Rama Pai

4.0k citations
65 papers · 3.4k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Rama Pai

65 papers receiving 3.3k citations

Hit Papers

Prostaglandin E2 transactivates EGF receptor: A novel mechanism for promoting colon cancer growth and gastrointestinal hypertrophy 2002 · 690 citations
6902002202620102018200400600

Peers

Rama Pai
Comparison fields: 5 of 115
  • Pharmacology 755
  • Cancer Research 467
  • Biochemistry 222
  • Hepatology 243
  • Molecular Biology 1.5k
Replace Masataka Majima with:
Masataka Majima Japan
Yasushi Fukushima Japan
Fumiko Sekiguchi Japan
David E. Dostal United States
James J. Potter United States
Kimberly D. Kluckman United States
Sharon DeMorrow United States
Joseph Satriano United States
Motonobu Anai Japan
Akira Hashiramoto Japan
Rama Pai relative to Masataka Majima Japan Masataka Majima's profile →
Citations per field
00.5×1.5×
Masataka Majima · 1×
Citations per year

Countries citing papers authored by Rama Pai

Since Specialization
Citations

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

Fields of papers citing papers by Rama Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201262
2 2008108
3 200747
4 200572
5 2005185
6 2004138
7 200230
8 200246
9 200189
10 200125
11 200128
12 200153
13 200111
14 200111
15 200026
16 199834
17 199889
18 199836
19 199620
20 19944

About Rama Pai

Rama Pai is a scholar working on Immunology and Allergy, Hepatology, Pharmacology, Nephrology and Immunology, having authored 65 papers that have together received 3.4k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (14 papers), Inflammatory mediators and NSAID effects (11 papers), Angiogenesis and VEGF in Cancer (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Fibroblast Growth Factor Research (5 papers), Liver Disease and Transplantation (5 papers), Cell Adhesion Molecules Research (5 papers) and Galectins and Cancer Biology (5 papers). The work is most often cited by research in Pharmacology (755 citations), Cancer Research (467 citations), Biochemistry (222 citations), Hepatology (243 citations) and Molecular Biology (1.5k citations). Rama Pai has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Andrzej S. Tarnawski, Imre Szabó, Dolgor Baatar, Brian Soreghan, Hirofumi Kawanaka, Woo Sung Moon, Toshikazu Nakamura, Michael K. Jones, Tzong‐Shyuan Lee and Li-Jen Wang. Their work appears in journals such as Gastroenterology, Biochemical and Biophysical Research Communications, Life Sciences, The FASEB Journal and Hepatology.

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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