Inder Sehgal

44 papers receiving 1.5k citations

Peers

Inder Sehgal
Comparison fields: 5 of 108
  • Cancer Research 367
  • Immunology and Allergy 111
  • Oncology 482
  • Biotechnology 106
  • Molecular Biology 807
Replace Chunhui Di with:
Chunhui Di United States
Patrick Baril France
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Inder Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Inder Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In vivo gene therapy with p53 or p21 adenovirus for prostate cancer.
1995188
2 1999146
3 1996134
4 1994121
5 199597
6
Requirement for matrix metalloproteinase-9 (gelatinase B) expression in metastasis by murine prostate carcinoma.
199893
7 201283
8 199081
9
Transforming growth factor beta1 stimulates contrasting responses in metastatic versus primary mouse prostate cancer-derived cell lines in vitro.
199672
10 201156
11 200850
12 200447
13 199444
14 200631
15 200029
16 200126
17 200324
18 200519
19 200418
20
Neuropeptides induce Mr 92,000 type IV collagenase (matrix metalloprotease-9) activity in human prostate cancer cell lines.
199815

About Inder Sehgal

Inder Sehgal is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Genetics, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Prostate Cancer Treatment and Research (9 papers), Cell Adhesion Molecules Research (4 papers), Virus-based gene therapy research (4 papers), S100 Proteins and Annexins (4 papers), Cancer-related Molecular Pathways (4 papers), RNA Interference and Gene Delivery (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Cancer Research (367 citations), Immunology and Allergy (111 citations), Oncology (482 citations), Biotechnology (106 citations) and Molecular Biology (807 citations). Inder Sehgal has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Timothy C. Thompson, Garth Powis, Guang Yang, Nita J. Maihle, Mark R. Pittelkow, Joseph Francis, Martha Sibrian‐Vazquez, Terry L. Timme, Robert T. Abraham and Scott Powers. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Clinical & Experimental Metastasis, International Journal of Radiation Oncology*Biology*Physics and Molecular Biology of the Cell.

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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