Ravi A. Kumar

508 total citations
27 papers, 358 citations indexed

About

Ravi A. Kumar is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Ravi A. Kumar has authored 27 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Physiology. Recurrent topics in Ravi A. Kumar's work include Mitochondrial Function and Pathology (5 papers), Muscle metabolism and nutrition (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Ravi A. Kumar is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Muscle metabolism and nutrition (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Ravi A. Kumar collaborates with scholars based in United States, India and Netherlands. Ravi A. Kumar's co-authors include Leonardo F. Ferreira, Terence E. Ryan, Trace Thome, Zachary R. Salyers, Salvatore T. Scali, Dongwoo Hahn, Andrew R. Coggan, Demetra D. Christou, Ram B. Khattri and Russell T. Hepple and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physiology.

In The Last Decade

Ravi A. Kumar

25 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravi A. Kumar United States 9 138 82 76 56 34 27 358
Łukasz Gwoździński Poland 10 101 0.7× 58 0.7× 76 1.0× 58 1.0× 25 0.7× 18 411
Bojana Kisić Serbia 12 161 1.2× 62 0.8× 90 1.2× 40 0.7× 20 0.6× 24 445
Chang-Eun Park South Korea 12 229 1.7× 38 0.5× 123 1.6× 49 0.9× 35 1.0× 64 582
Sophie Neugebauer Germany 13 250 1.8× 22 0.3× 65 0.9× 36 0.6× 33 1.0× 30 552
Han De-wu China 10 123 0.9× 26 0.3× 111 1.5× 90 1.6× 30 0.9× 28 493
Claudia Cristina Tărniceriu Romania 8 251 1.8× 37 0.5× 132 1.7× 22 0.4× 27 0.8× 20 474
Stephanie J. Weiss United States 7 92 0.7× 22 0.3× 53 0.7× 52 0.9× 19 0.6× 22 365
Iqra Hameed India 6 142 1.0× 21 0.3× 80 1.1× 43 0.8× 23 0.7× 15 472
Irena Marková Czechia 14 173 1.3× 29 0.4× 107 1.4× 102 1.8× 56 1.6× 57 514

Countries citing papers authored by Ravi A. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ravi A. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi A. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi A. Kumar. A scholar is included among the top collaborators of Ravi A. 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 Ravi A. Kumar. Ravi A. 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.
Kumar, Ravi A., et al.. (2023). Automobile Valuation Prediction Using Machine Learning based Algorithms. 1–5. 1 indexed citations
2.
3.
Salyers, Zachary R., Ravi A. Kumar, Trace Thome, et al.. (2022). S100A8 and S100A9 are elevated in chronically threatened ischemic limb muscle and induce ischemic mitochondrial pathology in mice. SHILAP Revista de lepidopterología. 3. 232–245. 8 indexed citations
4.
Kumar, Ravi A., Andrew R. Coggan, & Leonardo F. Ferreira. (2022). Nitric oxide and skeletal muscle contractile function. Nitric Oxide. 122-123. 54–61. 19 indexed citations
5.
Kumar, Ravi A., et al.. (2022). Skeletal muscle Nox4 knockout prevents and Nox2 knockout blunts loss of maximal diaphragm force in mice with heart failure with reduced ejection fraction. Free Radical Biology and Medicine. 194. 23–32. 5 indexed citations
6.
Hahn, Dongwoo, Ravi A. Kumar, Terence E. Ryan, et al.. (2021). Skeletal myopathy in a rat model of postmenopausal heart failure with preserved ejection fraction. Journal of Applied Physiology. 132(1). 106–125. 6 indexed citations
7.
Hahn, Dongwoo, et al.. (2021). Nox4 Knockout Does Not Prevent Diaphragm Atrophy, Contractile Dysfunction, or Mitochondrial Maladaptation in the Early Phase Post-Myocardial Infarction in Mice. Cellular Physiology and Biochemistry. 55(4). 489–504. 5 indexed citations
8.
Ali, Akhtar, et al.. (2021). Comparison of Incidence of Myocardial Infarction in Patients With Rheumatoid Arthritis and Diabetes Mellitus. Cureus. 13(6). e15716–e15716. 6 indexed citations
9.
Thome, Trace, Ravi A. Kumar, Sarah Burke, et al.. (2020). Impaired muscle mitochondrial energetics is associated with uremic metabolite accumulation in chronic kidney disease. JCI Insight. 6(1). 56 indexed citations
10.
Kumar, Ravi A., et al.. (2020). Dietary nitrate supplementation increases diaphragm peak power in old mice. The Journal of Physiology. 598(19). 4357–4369. 7 indexed citations
11.
Gray, Sarah E., Trace Thome, Ravi A. Kumar, et al.. (2019). Chronic kidney disease exacerbates ischemic limb myopathy in mice via altered mitochondrial energetics. Scientific Reports. 9(1). 15547–15547. 33 indexed citations
12.
13.
Gandhi, Monica, Sarita Devi, Peter Bacchetti, et al.. (2019). Measuring Adherence to Antiretroviral Therapy via Hair Concentrations in India. JAIDS Journal of Acquired Immune Deficiency Syndromes. 81(2). 202–206. 15 indexed citations
14.
Hahn, Dongwoo, Ravi A. Kumar, Terence E. Ryan, & Leonardo F. Ferreira. (2019). Mitochondrial Respiration and H 2 O 2 Emission in Saponin‐permeabilized Murine Diaphragm Fibers: Optimization of Fiber Separation and Comparison to Limb Muscle. The FASEB Journal. 33(S1). 1 indexed citations
15.
Kumar, Ravi A., Samsher Gautam, & Suresh Chandra. (2016). Studies on proximate analysis of biscuits using multigrain flours during ambient condition. International Journal of Food Sciences and Nutrition. 1(2). 39–41. 3 indexed citations
16.
Syeda-Mahmood, Tanveer, Fei Wang, Ravi A. Kumar, et al.. (2012). Finding Similar 2D X-Ray Coronary Angiograms. Lecture notes in computer science. 15(Pt 3). 501–508. 8 indexed citations
17.
Zhong, Xiaotian, Nilufer P. Seth, Z. Sean Juo, et al.. (2012). Engineering novel Lec1 glycosylation mutants in CHO–DUKX cells: Molecular insights and effector modulation of N‐acetylglucosaminyltransferase I. Biotechnology and Bioengineering. 109(7). 1723–1734. 23 indexed citations
18.
Kumar, Ravi A., Angelos Barmpoutis, Arunava Banerjee, & Baba C. Vemuri. (2010). Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(3). 533–567. 13 indexed citations
19.
Kumar, Ravi A., Abhijit Kulkarni, Vaidyanathan Jayaraman, & B. D. Kulkarni. (2004). Symbolization assisted SVM classifier for noisy data. Pattern Recognition Letters. 25(4). 495–504. 7 indexed citations
20.
Kumar, Ravi A., et al.. (1974). Isolation, Characterization, and Taxonomy of Aquaspirillum bengal sp.nov.. International Journal of Systematic Bacteriology. 24(4). 453–458. 11 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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