Hojun Li
Impact in
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 3
- RNA Interference and Gene Delivery 2
- Genetics 9
- Virus-based gene therapy research 8
- 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)Xavier M. Anguela (5 shared papers)Virginia Haurigot (5 shared papers)Rajiv P. Sharma (5 shared papers)
- Journals
- Blood (7 papers)Blood Advances (2 papers)Developmental Cell (1 paper)GeroScience (1 paper)Nature Reviews Molecular Cell Biology (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Hojun Li
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Genetics 581
- Business and International Management 41
- Hematology 145
- Molecular Biology 930
- Aging 17
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 413 | |
| 2 | 2010 | 191 | |
| 3 | 2022 | 145 | |
| 4 | 2017 | 132 | |
| 5 | 2013 | 132 | |
| 6 | 2003 | 99 | |
| 7 | 2008 | 83 | |
| 8 | 2007 | 52 | |
| 9 | 2019 | 52 | |
| 10 | 2019 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 7 | |
| 16 | 2017 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2010 | 2 | |
| 20 | 2012 | 2 |
About Hojun Li
Hojun Li is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Physiology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (6 papers), Immune Cell Function and Interaction (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), RNA modifications and cancer (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (581 citations), Business and International Management (41 citations), Hematology (145 citations), Molecular Biology (930 citations) and Aging (17 citations). Hojun Li has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Katherine A. High, Samuel L. Murphy, Shangzhen Zhou, Nirav Malani, Frederic D. Bushman, Xavier M. Anguela, Virginia Haurigot, Rajiv P. Sharma, Sunnie Wong and Yannick Doyon. Their work appears in journals such as Blood, Blood Advances, Developmental Cell, GeroScience and Nature Reviews Molecular Cell Biology.
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.