Hong‐Lin Chan

493 total citations
22 papers, 405 citations indexed

About

Hong‐Lin Chan is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Hong‐Lin Chan has authored 22 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Cancer Research. Recurrent topics in Hong‐Lin Chan's work include Cancer, Hypoxia, and Metabolism (3 papers), Oral microbiology and periodontitis research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Hong‐Lin Chan is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Oral microbiology and periodontitis research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Hong‐Lin Chan collaborates with scholars based in Taiwan, Ghana and United Kingdom. Hong‐Lin Chan's co-authors include Hsiu‐Chuan Chou, Yiwen Chen, Szu‐Ting Lin, John F. Timms, Chi‐Chen Lin, Jui‐Hsin Su, Linyi Chen, Yu‐Jung Chang, Shih‐Chao Lin and Yu‐Kuo Chen and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Hong‐Lin Chan

22 papers receiving 400 citations

Peers

Hong‐Lin Chan
Comparison fields: 5 of 89
  • Molecular Biology 186
  • Oncology 47
  • Cancer Research 44
  • Pharmacology 41
  • Cell Biology 32
Replace Chenxi Zhang with:
Chenxi Zhang China
Mythilypriya Rajendran India
Chi-Sen Chang Taiwan
Wenqin Liu China
Fangyuan Chen China
Ha‐Yong Yoon South Korea
Kwang-Youn Kim South Korea
Jin Su China
Jiahui Han China
Jia‐Yi Zheng China
Chenxi Zhang China View profile →
Citations per field, relative to Hong‐Lin Chan
Hong‐Lin Chan · 1×
Citations per year, relative to Hong‐Lin Chan
Hong‐Lin Chan · 1×

Countries citing papers authored by Hong‐Lin Chan

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Lin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Lin Chan. 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 Hong‐Lin Chan. The network helps show where Hong‐Lin Chan may publish in the future.

Co-authorship network of co-authors of Hong‐Lin Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Lin Chan. A scholar is included among the top collaborators of Hong‐Lin Chan 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 Hong‐Lin Chan. Hong‐Lin Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 11
3 3
4 7
5 21
6 18
7 7
8 28
9 22
10 1
11 46
12 6
13 14
14 2
15 64
16 19
17 55
18 7
19 39
20 6

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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