Brian Li

977 citations
32 papers · 689 · h-index 11

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3
    • Aquaculture disease management and microbiota 2

Brian Li

31 papers receiving 680 citations

Peers

Brian Li
Comparison fields: 5 of 91
  • Orthopedics and Sports Medicine 91
  • Hematology 114
  • Immunology 177
  • Cell Biology 80
  • Cancer Research 62
Replace Masayuki Umeda with:
Masayuki Umeda United States
Jiří Eitler Germany
Matthias Kieslinger Germany
Lea Bornemann Germany
Hongju Deng United States
Matthias A. Vanderkerken Belgium
Julie Wong Canada
Arthur C. Huen United States
Kristin Fritsch Germany
Álvaro Gomariz Switzerland
Brian Li relative to Masayuki Umeda United States Masayuki Umeda's profile →
Citations per field
00.5×2×3×3.9×
Masayuki Umeda · 1×
Citations per year

Countries citing papers authored by Brian Li

Since Specialization
Citations

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

Fields of papers citing papers by Brian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014145
2 2003109
3 201777
4 201967
5 201748
6 201841
7 201739
8 201731
9 201816
10 202113
11 202112
12 202111
13 202011
14 202310
15 20169
16 20108
17
What makes a Tree a Straight Skeleton
20126
18 20206
19 20135
20 19904

About Brian Li

Brian Li is a scholar working on Hematology, Immunology, Cell Biology, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 32 papers that have together received 689 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Zebrafish Biomedical Research Applications (6 papers), T-cell and B-cell Immunology (5 papers), Computational Geometry and Mesh Generation (3 papers), Advanced Graph Theory Research (3 papers), Immune Cell Function and Interaction (3 papers), Pluripotent Stem Cells Research (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (91 citations), Hematology (114 citations), Immunology (177 citations), Cell Biology (80 citations) and Cancer Research (62 citations). Brian Li has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Rong Lu, Samson Koelle, Chuanfeng Wu, Cynthia E. Dunbar, Robert E. Donahue, Michael T. C. Ying, Winnie W. Li, Diego A. Espinoza, Irving L. Weissman and Mark E. Metzger. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Visualized Experiments, Blood, Tropical Medicine and Infectious Disease and Journal of Clinical Gastroenterology.

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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