Senthilkumar Damodaran

861 total citations
17 papers, 548 citations indexed

About

Senthilkumar Damodaran is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Senthilkumar Damodaran has authored 17 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Senthilkumar Damodaran's work include Cancer Genomics and Diagnostics (7 papers), Advanced Proteomics Techniques and Applications (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Senthilkumar Damodaran is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Advanced Proteomics Techniques and Applications (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Senthilkumar Damodaran collaborates with scholars based in United States, United Kingdom and India. Senthilkumar Damodaran's co-authors include Sukla Roychowdhury, Jharna Datta, Eric Samorodnitsky, Julie W. Reeser, Jharna Miya, Michele R. Wing, Darshna Bhatt, Raffi Hagopian, Richard A. Rabin and Michael F. Berger and has published in prestigious journals such as Clinical Cancer Research, European Journal of Pharmacology and Molecular Cancer Therapeutics.

In The Last Decade

Senthilkumar Damodaran

17 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senthilkumar Damodaran United States 10 292 227 117 106 85 17 548
Rosamaria Pinto Italy 16 408 1.4× 274 1.2× 124 1.1× 128 1.2× 97 1.1× 28 655
Patricia F. van Kuijk Netherlands 10 580 2.0× 450 2.0× 101 0.9× 60 0.6× 82 1.0× 11 769
Larry H. Rohde United States 15 295 1.0× 98 0.4× 59 0.5× 107 1.0× 52 0.6× 18 589
Matthew D. Smith United States 17 579 2.0× 118 0.5× 96 0.8× 292 2.8× 93 1.1× 25 845
Jiang-Cheng Shen United States 8 798 2.7× 370 1.6× 133 1.1× 133 1.3× 58 0.7× 8 1.0k
Yafang Lin China 7 373 1.3× 128 0.6× 105 0.9× 129 1.2× 47 0.6× 12 752
Yu-Wei Leu Taiwan 13 800 2.7× 165 0.7× 221 1.9× 124 1.2× 43 0.5× 19 967
Markus J. van Roosmalen Netherlands 17 650 2.2× 344 1.5× 352 3.0× 180 1.7× 57 0.7× 26 1.1k
Timothée Revil Canada 13 878 3.0× 172 0.8× 81 0.7× 81 0.8× 64 0.8× 19 1.0k
Veronika I. Zabarovska Sweden 13 508 1.7× 146 0.6× 88 0.8× 98 0.9× 30 0.4× 19 635

Countries citing papers authored by Senthilkumar Damodaran

Since Specialization
Citations

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

Fields of papers citing papers by Senthilkumar Damodaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthilkumar Damodaran

This figure shows the co-authorship network connecting the top 25 collaborators of Senthilkumar Damodaran. A scholar is included among the top collaborators of Senthilkumar Damodaran 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 Senthilkumar Damodaran. Senthilkumar Damodaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Roy, Madhuchhanda, Mediget Teshome, Senthilkumar Damodaran, et al.. (2020). Male Mammary Paget Disease: A Tale of 2 Contrasting Cases. American Journal of Dermatopathology. 42(12). 981–985. 1 indexed citations
2.
Hess, Kenneth R., Filip Jankú, Nora Sánchez, et al.. (2019). Cell-free Circulating Tumor DNA Variant Allele Frequency Associates with Survival in Metastatic Cancer. Clinical Cancer Research. 26(8). 1924–1931. 40 indexed citations
3.
Datta, Jharna, Senthilkumar Damodaran, Jharna Miya, et al.. (2017). Akt Activation Mediates Acquired Resistance to Fibroblast Growth Factor Receptor Inhibitor BGJ398. Molecular Cancer Therapeutics. 16(4). 614–624. 72 indexed citations
4.
Damodaran, Senthilkumar & Sameek Roychowdhury. (2015). Genomics and Precision Cancer Medicine. 11(2). 145–145. 1 indexed citations
5.
Damodaran, Senthilkumar, Jharna Miya, Esko A. Kautto, et al.. (2015). Cancer Driver Log (CanDL). Journal of Molecular Diagnostics. 17(5). 554–559. 36 indexed citations
6.
Samorodnitsky, Eric, Raffi Hagopian, Jharna Miya, et al.. (2015). Evaluation of Hybridization Capture Versus Amplicon‐Based Methods for Whole‐Exome Sequencing. Human Mutation. 36(9). 903–914. 175 indexed citations
7.
Damodaran, Senthilkumar, Michael F. Berger, & Sukla Roychowdhury. (2015). Clinical Tumor Sequencing: Opportunities and Challenges for Precision Cancer Medicine. American Society of Clinical Oncology Educational Book. e175–e182. 52 indexed citations
8.
Samorodnitsky, Eric, Jharna Datta, Raffi Hagopian, et al.. (2014). Comparison of Custom Capture for Targeted Next-Generation DNA Sequencing. Journal of Molecular Diagnostics. 17(1). 64–75. 54 indexed citations
9.
Zhao, Weiqiang, Senthilkumar Damodaran, & Miguel A. Villalona‐Calero. (2014). From Single-Gene to Multiplex Analysis in Lung Cancer, Challenges and Accomplishments: A Review of a Single Institution’s Experience. PubMed. 3(4). 315–324. 1 indexed citations
10.
Damodaran, Senthilkumar & Erin M. Olson. (2012). Targeting the Human Epidermal Growth Factor Receptor 2 Pathway in Breast Cancer. Hospital Practice. 40(4). 7–15. 11 indexed citations
11.
Damodaran, Senthilkumar, et al.. (2011). A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data. Proteome Science. 9(1). 14–14. 2 indexed citations
12.
Damodaran, Senthilkumar, et al.. (2011). Acute Myeloid Leukemia Secondary to Oxaliplatin Treatment for Esophageal Cancer. Clinical Colorectal Cancer. 11(2). 151–154. 6 indexed citations
13.
Damodaran, Senthilkumar. (2009). Cocaine and beta-blockers: The paradigm. European Journal of Internal Medicine. 21(2). 84–86. 7 indexed citations
14.
Damodaran, Senthilkumar & Richard A. Rabin. (2007). Minimizing Variability in Two-dimensional Electrophoresis Gel Image Analysis. OMICS A Journal of Integrative Biology. 11(2). 225–230. 3 indexed citations
15.
Damodaran, Senthilkumar, Troy D. Wood, Priyadharsini Nagarajan, & Richard A. Rabin. (2007). Evaluating Peptide Mass Fingerprinting-Based Protein Identification. Genomics Proteomics & Bioinformatics. 5(3-4). 152–157. 22 indexed citations
16.
Damodaran, Senthilkumar, Cynthia A. Dlugos, Troy D. Wood, & Richard A. Rabin. (2006). Effects of chronic ethanol administration on brain protein levels: A proteomic investigation using 2-D DIGE system. European Journal of Pharmacology. 547(1-3). 75–82. 42 indexed citations
17.
Damodaran, Senthilkumar, et al.. (2004). Distribution of ABO blood groups in acute leukaemias and lymphomas. Annals of Hematology. 83(9). 584–7. 23 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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