Hejun Liu
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- COVID-19 Clinical Research Studies 6
- Viral gastroenteritis research and epidemiology 3
-
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 3
- vaccines and immunoinformatics approaches 3
- Co-authors
- Ian A. Wilson (13 shared papers)Meng Yuan (11 shared papers)Nicholas C. Wu (9 shared papers)Chang‐Chun D. Lee (6 shared papers)Xueyong Zhu (5 shared papers)Dennis R. Burton (4 shared papers)Deli Huang (4 shared papers)Rogier W. Sanders (5 shared papers)
- Journals
- Cell Reports (4 papers)Cell Host & Microbe (3 papers)Science (2 papers)ChemNanoMat (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Hejun Liu
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 901
- Animal Science and Zoology 188
- Radiology, Nuclear Medicine and Imaging 249
- Immunology 167
- Molecular Biology 420
Countries citing papers authored by Hejun Liu
This map shows the geographic impact of Hejun Liu'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 Hejun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hejun Liu more than expected).
Fields of papers citing papers by Hejun Liu
This network shows the impact of papers produced by Hejun Liu. 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 Hejun Liu. The network helps show where Hejun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hejun Liu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 305 | |
| 2 | 2021 | 198 | |
| 3 | 2020 | 116 | |
| 4 | 2020 | 102 | |
| 5 | 2020 | 95 | |
| 6 | 2019 | 57 | |
| 7 | 2007 | 46 | |
| 8 | 2021 | 37 | |
| 9 | 2021 | 31 | |
| 10 | 2022 | 26 | |
| 11 | 2022 | 25 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2018 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2013 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2014 | 12 | |
| 20 | 2023 | 12 |
About Hejun Liu
Hejun Liu is a scholar working on Infectious Diseases, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Animal Science and Zoology and Immunology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Ubiquitin and proteasome pathways (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Virus Infections Studies (3 papers), Genomics and Chromatin Dynamics (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Infectious Diseases (901 citations), Animal Science and Zoology (188 citations), Radiology, Nuclear Medicine and Imaging (249 citations), Immunology (167 citations) and Molecular Biology (420 citations). Hejun Liu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ian A. Wilson, Meng Yuan, Nicholas C. Wu, Chang‐Chun D. Lee, Xueyong Zhu, Dennis R. Burton, Deli Huang, Rogier W. Sanders, Marit J. van Gils and Andrew B. Ward. Their work appears in journals such as Cell Reports, Cell Host & Microbe, Science, ChemNanoMat and Communications 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.