Brian Li
Impact in
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- Tendon Structure and Treatment
- Sports injuries and prevention
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
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- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
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- Pluripotent Stem Cells Research 2
- Co-authors
- Samson Koelle (4 shared papers)Cynthia E. Dunbar (4 shared papers)Chuanfeng Wu (4 shared papers)Michael Ying (1 shared paper)Robert E. Donahue (4 shared papers)Rong Lu (4 shared papers)Winnie Li (1 shared paper)Karin Loré (1 shared paper)
- Journals
- Blood (2 papers)The Journal of Experimental Medicine (2 papers)Journal of Visualized Experiments (2 papers)Cell stem cell (1 paper)Heart (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Brian Li
24 papers receiving 510 citations
Peers
Comparison fields: 5 of 78
- Orthopedics and Sports Medicine 90
- Hematology 89
- Immunology 161
- Cell Biology 60
- Genetics 30
Countries citing papers authored by Brian Li
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
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.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2003 | 108 | |
| 3 | 2019 | 62 | |
| 4 | 2017 | 38 | |
| 5 | 2018 | 37 | |
| 6 | 2017 | 35 | |
| 7 | 2017 | 26 | |
| 8 | 2018 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2010 | 8 | |
| 13 | What makes a Tree a Straight Skeleton | 2012 | 5 |
| 14 | 2013 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 1990 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2022 | 2 | |
| 20 | 2014 | 1 |
About Brian Li
Brian Li is a scholar working on Immunology, Molecular Biology, Hematology, Cell Biology and Computational Theory and Mathematics, having authored 27 papers that have together received 521 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Zebrafish Biomedical Research Applications (5 papers), Immune Cell Function and Interaction (3 papers), Computational Geometry and Mesh Generation (3 papers), Pluripotent Stem Cells Research (2 papers), Advanced Graph Theory Research (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (90 citations), Hematology (89 citations), Immunology (161 citations), Cell Biology (60 citations) and Genetics (30 citations). Brian Li has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Samson Koelle, Cynthia E. Dunbar, Chuanfeng Wu, Michael Ying, Robert E. Donahue, Rong Lu, Winnie Li, Karin Loré, Alexander Jares and Diego A. Espinoza. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Journal of Visualized Experiments, Cell stem cell and Heart.
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.