Seh‐Ching Lin

16 papers receiving 378 citations

Peers

Seh‐Ching Lin
Comparison fields: 5 of 65
  • Parasitology 42
  • Pathology and Forensic Medicine 93
  • Hepatology 32
  • Infectious Diseases 72
  • Animal Science and Zoology 30
Replace Jon A. Green with:
Jon A. Green United States
K Hioki Japan
Robert McMaster Canada
Richard A. Brigandi United States
Claudia Zannetti France
Sarmistha Bandyopadhyay United States
Sandrine Cabantous France
Koji Uraushihara Japan
Ikuo Kikuchi Japan
Seh‐Ching Lin relative to Jon A. Green United States Jon A. Green's profile →
Citations per field
00.5×5×10×14×
Jon A. Green · 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-authors

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 201279
2 201156
3 201344
4 200738
5 201136
6 200733
7 201424
8 199319
9 200318
10
Expression of recombinant antigenic proteins from Angiostrongylus cantonensis: a brief report.
201313
11 199512
12 20099
13 20147
14 19942
15 20211
16 20041

About Seh‐Ching Lin

Seh‐Ching Lin is a scholar working on Pathology and Forensic Medicine, Infectious Diseases, Parasitology, Molecular Biology and Oncology, having authored 16 papers that have together received 392 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Respiratory viral infections research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral-associated cancers and disorders (3 papers), Parasitic infections in humans and animals (3 papers), Viral Infections and Immunology Research (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Parasitology (42 citations), Pathology and Forensic Medicine (93 citations), Hepatology (32 citations), Infectious Diseases (72 citations) and Animal Science and Zoology (30 citations). Seh‐Ching Lin has collaborated with scholars based in United States, Uganda and Italy. Frequent co-authors include Daniel Kirchhofer, Ganesh Kolumam, Victor C. W. Tsang, Kathy Hancock, Verónica Costantini, Jennifer L. Cannon, María Säo José Nascimento, Min Z. Levine, Jan Vinjé and João R. Mesquita. Their work appears in journals such as In Vitro Cellular & Developmental Biology - Animal, Journal of Parasitology, Clinical and Vaccine Immunology, Virology Journal and Journal of Immunological Methods.

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.

Explore authors with similar magnitude of impact