Tian‐Quan Cai

4.0k citations
37 papers · 3.0k indexed · 1 hit paper · h-index 23

Tian‐Quan Cai

36 papers receiving 2.9k citations

Hit Papers

(d)-β-Hydroxybutyrate Inhibits Adipocyte Lipolysis via th...5292005202620122019100200300400500

Peers

Tian‐Quan Cai
Comparison fields: 5 of 117
  • Immunology and Allergy 198
  • Endocrinology, Diabetes and Metabolism 475
  • Agronomy and Crop Science 272
  • Immunology 531
  • Cancer Research 358
Replace Regine Heller with:
Regine Heller Germany
Francisco Sobrino Spain
Rory A. Fisher United States
Riccardo Bertini Italy
John L. Humes United States
Jean Morisset Canada
Lutz Graeve Germany
Eve Reaven United States
Yoshihito Nakatani Japan
David B. Young United States
Tian‐Quan Cai relative to Regine Heller Germany Regine Heller's profile →
Citations per field
00.5×4.5×
Regine Heller · 1×
Citations per year

Countries citing papers authored by Tian‐Quan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Tian‐Quan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian‐Quan Cai. 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 Tian‐Quan Cai. The network helps show where Tian‐Quan Cai may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20160
3 201513
4 201520
5 200928
6 200820
7 200716
8 200669
9
(d)-β-Hydroxybutyrate Inhibits Adipocyte Lipolysis via the Nicotinic Acid Receptor PUMA-Gbreakdown →
2005529
10 20056
11 200517
12 2003104
13 200212
14 200160
15 2001146
16 200185
17 200185
18 2000203
19 1997203
20 199514

About Tian‐Quan Cai

Tian‐Quan Cai is a scholar working on Immunology and Allergy, Behavioral Neuroscience and Hematology, having authored 37 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Receptor Mechanisms and Signaling (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Protease and Inhibitor Mechanisms (4 papers), Hormonal Regulation and Hypertension (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology and Allergy (198 citations), Endocrinology, Diabetes and Metabolism (475 citations) and Agronomy and Crop Science (272 citations). Tian‐Quan Cai has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Samuel D. Wright, Birming Wong, M. Gerard Waters, Ning Ren, Xiaodong Gan, Andrew K.P. Taggart, Kang Cheng, Lan Jin, Ruoping Chen and P. G. Weston. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and The Journal of Experimental 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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