Pei-Ching Lin

853 citations
22 papers · 670 · h-index 17

Impact in

Papers in

Pei-Ching Lin

22 papers receiving 663 citations

Peers

Pei-Ching Lin
Comparison fields: 5 of 67
  • Cancer Research 203
  • Pathology and Forensic Medicine 172
  • Oncology 260
  • Molecular Biology 251
  • Clinical Biochemistry 23
Replace Eirini Papadopoulou with:
Eirini Papadopoulou Greece
Kin F. Cheung Hong Kong
Szabolcs Ottó Hungary
K.M. Tveit Norway
Haitham Arabi United States
Stacey Shiovitz United States
Veronica Mason United States
Ruixuan Geng China
Janusz Menkiszak Poland
Roland Frösing Sweden
Pei-Ching Lin relative to Eirini Papadopoulou Greece Eirini Papadopoulou's profile →
Citations per field
00.5×3.3×
Eirini Papadopoulou · 1×
Citations per year

Countries citing papers authored by Pei-Ching Lin

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Ching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200869
2 200954
3 201453
4 201251
5 201445
6 201641
7 201640
8 201537
9 200637
10 200936
11 201933
12 201027
13 201526
14 202120
15 201920
16 201716
17 202116
18 202013
19 201712
20 201310

About Pei-Ching Lin

Pei-Ching Lin is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Rheumatology, having authored 22 papers that have together received 670 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Folate and B Vitamins Research (1 paper), Viral-associated cancers and disorders (1 paper), Epigenetics and DNA Methylation (1 paper), Immunotherapy and Immune Responses (1 paper), vaccines and immunoinformatics approaches (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cancer Research (203 citations), Pathology and Forensic Medicine (172 citations), Oncology (260 citations), Molecular Biology (251 citations) and Clinical Biochemistry (23 citations). Pei-Ching Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shih‐Ching Chang, Jen-Kou Lin, Shung-Haur Yang, Huann-Sheng Wang, Wei-Shone Chen, Jeng‐Kai Jiang, Anna Fen–Yau Li, Hung‐Hsin Lin, Chien-Hsing Lin and Yuan‐Tzu Lan. Their work appears in journals such as International Journal of Colorectal Disease, Annals of Surgical Oncology, Cancers, The International Journal of Biological Markers and Surgery.

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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