Cheng Keat Tan

563 citations
13 papers · 491 indexed · h-index 8
Topics
S100 Proteins and Annexins (4 papers)Cell death mechanisms and regulation (3 papers)Photosynthetic Processes and Mechanisms (3 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Cheng Keat Tan

13 papers receiving 472 citations

Peers

Cheng Keat Tan
Comparison fields: 5 of 69
  • Molecular Biology 384
  • Genetics 93
  • Oncology 83
  • Cancer Research 70
  • Epidemiology 53
Replace Toril A. Nagelhus with:
Toril A. Nagelhus Norway
Jianyou Gu China
Howard J. Leung United States
Wim van Driel Netherlands
Ming‐Chih Lai Taiwan
Jen‐Sing Liu United States
Scott R. Eberhardy United States
Alexandra Dittmer Germany
Tapio Kesti Finland
Kayo Kurahashi United States
Cheng Keat Tan relative to Toril A. Nagelhus Norway Toril A. Nagelhus's profile →
Citations per field
00.5×1.5×
Toril A. Nagelhus · 1×
Citations per year

Countries citing papers authored by Cheng Keat Tan

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Keat Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Keat Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Keat Tan. A scholar is included among the top collaborators of Cheng Keat Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng Keat Tan. Cheng Keat Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 7
2 14
3 1
4 9
5
Enzyme-linked immunosorbent assays and billfish gender: Testing muscle tissue and surface mucus in tagging studies
2
6 22
7 47
8 72
9 107
10 195
11 9
12 2
13 4

About Cheng Keat Tan

Cheng Keat Tan is a scholar working on Virology, Renewable Energy, Sustainability and the Environment and Microbiology, having authored 13 papers that have together received 491 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), Cell death mechanisms and regulation (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Virology (46 citations), Molecular Biology (384 citations) and Cancer Research (70 citations). Cheng Keat Tan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Antero G. So, Kathleen M. Downey, Marietta Lee, Jian Zhang, Dominic W. Chung, Robert A. Bambara, Thomas A. Kunkel, Ralph D. Sabatino, Earl W. Davie and John D. Roberts. Their work appears in journals such as Biochemistry, Molecules and Oncotarget.

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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