5). 324–340. 19 indexed citations breakdown →
3.
Lee, Somin, Zohreh Amoozgar, Sonu Subudhi, et al.. (2025). Wnt inhibition alleviates resistance to anti-PD1 therapy and improves antitumor immunity in glioblastoma. Proceedings of the National Academy of Sciences. 122(38). e2414941122–e2414941122.
4.
Datta, Meenal, Laura E. Via, Véronique Dartois, et al.. (2024). Normalizing granuloma vasculature and matrix improves drug delivery and reduces bacterial burden in tuberculosis-infected rabbits. Proceedings of the National Academy of Sciences. 121(14). e2321336121–e2321336121. 10 indexed citations
5.
Combes, Anna, Simon Vandekar, Ashwin S. Kumar, et al.. (2024). Biological variation in cervical spinal cord MRI morphometry in healthy individuals and people with multiple sclerosis. Journal of Neuroimaging. 34(4). 466–474.
6.
Gomes‐Santos, Igor L., Ashwin S. Kumar, M. Meyer, et al.. (2024). Exercise intensity governs tumor control in mice with breast cancer. Frontiers in Immunology. 15. 1339232–1339232. 4 indexed citations
7.
Kumar, Ashwin S., Ankit Agrawal, Lidiya Sul, et al.. (2024). Pericardial Disease in Cardiac Amyloidosis: A Comprehensive Review. The American Journal of Cardiology. 223. 100–108. 3 indexed citations
8.
Boucher, Yves, Jessica M. Posada, Sonu Subudhi, et al.. (2023). Addition of Losartan to FOLFIRINOX and Chemoradiation Reduces Immunosuppression-Associated Genes, Tregs, and FOXP3+ Cancer Cells in Locally Advanced Pancreatic Cancer. Clinical Cancer Research. 29(8). 1605–1619. 30 indexed citations
9.
Lei, Pin‐Ji, Ethel R. Pereira, Zohreh Amoozgar, et al.. (2023). Cancer cell plasticity and MHC-II–mediated immune tolerance promote breast cancer metastasis to lymph nodes. The Journal of Experimental Medicine. 220(9). 35 indexed citations
10.
Agrawal, Ankit, Ashwin S. Kumar, Mary Schleicher, et al.. (2023). Optimal antiplatelet strategy following coronary artery bypass grafting: a meta-analysis. Heart. 110(5). 323–330. 10 indexed citations
11.
Kumar, Ashwin S., Harjit Singh, Ankit Agrawal, et al.. (2023). IMMUNE-MEDIATED MYOCARDITIS FOLLOWING SINGLE DOSE OF ADJUVANT ATEZOLIZUMAB: DOES BENEFIT OUTWEIGH RISK?. Journal of the American College of Cardiology. 81(8). 2537–2537.
13.
Agrawal, Ankit, et al.. (2022). Abstract 14984: Transient Constrictive Pericarditis: Pericardiectomy to the Rescue. Circulation. 146(Suppl_1).
14.
Subburaju, Sivan, Pranay Goel, Jun Ren, et al.. (2022). Gabrb3 endothelial cell-specific knockout mice display abnormal blood flow, hypertension, and behavioral dysfunction. Scientific Reports. 12(1). 4922–4922. 8 indexed citations
15.
Agrawal, Ankit, et al.. (2022). IBRUTINIB INDUCED ATRIAL FIBRILLATION AND ITS ASSOCIATED MANAGEMENT. Journal of the American College of Cardiology. 79(9). 3361–3361. 1 indexed citations
16.
Boucher, Yves, Ashwin S. Kumar, Jessica M. Posada, et al.. (2021). Bevacizumab improves tumor infiltration of mature dendritic cells and effector T-cells in triple-negative breast cancer patients. npj Precision Oncology. 5(1). 62–62. 30 indexed citations
17.
Gomes‐Santos, Igor L., Zohreh Amoozgar, Ashwin S. Kumar, et al.. (2021). Exercise Training Improves Tumor Control by Increasing CD8+ T-cell Infiltration via CXCR3 Signaling and Sensitizes Breast Cancer to Immune Checkpoint Blockade. Cancer Immunology Research. 9(7). 765–778. 91 indexed citations
18.
Yamauchi, Junichiro, et al.. (2013). Triggering regeneration and tackling apoptosis: a combinatorial approach to treating congenital muscular dystrophy type 1 A. Human Molecular Genetics. 22(21). 4306–4317. 19 indexed citations
19.
Kumar, Ashwin S. & Pradeep Kumar. (2011). A New Framework for Color Image Segmentation Using Watershed Algorithm. Computer Engineering and Intelligent Systems. 2(3). 41–46. 7 indexed citations
20.
Kumar, Ashwin S., et al.. (2011). Muscle-specific expression of insulin-like growth factor 1 improves outcome in Lama2Dy-w mice, a model for congenital muscular dystrophy type 1A. Human Molecular Genetics. 20(12). 2333–2343. 32 indexed citations

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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