Ching-Nan Lin

31 papers receiving 454 citations

Peers

Ching-Nan Lin
Comparison fields: 5 of 67
  • Gastroenterology 39
  • Pathology and Forensic Medicine 125
  • Oncology 121
  • Toxicology 16
  • Dermatology 37
Replace Suguru Fukahori with:
Suguru Fukahori Japan
Antonio Di Cataldo Italy
Imke Ehlers Germany
Piotr Krokowicz Poland
Keiji Matsuda Japan
J Métayer France
Toshiki Kamano Japan
Alejandra Avagnina Argentina
Yasukazu Kawai Japan
Hiroyuki Hisai Japan
Ching-Nan Lin relative to Suguru Fukahori Japan Suguru Fukahori's profile →
Citations per field
00.5×2×4×6×8×9.3×
Suguru Fukahori · 1×
Citations per year

Countries citing papers authored by Ching-Nan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Nan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Nan Lin. 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 Ching-Nan Lin. The network helps show where Ching-Nan Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200054
2 200652
3 200839
4 200436
5 200629
6 200427
7 200426
8 200721
9 200318
10 200616
11 200716
12 200116
13 199913
14 200113
15
Multicentric plasma cell granuloma of spinal cord meninges.
199511
16 200511
17 201410
18 20078
19 20058
20 20057

About Ching-Nan Lin

Ching-Nan Lin is a scholar working on Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine, Surgery and Gastroenterology, having authored 32 papers that have together received 470 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Sarcoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (5 papers), Gastrointestinal disorders and treatments (3 papers), Vascular Tumors and Angiosarcomas (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Bone Tumor Diagnosis and Treatments (2 papers). The work is most often cited by research in Gastroenterology (39 citations), Pathology and Forensic Medicine (125 citations), Oncology (121 citations), Toxicology (16 citations) and Dermatology (37 citations). Ching-Nan Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shih-Sung Chuang, Chien-Feng L Li, Chin‐Yang Li, Jhi‐Joung Wang, Chin‐Chen Chu, Hsuan‐Ying Huang, Hock‐Liew Eng, Jann‐Inn Tzeng, Mao‐Tsun Lin and Ching‐Cherng Tzeng. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Journal of Biomedical Science, The American Journal of Chinese Medicine, European Journal of Pharmacology and Applied immunohistochemistry & molecular morphology.

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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