Li Lynn Tan

43 total papers · 1.0k total citations
17 papers, 368 citations indexed

About

Li Lynn Tan is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Li Lynn Tan has authored 17 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Li Lynn Tan's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Li Lynn Tan is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Li Lynn Tan collaborates with scholars based in Australia, United Kingdom and United States. Li Lynn Tan's co-authors include Stéphanie Gras, Jamie Rossjohn, D. Branch Moody, Ildiko Van Rhijn, Mugdha Bhati, Colin J. Jackson, Tan‐Yun Cheng, Anne Kasmar, Laurent Gapin and Hanim Halim and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Li Lynn Tan

17 papers receiving 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li Lynn Tan 204 77 42 40 39 17 368
Natalie E. Stevens 95 0.5× 117 1.5× 27 0.6× 27 0.7× 31 0.8× 18 439
Hiroyuki Kayamuro 196 1.0× 108 1.4× 38 0.9× 12 0.3× 30 0.8× 18 426
Pierre V. Candelaria 62 0.3× 144 1.9× 28 0.7× 74 1.9× 37 0.9× 21 434
Carine M. Gonçalves 160 0.8× 88 1.1× 25 0.6× 61 1.5× 26 0.7× 12 360
Vanessa Neuhaus 88 0.4× 92 1.2× 17 0.4× 36 0.9× 40 1.0× 20 379
Christine McBeth 141 0.7× 96 1.2× 11 0.3× 52 1.3× 42 1.1× 14 433
Jae‐A Han 158 0.8× 155 2.0× 26 0.6× 33 0.8× 27 0.7× 12 352
Hirohito Abo 177 0.9× 136 1.8× 6 0.1× 55 1.4× 29 0.7× 20 351
Jie Chen 91 0.4× 111 1.4× 25 0.6× 163 4.1× 19 0.5× 22 376
John L. Lundblad 114 0.6× 111 1.4× 6 0.1× 24 0.6× 24 0.6× 23 385

Countries citing papers authored by Li Lynn Tan

Since Specialization
Citations

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

Fields of papers citing papers by Li Lynn Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Lynn Tan. 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 Li Lynn Tan. The network helps show where Li Lynn Tan may publish in the future.

Co-authorship network of co-authors of Li Lynn Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Lynn Tan. A scholar is included among the top collaborators of Li Lynn Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Lynn Tan. Li Lynn Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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