Senthil R. Kumar

873 total citations
25 papers, 643 citations indexed

About

Senthil R. Kumar is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Senthil R. Kumar has authored 25 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Senthil R. Kumar's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). Senthil R. Kumar is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). Senthil R. Kumar collaborates with scholars based in United States, Australia and India. Senthil R. Kumar's co-authors include Susan L. Deutscher, Thomas P. Quinn, Fabio Gallazzi, Jeffrey N. Bryan, Said Daibes Figueroa, Eric T. Kimchi, Edward R. Sauter, Jussuf T. Kaifi, Yariswamy Manjunath and Riccardo Ferdani and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and PLoS ONE.

In The Last Decade

Senthil R. Kumar

24 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senthil R. Kumar United States 14 318 255 151 114 113 25 643
Meili Zhang China 14 181 0.6× 183 0.7× 188 1.2× 140 1.2× 85 0.8× 31 595
Aaron M. LeBeau United States 14 315 1.0× 116 0.5× 296 2.0× 67 0.6× 167 1.5× 28 686
Seshi R. Sompuram United States 16 527 1.7× 301 1.2× 212 1.4× 86 0.8× 70 0.6× 38 761
Kodela Vani United States 16 490 1.5× 240 0.9× 206 1.4× 67 0.6× 69 0.6× 31 715
Stefan Foser Switzerland 11 223 0.7× 99 0.4× 130 0.9× 144 1.3× 67 0.6× 18 507
Nick G. Costouros United States 14 334 1.1× 133 0.5× 97 0.6× 49 0.4× 115 1.0× 20 654
Christina Alves United States 13 378 1.2× 97 0.4× 159 1.1× 56 0.5× 53 0.5× 23 640
Gary Li United States 13 355 1.1× 128 0.5× 197 1.3× 136 1.2× 74 0.7× 32 702
Karen L. Billeci United States 9 602 1.9× 287 1.1× 191 1.3× 225 2.0× 92 0.8× 10 862
Robert E. Reeves United States 13 302 0.9× 182 0.7× 223 1.5× 140 1.2× 64 0.6× 14 800

Countries citing papers authored by Senthil R. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Senthil R. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthil R. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Senthil R. Kumar. A scholar is included among the top collaborators of Senthil R. 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 Senthil R. Kumar. Senthil R. 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, Senthil R., et al.. (2020). RNA cargos in extracellular vesicles derived from blood serum in pancreas associated conditions. Scientific Reports. 10(1). 2800–2800. 71 indexed citations
2.
Kumar, Senthil R., et al.. (2019). Molecular targets for tivantinib (ARQ 197) and vasculogenic mimicry in human melanoma cells. European Journal of Pharmacology. 853. 316–324. 10 indexed citations
3.
Luo, Yuying, et al.. (2018). A novel strategy to produce high level and high purity of bioactive IL15 fusion proteins from mammalian cells. Protein Expression and Purification. 148. 30–39. 4 indexed citations
4.
Kumar, Senthil R., et al.. (2017). Testis specific Y-like 5: gene expression, methylation and implications for drug sensitivity in prostate carcinoma. BMC Cancer. 17(1). 158–158. 17 indexed citations
5.
6.
Kumar, Senthil R., et al.. (2014). 6-Thioguanine and zebularine down-regulate DNMT1 and globally demethylate canine malignant lymphoid cells. BMC Veterinary Research. 10(1). 290–290. 15 indexed citations
7.
Kumar, Senthil R., et al.. (2014). In Vivo Bacteriophage Peptide Display to Tailor Pharmacokinetics of Biological Nanoparticles. Molecular Imaging and Biology. 16(6). 854–864. 8 indexed citations
8.
9.
Bryan, Jeffrey N., et al.. (2013). Zebularine significantly sensitises MEC1 cells to external irradiation and radiopharmaceutical therapy when administered sequentially in vitro. Cell Biology International. 38(2). 187–197. 3 indexed citations
10.
Axiak‐Bechtel, Sandra M., et al.. (2013). Y-chromosome DNA Is Present in the Blood of Female Dogs Suggesting the Presence of Fetal Microchimerism. PLoS ONE. 8(7). e68114–e68114. 12 indexed citations
11.
Kumar, Senthil R., et al.. (2013). The health effects of fetal microchimerism can be modeled in companion dogs. PubMed. 4(4). 139–141. 4 indexed citations
12.
13.
Kumar, Senthil R., Fabio Gallazzi, Riccardo Ferdani, et al.. (2010). In Vitro and In Vivo Evaluation of 64 Cu-Radiolabeled KCCYSL Peptides for Targeting Epidermal Growth Factor Receptor-2 in Breast Carcinomas. Cancer Biotherapy and Radiopharmaceuticals. 25(6). 693–703. 45 indexed citations
14.
Deutscher, Susan L., Gerald Gui, Jessica R. Newton, et al.. (2010). Carbohydrate antigens in nipple aspirate fluid predict the presence of atypia and cancer in women requiring diagnostic breast biopsy. BMC Cancer. 10(1). 519–519. 19 indexed citations
15.
Deutscher, Susan L., Said Daibes Figueroa, & Senthil R. Kumar. (2009). 111In‐labeled KCCYSL peptide as an imaging probe for ErbB‐2‐expressing ovarian carcinomas. Journal of Labelled Compounds and Radiopharmaceuticals. 52(14). 583–590. 22 indexed citations
16.
Deutscher, Susan L., Said Daibes Figueroa, & Senthil R. Kumar. (2009). Tumor targeting and SPECT imaging properties of an 111In-labeled galectin-3 binding peptide in prostate carcinoma. Nuclear Medicine and Biology. 36(2). 137–146. 36 indexed citations
17.
Kumar, Senthil R. & Susan L. Deutscher. (2008). 111In-Labeled Galectin-3–Targeting Peptide as a SPECT Agent for Imaging Breast Tumors. Journal of Nuclear Medicine. 49(5). 796–803. 44 indexed citations
18.
Ojha, Namrata, Chinmay K. Mukhopadhyay, Nitin Patel, et al.. (2006). IL‐6 and IL‐12 specifically regulate the expression of Rab5 and Rab7 via distinct signaling pathways. The EMBO Journal. 25(12). 2878–2888. 46 indexed citations
19.
Kumar, Senthil R., Edward R. Sauter, Thomas P. Quinn, & Susan L. Deutscher. (2005). Thomsen-Friedenreich and Tn Antigens in Nipple Fluid: Carbohydrate Biomarkers for Breast Cancer Detection. Clinical Cancer Research. 11(19). 6868–6871. 43 indexed citations
20.
Kumar, Senthil R., et al.. (2004). Cloned Human TCR from Patients with Autoimmune Disease Can Respond to Two Structurally Distinct Autoantigens. The Journal of Immunology. 172(6). 3940–3947. 10 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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