Sushma Thomas

1.2k citations
21 papers · 278 · h-index 9

Impact in

  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism
    • Inflammatory mediators and NSAID effects
    • CAR-T cell therapy research
    • Drug Transport and Resistance Mechanisms

Papers in

Sushma Thomas

20 papers receiving 267 citations

Peers

Sushma Thomas
Comparison fields: 5 of 65
  • Pharmacology 66
  • Oncology 125
  • Hematology 32
  • Pathology and Forensic Medicine 35
  • Pharmacology 32
Replace Koen G. A. M. Hussaarts with:
Koen G. A. M. Hussaarts Netherlands
Vincent Duval Switzerland
Justine L. Lam United States
Patricia Macanas-Pirard United Kingdom
Svetlana Markova United States
Jenny Mao United States
Kathryn Burns New Zealand
George Cusatis United States
Svetlana Markova United States
Git Chung United Kingdom
Sushma Thomas relative to Koen G. A. M. Hussaarts Netherlands Koen G. A. M. Hussaarts's profile →
Citations per field
00.5×1.5×
Koen G. A. M. Hussaarts · 1×
Citations per year

Countries citing papers authored by Sushma Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Sushma Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201145
2 200638
3 202234
4 201133
5 201922
6 201022
7 201016
8 201516
9 200615
10 20157
11 20227
12 20185
13 20204
14 20174
15 20013
16 20212
17 20242
18 20251
19 20231
20 20251

About Sushma Thomas

Sushma Thomas is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Pharmacology and Surgery, having authored 21 papers that have together received 278 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers), Neonatal Health and Biochemistry (3 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Pharmacology (66 citations), Oncology (125 citations), Hematology (32 citations), Pathology and Forensic Medicine (35 citations) and Pharmacology (32 citations). Sushma Thomas has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Johanna W. Lampe, Jeannette Bigler, Karen W. Makar, John D. Potter, Shuying S. Li, Jeannine S. McCune, Douglas S. Hawkins, Brianne S. Raccor, Jean Dinh and Julie R. Park. Their work appears in journals such as Cancer Research, Cancer Epidemiology Biomarkers & Prevention, Transplantation and Cellular Therapy, Mammalian Genome and Cancer Biomarkers.

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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