C.H. Tan

2.4k citations
71 papers · 2.1k · h-index 23

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 5
    • Ion channel regulation and function 4
    • Venomous Animal Envenomation and Studies 5

C.H. Tan

69 papers receiving 1.9k citations

Peers

C.H. Tan
Comparison fields: 5 of 129
  • Physiology 209
  • Endocrinology, Diabetes and Metabolism 371
  • Biochemistry 131
  • Cancer Research 303
  • Aquatic Science 120
Replace M. Cameron Sullards with:
M. Cameron Sullards United States
Hwan‐Soo Yoo South Korea
Long Chen China
Se‐Jae Kim South Korea
Akiko Saito Japan
Pascal G.P. Martin France
Yoshitaka Takahashi Japan
Jae Ho Park South Korea
Ji‐Ming Ye Australia
W. Elaine Hardman United States
C.H. Tan relative to M. Cameron Sullards United States M. Cameron Sullards's profile →
Citations per field
00.5×1.5×2.2×
M. Cameron Sullards · 1×
Citations per year

Countries citing papers authored by C.H. Tan

Since Specialization
Citations

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

Fields of papers citing papers by C.H. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989443
2 2006279
3 2000238
4 1996115
5 197071
6 199464
7 199254
8 199254
9 199147
10 199538
11 196832
12 199231
13 200828
14 198928
15 198627
16 198827
17 197727
18 199225
19
Inhibition of RNA polymerase I transcription in differentiated myeloid leukemia cells by inactivation of selectivity factor 1.
200024
20 199523

About C.H. Tan

C.H. Tan is a scholar working on Molecular Biology, Genetics, Physiology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Venomous Animal Envenomation and Studies (5 papers), Reproductive Physiology in Livestock (4 papers), Ion channel regulation and function (4 papers) and Aquaculture Nutrition and Growth (4 papers). The work is most often cited by research in Physiology (209 citations), Endocrinology, Diabetes and Metabolism (371 citations), Biochemistry (131 citations), Cancer Research (303 citations) and Aquatic Science (120 citations). C.H. Tan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Peter Natesan Pushparaj, B.K.H. Tan, J. Manikandan, P.H.M. Lohman, Frits J. Berends, Jan A. Gossen, Ellen C. Zwarthoff, D.L. Knook, Jan Vijg and Byrappa Venkatesh. Their work appears in journals such as Toxicon, General and Comparative Endocrinology, Cellular and Molecular Life Sciences, Journal of Neurochemistry and Journal of Experimental Zoology.

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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