Seh‐Ching Lin

482 citations
16 papers · 374 indexed · h-index 11

Impact in

Papers in

Seh‐Ching Lin

16 papers receiving 361 citations

Peers

Seh‐Ching Lin
Comparison fields: 5 of 65
  • Parasitology 47
  • Pathology and Forensic Medicine 88
  • Infectious Diseases 78
  • Hepatology 30
  • Animal Science and Zoology 29
Replace Robert McMaster with:
Robert McMaster Canada
Jean‐Paul Coutelier Belgium
M W Nickells United States
K Hioki Japan
Yi‐chi M. Kong United States
Hongyi Pan United States
Nicolas Ruffin Sweden
Koji Uraushihara Japan
Jon A. Green United States
Seh‐Ching Lin relative to Robert McMaster Canada Robert McMaster's profile →
Citations per field
00.5×5.2×
Robert McMaster · 1×
Citations per year

Countries citing papers authored by Seh‐Ching Lin

Since Specialization
Citations

This map shows the geographic impact of Seh‐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 Seh‐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 Seh‐Ching Lin more than expected).

Fields of papers citing papers by Seh‐Ching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20211
2 20147
3 201424
4 201341
5
Expression of recombinant antigenic proteins from Angiostrongylus cantonensis: a brief report.
201312
6 201275
7 201155
8 201132
9 20099
10 200731
11 200735
12 20041
13 200318
14 199512
15 19942
16 199319

About Seh‐Ching Lin

Seh‐Ching Lin is a scholar working on Parasitology, Pathology and Forensic Medicine, Hepatology, Infectious Diseases and Small Animals, having authored 16 papers that have together received 374 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Respiratory viral infections research (3 papers), Viral-associated cancers and disorders (3 papers), Parasitic infections in humans and animals (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Influenza Virus Research Studies (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Parasitology (47 citations), Pathology and Forensic Medicine (88 citations), Infectious Diseases (78 citations), Hepatology (30 citations) and Animal Science and Zoology (29 citations). Seh‐Ching Lin has collaborated with scholars based in United States, Italy and Peru. Frequent co-authors include Ganesh Kolumam, Daniel Kirchhofer, Kathy Hancock, Victor C. W. Tsang, Verónica Costantini, João R. Mesquita, María Säo José Nascimento, Jennifer L. Cannon, Jan Vinjé and Ming-Hong Xie. Their work appears in journals such as In Vitro Cellular & Developmental Biology - Animal, Molecular Cancer Research, Journal of Biological Chemistry, Virology Journal and Journal of Medical Virology.

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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