Yun-Lu Lin

588 citations
5 papers · 506 · h-index 5

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Influenza Virus Research Studies 3

Yun-Lu Lin

5 papers receiving 437 citations

Peers

Yun-Lu Lin
Comparison fields: 5 of 57
  • Immunology 359
  • Virology 60
  • Epidemiology 237
  • Radiology, Nuclear Medicine and Imaging 73
  • Infectious Diseases 56
Replace W E Rawls with:
W E Rawls Canada
M B Dunlop Australia
Jody Manischewitz United States
Christina Barnfield Sweden
Andrew G. Cawthon United States
Gretchen L. Eiben United States
Arwen F. Altenburg Netherlands
Marianne Gibson United States
J. Kiss Hungary
C J Heilman United States
Yun-Lu Lin relative to W E Rawls Canada W E Rawls's profile →
Citations per field
00.5×1.5×2.5×
W E Rawls · 1×
Citations per year

Countries citing papers authored by Yun-Lu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Lu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Yun-Lu 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 Yun-Lu Lin Line = papers co-authored together Yun-Lu Lin links everyone, so they are left out of the graph.

All Works

About Yun-Lu Lin

Yun-Lu Lin is a scholar working on Immunology, Epidemiology, Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 506 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Influenza Virus Research Studies (3 papers), T-cell and B-cell Immunology (3 papers), Nuclear Receptors and Signaling (1 paper), Diabetes and associated disorders (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Retinoids in leukemia and cellular processes (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Immunology (359 citations), Virology (60 citations), Epidemiology (237 citations), Radiology, Nuclear Medicine and Imaging (73 citations) and Infectious Diseases (56 citations). Yun-Lu Lin has collaborated with scholars based in Tanzania, Taiwan and United Kingdom. Frequent co-authors include B A Askonas, Alan Morris, Brigitte A. Askonas, Kathleen E. Sullivan, C J Hackett, Yahui Wang and Han‐Jung Lee. Their work appears in journals such as Biochemical and Biophysical Research Communications, Immunogenetics, Cellular Immunology, Nature and The Journal of Experimental Medicine.

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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