T Sethi

1.4k citations
37 papers · 1.1k indexed · h-index 17
Topics
Neuropeptides and Animal Physiology (9 papers)Neuroendocrine Tumor Research Advances (7 papers)Galectins and Cancer Biology (7 papers)
Journals
SHILAP Revista de lepidopterologíaGutThe FASEB Journal

In The Last Decade

T Sethi

36 papers receiving 1.1k citations

Peers

T Sethi
Comparison fields: 5 of 91
  • Molecular Biology 542
  • Oncology 422
  • Cellular and Molecular Neuroscience 323
  • Epidemiology 217
  • Pulmonary and Respiratory Medicine 141
Replace Eric Stefanich with:
Eric Stefanich United States
Cheh Peng Lim Singapore
Takako Ohsawa Japan
Nicholas Dean United States
Sudhir B. Kondapaka United States
Rosana Meyer United States
Rosa M. Guasch Spain
Axelle Cadoret France
Yves Labelle Canada
Jamie Erickson United States
T Sethi relative to Eric Stefanich United States Eric Stefanich's profile →
Citations per field
00.5×2.9×
Eric Stefanich · 1×
Citations per year

Countries citing papers authored by T Sethi

Since Specialization
Citations

This map shows the geographic impact of T Sethi'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 T Sethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Sethi more than expected).

Fields of papers citing papers by T Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Sethi

This figure shows the co-authorship network connecting the top 25 collaborators of T Sethi. A scholar is included among the top collaborators of T Sethi 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 T Sethi. T Sethi 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 4
2 1
3 3
4 23
5 35
6 6
7
GALECTIN-3 REGULATES EPITHELIAL TO MESENCHYMAL TRANSITION IN LUNG EPITHELIAL CELLS
1
8 147
9 114
10 20
11 31
12 13
13 25
14 12
15 30
16 7
17 16
18 8
19
CCKA and CCKB receptors are expressed in small cell lung cancer lines and mediate Ca2+ mobilization and clonal growth.
59
20
Multiple neuropeptides stimulate clonal growth of small cell lung cancer: effects of bradykinin, vasopressin, cholecystokinin, galanin, and neurotensin.
141

About T Sethi

T Sethi is a scholar working on Oncology, Cellular and Molecular Neuroscience and Immunology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Neuroendocrine Tumor Research Advances (7 papers) and Galectins and Cancer Biology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (323 citations), Oncology (422 citations) and Pharmacology (128 citations). T Sethi has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Enrique Rozengurt, Alison C. MacKinnon, SP Langdon, John Smyth, Philip S. Hodkinson, Christopher Haslett, Robert C. Rintoul, Neil C. Henderson, John W. Frew and Richard A. Flavell. Their work appears in journals such as SHILAP Revista de lepidopterología, Gut and The FASEB Journal.

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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