Gene Lin

608 citations
9 papers · 478 · h-index 6

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 5
    • Macrophage Migration Inhibitory Factor 1
    • Adenosine and Purinergic Signaling 4
    • Erythrocyte Function and Pathophysiology 1

Gene Lin

9 papers receiving 474 citations

Peers

Gene Lin
Comparison fields: 5 of 53
  • Physiology 156
  • Immunology 218
  • Genetics 93
  • Hematology 78
  • Oncology 140
Replace Andrea Zito with:
Andrea Zito Italy
Manasa Madasu United States
Ligen Liu China
U Schmücker Germany
I Montalban del Barrio Germany
Carola E. Matus Chile
Dimitrios Alatzoglou United States
Christoph Klaus Austria
Olga Grzybowska‐Izydorczyk Poland
Tomasz Burakowski Poland
Gene Lin relative to Andrea Zito Italy Andrea Zito's profile →
Citations per field
00.5×3.2×
Andrea Zito · 1×
Citations per year

Countries citing papers authored by Gene Lin

Since Specialization
Citations

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

Fields of papers citing papers by Gene Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017308
2 201372
3 201737
4 201323
5 201816
6 201715
7
Sickle cell disease (SCD), iNKT cells, and regadenoson infusion.
20125
8 20091
9 20091

About Gene Lin

Gene Lin is a scholar working on Immunology, Physiology, Infectious Diseases, Genetics and Molecular Biology, having authored 9 papers that have together received 478 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Adenosine and Purinergic Signaling (4 papers), Hemoglobinopathies and Related Disorders (2 papers), Parvovirus B19 Infection Studies (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Macrophage Migration Inhibitory Factor (1 paper), Infection Control and Ventilation (1 paper) and Aviation Industry Analysis and Trends (1 paper). The work is most often cited by research in Physiology (156 citations), Immunology (218 citations), Genetics (93 citations), Hematology (78 citations) and Oncology (140 citations). Gene Lin has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Joel Linden, Ann‐Marie Patch, Nicola Waddell, Meriem Messaoudene, Mark J. Smyth, Laurence Zitvogel, Shin Foong Ngiow, Deborah S. Barkauskas, Jérôme D. Coudert and Kimberley Stannard. Their work appears in journals such as European Journal of Immunology, JCI Insight, PLoS ONE, Blood and Cancer Research.

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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