Divya Thomas

1.5k citations
14 papers · 1.2k · h-index 11

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism

Papers in

Divya Thomas

14 papers receiving 1.1k citations

Peers

Divya Thomas
Comparison fields: 5 of 78
  • Oncology 454
  • Cancer Research 179
  • Immunology 224
  • Molecular Biology 517
  • Pathology and Forensic Medicine 111
Replace Stacey M. Bagby with:
Stacey M. Bagby United States
Mónica Musteanu Spain
Kandavel Shanmugam United States
Surabhi Y. Dangi-Garimella United States
Tetsuji Sawada Japan
Evangeline Mose United States
Kristiaan Lenos Netherlands
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Jari T. T. Sundström Finland
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Citations per field
00.5×1.5×
Stacey M. Bagby · 1×
Citations per year

Countries citing papers authored by Divya Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Divya Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019324
2
Multiple K-ras codon 12 mutations in cholangiocarcinomas demonstrated with a sensitive polymerase chain reaction technique.
1991301
3 2020274
4 202053
5 201941
6 200340
7 202135
8 202026
9 202025
10 201920
11 201911
12 202011
13 20255
14 20221

About Divya Thomas

Divya Thomas is a scholar working on Oncology, Cancer Research, Immunology, Pathology and Forensic Medicine and Molecular Biology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Pancreatitis Pathology and Treatment (2 papers), Galectins and Cancer Biology (2 papers), Genetic factors in colorectal cancer (2 papers), Phagocytosis and Immune Regulation (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (454 citations), Cancer Research (179 citations), Immunology (224 citations), Molecular Biology (517 citations) and Pathology and Forensic Medicine (111 citations). Divya Thomas has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Prakash Radhakrishnan, C. J. Marshall, Álvaro Urbano-Ispizúa, Rosalynn D. Gill, Carolyn J. Foster, Janet A. Gilbertson, Sarah R. Levi, Thomas C. Caffrey, Michael Anthony Hollingsworth and Paul M. Grandgenett. Their work appears in journals such as Molecular Therapy, Journal of Pharmacology and Experimental Therapeutics, Cancers, Journal of Cellular and Molecular Medicine and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.

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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