Carina P. Tan

4.9k citations
24 papers · 2.5k indexed · h-index 21

Carina P. Tan

24 papers receiving 2.4k citations

Peers

Carina P. Tan
Comparison fields: 5 of 78
  • Endocrine and Autonomic Systems 1.2k
  • Reproductive Medicine 536
  • Nutrition and Dietetics 698
  • Cellular and Molecular Neuroscience 802
  • Endocrinology, Diabetes and Metabolism 422
Replace Oksana Palyha with:
Oksana Palyha United States
Donna L. Hreniuk United States
Laura R. Fitzgerald United States
Shiro Minami Japan
Su Qian United States
Hideki Hiyama Japan
Sabine D. Jordan United States
Paola G. Andreis Italy
Alison I. Muir United Kingdom
Ali Ardati Switzerland
Carina P. Tan relative to Oksana Palyha United States Oksana Palyha's profile →
Citations per field
00.5×3.5×
Oksana Palyha · 1×
Citations per year

Countries citing papers authored by Carina P. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Carina P. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202012
2 201120
3 200613
4 200464
5 2003141
6 200225
7 200241
8 200128
9 2001111
10 200095
11 199944
12 1999400
13 199855
14 1997289
15 1997246
16 1997181
17 1996240
18 199494
19 199321
20 199263

About Carina P. Tan

Carina P. Tan is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Regulation of Appetite and Obesity (11 papers), Neuropeptides and Animal Physiology (10 papers), Biochemical Analysis and Sensing Techniques (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Pancreatic function and diabetes (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Reproductive Medicine (536 citations), Nutrition and Dietetics (698 citations), Cellular and Molecular Neuroscience (802 citations) and Endocrinology, Diabetes and Metabolism (422 citations). Carina P. Tan has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Andrew D. Howard, Scott D. Feighner, Oksana Palyha, Karen K. McKee, Donna L. Hreniuk, Roy G. Smith, Lex H.T. Van der Ploeg, David H. Weinberg, Nathalie Coulombe and Regina Cheng. Their work appears in journals such as FEBS Letters, Bioorganic & Medicinal Chemistry Letters, Biochemistry, Genomics and Molecular Endocrinology.

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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