Hojun Li
Impact in
- Hematology top 5%
- Hemophilia Treatment and Research
- Autoimmune and Inflammatory Disorders Research
- Genetics top 5%
- Virus-based gene therapy research
Papers in
- Hematology 16
- Hemophilia Treatment and Research 5
- Hematopoietic Stem Cell Transplantation 5
- Autoimmune and Inflammatory Disorders Research 4
- Erythropoietin and Anemia Treatment 1
- Acute Myeloid Leukemia Research 1
- Genetics 7
- Virus-based gene therapy research 5
- Co-authors
- Katherine A. High (8 shared papers)Samuel L. Murphy (4 shared papers)Shangzhen Zhou (6 shared papers)Nirav Malani (2 shared papers)Frederic D. Bushman (2 shared papers)Philip D. Gregory (5 shared papers)Yannick Doyon (5 shared papers)Virginia Haurigot (5 shared papers)
- Journals
- Blood (6 papers)Blood Advances (2 papers)Leukemia (1 paper)Nature Methods (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Hojun Li
28 papers receiving 1.6k citations
Hojun Li's Hit Papers
Peers
Comparison fields: 5 of 84
- Hematology 308
- Genetics 491
- Biomaterials 154
- Molecular Biology 528
- Immunology 79
Countries citing papers authored by Hojun Li
This map shows the geographic impact of Hojun 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 Hojun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hojun Li more than expected).
Fields of papers citing papers by Hojun Li
This network shows the impact of papers produced by Hojun 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 Hojun Li. The network helps show where Hojun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hojun 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In vivo genome editing restores haemostasis in a mouse model of haemophilia Hit paper breakdown → | 2011 | 463 |
| 2 | 2010 | 205 | |
| 3 | 2022 | 170 | |
| 4 | 2013 | 150 | |
| 5 | 2017 | 140 | |
| 6 | 2003 | 105 | |
| 7 | 2008 | 88 | |
| 8 | 2019 | 67 | |
| 9 | 2007 | 54 | |
| 10 | 2018 | 32 | |
| 11 | 2019 | 28 | |
| 12 | 2018 | 26 | |
| 13 | 2019 | 23 | |
| 14 | 2024 | 20 | |
| 15 | 2023 | 15 | |
| 16 | 2018 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2017 | 3 |
About Hojun Li
Hojun Li is a scholar working on Hematology, Genetics, Rheumatology, Aging and Biochemistry, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (5 papers), Virus-based gene therapy research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Folate and B Vitamins Research (2 papers), Erythropoietin and Anemia Treatment (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (308 citations), Genetics (491 citations), Biomaterials (154 citations), Molecular Biology (528 citations) and Immunology (79 citations). Hojun Li has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Katherine A. High, Samuel L. Murphy, Shangzhen Zhou, Nirav Malani, Frederic D. Bushman, Philip D. Gregory, Yannick Doyon, Virginia Haurigot, Sunnie Wong and Xavier M. Anguela. Their work appears in journals such as Blood, Blood Advances, Leukemia, Nature Methods and Science Advances.
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.