Fanching Lin

770 citations
15 papers · 498 · h-index 8

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2
    • Lung Cancer Research Studies 4

Fanching Lin

14 papers receiving 484 citations

Peers

Fanching Lin
Comparison fields: 5 of 81
  • Immunology 203
  • Hepatology 60
  • Hematology 58
  • Infectious Diseases 81
  • Oncology 96
Replace Sumedha Bagga with:
Sumedha Bagga United States
Maria Pokrovskii United States
Eóin C. O’Brien Ireland
Roanna Ueda United States
Mirela Kuka Italy
Carine Brinster France
Julia Benckert Germany
Thiago Carvalho Portugal
Verónica Athié-Morales Ireland
Zhi Q. Yao United States
Fanching Lin relative to Sumedha Bagga United States Sumedha Bagga's profile →
Citations per field
00.5×2×3.4×
Sumedha Bagga · 1×
Citations per year

Countries citing papers authored by Fanching Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fanching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014203
2 201495
3 201487
4 202433
5 201331
6 202314
7 201312
8 200810
9 20065
10 20243
11 20082
12 20231
13 20231
14 20241
15 20240

About Fanching Lin

Fanching Lin is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Virology and Epidemiology, having authored 15 papers that have together received 498 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (6 papers), Immune Cell Function and Interaction (5 papers), Lung Cancer Research Studies (4 papers), Immunotherapy and Immune Responses (3 papers), HIV Research and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), T-cell and B-cell Immunology (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Immunology (203 citations), Hepatology (60 citations), Hematology (58 citations), Infectious Diseases (81 citations) and Oncology (96 citations). Fanching Lin has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Howard A. Young, Deborah L. Hodge, Jonathan R. Keller, Kimberly Boelte, Megan Karwan, Tim Hon Man Chan, Vincenzo Coppola, Michael Sanford, John R. Ortaldo and Paul Schaughency. Their work appears in journals such as Cancer Research, Journal of Virology, Journal of Clinical Oncology, Journal of Nuclear Medicine and Molecular Cancer Therapeutics.

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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