Rathi Gangeswaran

1.8k citations
19 papers · 1.4k indexed · h-index 18

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Hippo pathway signaling and YAP/TAZ

Papers in

Rathi Gangeswaran

19 papers receiving 1.4k citations

Peers

Rathi Gangeswaran
Comparison fields: 5 of 89
  • Oncology 601
  • Cell Biology 291
  • Cancer Research 253
  • Molecular Biology 835
  • Biotechnology 84
Replace Masachika Tani with:
Masachika Tani Japan
Roman Nawroth Germany
Michael M. Im United States
Alberto Martín Spain
Shinobu Gamou Japan
Motoyoshi Tanaka Japan
Chie Nishioka Japan
Carmela Calés Spain
Valentina Evdokimova Canada
Gerhard Leder Germany
Rathi Gangeswaran relative to Masachika Tani Japan Masachika Tani's profile →
Citations per field
00.5×3.6×
Masachika Tani · 1×
Citations per year

Countries citing papers authored by Rathi Gangeswaran

Since Specialization
Citations

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

Fields of papers citing papers by Rathi Gangeswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202130
2 202036
3 201310
4 201256
5 201222
6 201123
7 201125
8 200926
9 2008271
10 200736
11 2007117
12 200624
13 2006245
14 2005137
15 2005110
16 2003143
17 199758
18 199627
19 199341

About Rathi Gangeswaran

Rathi Gangeswaran is a scholar working on Biotechnology, Genetics, Oncology, Reproductive Medicine and Cell Biology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Cancer Research and Treatments (4 papers), CAR-T cell therapy research (4 papers), Pancreatic and Hepatic Oncology Research (2 papers), S100 Proteins and Annexins (2 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Oncology (601 citations), Cell Biology (291 citations), Cancer Research (253 citations), Molecular Biology (835 citations) and Biotechnology (84 citations). Rathi Gangeswaran has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Nicholas R. Lemoine, Tatjana Crnogorac‐Jurcevic, Yaohe Wang, Vipul Bhakta, Keith T. Jones, Patrick C. Mahon, Patrick Baril, Ming Yuan, Robert R. Eady and Eithne Costello. Their work appears in journals such as Molecular Therapy, Biochemical Journal, Oncogene, Journal of Virology and Clinical Cancer Research.

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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