Tricia Tan

6.4k citations
168 papers · 3.6k indexed · 1 hit paper · h-index 32

Tricia Tan

162 papers receiving 3.5k citations

Hit Papers

Targeting the incretin system in obesity and type 2 diabe...4420242026202510203040

Peers

Tricia Tan
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Endocrine and Autonomic Systems 626
  • Physiology 1.0k
  • Pharmacology 569
  • Surgery 1.2k
Replace M. Diamant with:
M. Diamant Netherlands
Mariana P. Monteiro Portugal
Henrike Sell Germany
R. S. Sherwin United States
Hiroshi Yamamoto Japan
Sandeep Dhindsa United States
Alice Y. Chang Taiwan
Koji Fujii Japan
Makoto Daimon Japan
R. A. Rizza United States
Tricia Tan relative to M. Diamant Netherlands M. Diamant's profile →
Citations per field
00.5×3.0×
M. Diamant · 1×
Citations per year

Countries citing papers authored by Tricia Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tricia Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20247
3 20244
4 20248
5 202412
6 20231
7 20238
8 20236
9 20232
10 202313
11 20236
12 20231
13 202313
14 202210
15 202221
16 20213
17 20211
18
Evodiamine Exerts Anticancer Effects Against 143B and MG63 Cells Through the Wnt/β-Catenin Signaling Pathway
20201
19
Dihydrotanshinone I inhibits the growth of osteosarcoma through the Wnt/β-catenin signaling pathway
20191
20
Pancreatic polypeptide: a novel substrate for the endopeptidase neprilysin
20101

About Tricia Tan

Tricia Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 168 papers that have together received 3.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (58 papers), Diet and metabolism studies (42 papers), Pharmacology and Obesity Treatment (28 papers), Bariatric Surgery and Outcomes (27 papers), Regulation of Appetite and Obesity (24 papers), Pancreatic function and diabetes (19 papers), Pituitary Gland Disorders and Treatments (17 papers) and Hormonal Regulation and Hypertension (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Endocrine and Autonomic Systems (626 citations) and Physiology (1.0k citations). Tricia Tan has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Stephen R. Bloom, R. Troke, Bernard Khoo, Karim Meeran, Ben Jones, Waljit S. Dhillo, James Minnion, George Tharakan, Mohammad A. Ghatei and David C. D. Hope.

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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