Tzu-Min Chan

24 papers receiving 734 citations

Peers

Tzu-Min Chan
Comparison fields: 5 of 105
  • Aging 22
  • Genetics 105
  • Developmental Neuroscience 37
  • Cellular and Molecular Neuroscience 105
  • Molecular Biology 386
Replace Song Shi with:
Song Shi China
Aligholi Sobhani Iran
Gyu‐Un Bae South Korea
Junyu Chen China
Hyun‐Jun Jang South Korea
Jewel L. Podratz United States
Serena Grossi Italy
Shohei Murakami Japan
Daohua Xu China
Yingzhao Yan China
Tzu-Min Chan relative to Song Shi China Song Shi's profile →
Citations per field
00.5×5.3×
Song Shi · 1×
Citations per year

Countries citing papers authored by Tzu-Min Chan

Since Specialization
Citations

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

Fields of papers citing papers by Tzu-Min Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Min 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 Tzu-Min Chan. The network helps show where Tzu-Min Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014137
2 201587
3 201570
4 201554
5 200845
6 201442
7 201538
8 201433
9 201432
10 201429
11 201525
12 201424
13 200821
14 201520
15 201420
16 201516
17 201415
18 201514
19 20149
20 20146

About Tzu-Min Chan

Tzu-Min Chan is a scholar working on Molecular Biology, Surgery, Genetics, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 24 papers that have together received 745 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Mesenchymal stem cell research (3 papers), Congenital heart defects research (3 papers), Nerve injury and regeneration (2 papers), Cancer, Lipids, and Metabolism (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Aging (22 citations), Genetics (105 citations), Developmental Neuroscience (37 citations), Cellular and Molecular Neuroscience (105 citations) and Molecular Biology (386 citations). Tzu-Min Chan has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Shinn‐Zong Lin, Horng-Jyh Harn, Chih‐Pin Chuu, Horng‐Jyh Harn, Ching-Shiang Chi, Shyi-Jou Chen, Giia-Sheun Peng, Hui-Ping Lin, Shao‐Chih Chiu and Horng‐Dar Wang. Their work appears in journals such as Cell Transplantation, Oncotarget, PLoS ONE, International Journal of Molecular Sciences and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.

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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