Senthilkumar Damodaran

18 papers receiving 662 citations

Peers

Senthilkumar Damodaran
Comparison fields: 5 of 84
  • Cancer Research 252
  • Pathology and Forensic Medicine 87
  • Molecular Biology 291
  • Genetics 115
  • Oncology 95
Replace Ulrike Schwarz‐Boeger with:
Ulrike Schwarz‐Boeger Germany
Jiang-Cheng Shen United States
Y. Hey United Kingdom
Patricia F. van Kuijk Netherlands
Ian C. MacArthur United States
Timothée Revil Canada
Ciyu Yang United States
Larry H. Rohde United States
Guangwu Huang China
Maximilian Zwiebel Germany
Senthilkumar Damodaran relative to Ulrike Schwarz‐Boeger Germany Ulrike Schwarz‐Boeger's profile →
Citations per field
00.5×2×4×6.8×
Ulrike Schwarz‐Boeger · 1×
Citations per year

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-authors

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

All Works

18 of 18 papers shown
#Work
1 2015203
2 201777
3 201961
4 201461
5 201556
6 200652
7 201546
8 202229
9 200425
10 200725
11 201212
12 200910
13 20107
14 20116
15 20074
16 20113
17 20201
18 20141

About Senthilkumar Damodaran

Senthilkumar Damodaran is a scholar working on Cancer Research, Spectroscopy, Hematology, Molecular Biology and Oncology, having authored 18 papers that have together received 679 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Advanced Proteomics Techniques and Applications (4 papers), Genomics and Phylogenetic Studies (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomics and Rare Diseases (2 papers), Lung Cancer Treatments and Mutations (2 papers), CRISPR and Genetic Engineering (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (252 citations), Pathology and Forensic Medicine (87 citations), Molecular Biology (291 citations), Genetics (115 citations) and Oncology (95 citations). Senthilkumar Damodaran has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Eric Samorodnitsky, Julie W. Reeser, Jharna Datta, Jharna Miya, Michele R. Wing, Darshna Bhatt, Raffi Hagopian, Richard A. Rabin, Michael F. Berger and Troy D. Wood. Their work appears in journals such as Journal of Molecular Diagnostics, Clinical Cancer Research, Clinical Colorectal Cancer, Molecular Cancer Therapeutics and OMICS A Journal of Integrative Biology.

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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