Ravi Salgia

48.7k citations
626 papers · 27.5k indexed · 5 hit papers · h-index 90

Ravi Salgia

610 papers receiving 27.0k citations

Hit Papers

Strat...192011202620162021250500750

Peers

Ravi Salgia
Comparison fields: 5 of 178
  • Hepatology 3.2k
  • Oncology 10.6k
  • Pulmonary and Respiratory Medicine 8.4k
  • Cancer Research 3.7k
  • Immunology and Allergy 1.4k
Replace Robert S. Kerbel with:
Robert S. Kerbel Canada
Jeffrey A. Engelman United States
James L. Abbruzzese United States
Setsuo Hirohashi Japan
Howard A. Burris United States
Fortunato Ciardiello Italy
Ming‐Sound Tsao Canada
Éric Raymond France
Alberto Bardelli Italy
Peter Schirmacher Germany
Ravi Salgia relative to Robert S. Kerbel Canada Robert S. Kerbel's profile →
Citations per field
00.5×1.5×2.1×
Robert S. Kerbel · 1×
Citations per year

Countries citing papers authored by Ravi Salgia

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Salgia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Strategic advancements in targeting the PI3K/AKT/mTOR pathway for Breast cancer therapybreakdown →
202519
2 202416
3 20230
4 202021
5 201916
6 201589
7 201440
8 2014150
9 201428
10 201465
11 201456
12 201352
13 201136
14 201128
15 201165
16 200979
17 2009211
18 2007129
19 2005467
20 2005198

About Ravi Salgia

Ravi Salgia is a scholar working on Oncology, Hepatology and Pulmonary and Respiratory Medicine, having authored 626 papers that have together received 27.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (199 papers), Lung Cancer Research Studies (103 papers), Liver physiology and pathology (68 papers), PI3K/AKT/mTOR signaling in cancer (61 papers), Lung Cancer Diagnosis and Treatment (59 papers), Colorectal Cancer Treatments and Studies (51 papers), Cancer Genomics and Diagnostics (49 papers) and Cancer therapeutics and mechanisms (40 papers). The work is most often cited by research in Hepatology (3.2k citations), Oncology (10.6k citations) and Pulmonary and Respiratory Medicine (8.4k citations). Ravi Salgia has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Martin Sattler, James D. Griffin, C. Patrick, Gautam Maulik, Jun Gong, James G. Christensen, Alex Chehrazi‐Raffle, Evan Pisick, Aliya N. Husain and Everett E. Vokes. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, Cancer Research, Journal of Thoracic Oncology and Journal of Clinical Medicine.

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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