Jaideep V. Thottassery

1.5k citations
31 papers · 1.2k indexed · h-index 18
Topics
Cancer-related Molecular Pathways (5 papers)Pharmacogenetics and Drug Metabolism (4 papers)Drug Transport and Resistance Mechanisms (4 papers)
Partner nations
United StatesEgyptJapan

In The Last Decade

Jaideep V. Thottassery

30 papers receiving 1.2k citations

Peers

Jaideep V. Thottassery
Comparison fields: 5 of 95
  • Molecular Biology 570
  • Oncology 565
  • Pharmacology 205
  • Genetics 151
  • Pediatrics, Perinatology and Child Health 147
Replace Linda S. Wood with:
Linda S. Wood United States
Roos L. Oostendorp Netherlands
J. K. Burmester United States
Ken Ohmine Japan
Ashwini L. Chand Australia
Tsunekazu Kita Japan
Wesley O. McBride United States
Hae‐Yun Jung South Korea
Ulrich Marti Switzerland
Bart Jessen United States
Jaideep V. Thottassery relative to Linda S. Wood United States Linda S. Wood's profile →
Citations per field
00.5×2.6×
Linda S. Wood · 1×
Citations per year

Countries citing papers authored by Jaideep V. Thottassery

Since Specialization
Citations

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

Fields of papers citing papers by Jaideep V. Thottassery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaideep V. Thottassery. 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 Jaideep V. Thottassery. The network helps show where Jaideep V. Thottassery may publish in the future.

Co-authorship network of co-authors of Jaideep V. Thottassery

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 6
3 11
4 53
5 34
6 24
7 89
8 47
9 49
10 15
11
A preclinical study of tamoxifen in combination with bevacizumab (Avastin) for the treatment of ER-positive breast cancer
0
12 128
13 26
14 18
15 267
16 56
17 23
18 6
19 14
20 1

About Jaideep V. Thottassery

Jaideep V. Thottassery is a scholar working on Pharmacology, Oncology and Biotechnology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Pharmacology (205 citations), Oncology (565 citations) and Cancer Research (142 citations). Jaideep V. Thottassery has collaborated with scholars based in United States, Egypt and Japan. Frequent co-authors include John D. Schuetz, Erin G. Schuetz, Gerard P. Zambetti, Kazuto Yasuda, Cynthia Brimer, Evan D. Kharasch, Hitoshi Ishizuka, Tauri Senn, Kenneth E. Thummel and Kazuhiko Arimori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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