Kun‐Bow Tsai

762 citations
42 papers · 530 · h-index 13

Impact in

Papers in

    • Salivary Gland Tumors Diagnosis and Treatment 4
    • Viral-associated cancers and disorders 4
    • Ear and Head Tumors 3

Kun‐Bow Tsai

41 papers receiving 516 citations

Peers

Kun‐Bow Tsai
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 43
  • Dermatology 54
  • Gastroenterology 22
  • Oncology 102
  • Pathology and Forensic Medicine 65
Replace Xiao‐Ke Yang with:
Xiao‐Ke Yang China
E. Colombo Italy
Salma Kotti France
Sabine Geiger United States
Jaishree Bankoti United States
EdwardD. Harris United States
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Áron Cseh Hungary
Anne Campbell United Kingdom
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Kun‐Bow Tsai relative to Xiao‐Ke Yang China Xiao‐Ke Yang's profile →
Citations per field
00.5×4.8×
Xiao‐Ke Yang · 1×
Citations per year

Countries citing papers authored by Kun‐Bow Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Bow Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Bow Tsai. 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 Kun‐Bow Tsai. The network helps show where Kun‐Bow Tsai may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun‐Bow Tsai, 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 Kun‐Bow Tsai Line = papers co-authored together Kun‐Bow Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200461
2 200843
3 200436
4 200431
5 201229
6 200721
7 200421
8 200718
9 200217
10 200616
11 200913
12 201213
13 200013
14 200512
15 200512
16 199712
17 200312
18 200812
19 200611
20 200810

About Kun‐Bow Tsai

Kun‐Bow Tsai is a scholar working on Surgery, Oncology, Pathology and Forensic Medicine, Neurology and Epidemiology, having authored 42 papers that have together received 530 indexed citations. Recurring topics across this work include Cancer and Skin Lesions (4 papers), Viral-associated cancers and disorders (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Ear and Head Tumors (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Nonmelanoma Skin Cancer Studies (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (43 citations), Dermatology (54 citations), Gastroenterology (22 citations), Oncology (102 citations) and Pathology and Forensic Medicine (65 citations). Kun‐Bow Tsai has collaborated with scholars based in Taiwan, Singapore and Japan. Frequent co-authors include Jinu‐Huang Su, Chee‐Yin Chai, Shyng‐Shiou F. Yuan, Yueh-Fang Chung, Shyi‐Jang Shin, Pi‐Jung Hsiao, Kung‐Kai Kuo, Yao‐Tsung Yeh, Te‐Fu Chan and Li‐Yu Tsai. Their work appears in journals such as Journal of Cutaneous Pathology, Acta Cytologica, The Kaohsiung Journal of Medical Sciences, Mycopathologia and Journal of Hepatology.

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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