Jinyi Shao

4.0k citations
38 papers · 3.5k indexed · 1 hit paper · h-index 27

Jinyi Shao

37 papers receiving 3.4k citations

Hit Papers

Prostaglandin E2 Increases Growth and Motility of Colorec...5712001202620092017100200300400500

Peers

Jinyi Shao
Comparison fields: 5 of 124
  • Pharmacology 1.7k
  • Cancer Research 686
  • Genetics 1.1k
  • Biochemistry 231
  • Oncology 867
Replace Kostyantyn Krysan with:
Kostyantyn Krysan United States
Andrew Silver United Kingdom
Lesley‐Ann Martin United Kingdom
Michele Yip-Schneider United States
Paul D. Crowe United States
Kyung S. Lee United States
Elizabeth A. Williamson United States
Kuen‐Feng Chen Taiwan
Philip W. Iversen United States
Poornima Bhat‐Nakshatri United States
Jinyi Shao relative to Kostyantyn Krysan United States Kostyantyn Krysan's profile →
Citations per field
00.5×3.0×
Kostyantyn Krysan · 1×
Citations per year

Countries citing papers authored by Jinyi Shao

Since Specialization
Citations

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

Fields of papers citing papers by Jinyi Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20129
3 200724
4 2005169
5 200430
6 200478
7 20036
8 2001149
9 200165
10
Prostaglandin E2 Increases Growth and Motility of Colorectal Carcinoma Cellsbreakdown →
2001571
11 200134
12 200190
13 2000175
14 200073
15 200064
16 2000229
17 200065
18 199954
19 199873
20 1998175

About Jinyi Shao

Jinyi Shao is a scholar working on Pharmacology, Oncology and Genetics, having authored 38 papers that have together received 3.5k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (19 papers), Estrogen and related hormone effects (11 papers), Colorectal Cancer Treatments and Studies (7 papers), Genetic factors in colorectal cancer (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer, Lipids, and Metabolism (4 papers), TGF-β signaling in diseases (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Pharmacology (1.7k citations), Cancer Research (686 citations) and Genetics (1.1k citations). Jinyi Shao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hongmiao Sheng, Raymond N. DuBois, R. Daniel Beauchamp, M. Kay Washington, Christopher S. Williams, Jason D. Morrow, Alastair J.M. Watson, Hiroyasu Inoue, B. Mark Evers and Chunming Liu. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Gastroenterology.

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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