Hejun Liu
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 28
- Co-authors
- Ian A. Wilson (13 shared papers)Meng Yuan (11 shared papers)Nicholas C. Wu (9 shared papers)Xueyong Zhu (5 shared papers)Chang-Chun David Lee (6 shared papers)Dennis R. Burton (4 shared papers)Deli Huang (4 shared papers)Rogier W. Sanders (5 shared papers)
- Journals
- Cell Reports (6 papers)Cell Host & Microbe (3 papers)Science (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Hejun Liu
47 papers receiving 2.8k citations
Hejun Liu's Hit Papers
Peers
Comparison fields: 5 of 86
- Infectious Diseases 2.1k
- Radiology, Nuclear Medicine and Imaging 189
- Animal Science and Zoology 53
- Immunology 101
- Neurology 68
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 466 | |
| 2 | Structure-guided multivalent nanobodies block SARS-CoV-2 infection and suppress mutational escape Hit paper breakdown → | 2021 | 316 |
| 3 | 2020 | 285 | |
| 4 | 2021 | 281 | |
| 5 | 2020 | 161 | |
| 6 | 2020 | 154 | |
| 7 | 2020 | 133 | |
| 8 | Broadly neutralizing anti-S2 antibodies protect against all three human betacoronaviruses that cause deadly disease Hit paper breakdown → | 2023 | 104 |
| 9 | 2021 | 94 | |
| 10 | 2022 | 58 | |
| 11 | 2019 | 57 | |
| 12 | 2021 | 52 | |
| 13 | 2007 | 49 | |
| 14 | 2022 | 44 | |
| 15 | 2021 | 43 | |
| 16 | 2021 | 37 | |
| 17 | 2022 | 32 | |
| 18 | 2022 | 32 | |
| 19 | 2022 | 28 | |
| 20 | 2023 | 28 |
About Hejun Liu
Hejun Liu is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Immunology, Materials Chemistry and Parasitology, having authored 48 papers that have together received 2.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (28 papers), Enzyme Structure and Function (3 papers), Protein Degradation and Inhibitors (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic Associations and Epidemiology (2 papers), interferon and immune responses (2 papers), Synthesis and biological activity (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Radiology, Nuclear Medicine and Imaging (189 citations), Animal Science and Zoology (53 citations), Immunology (101 citations) and Neurology (68 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, Xueyong Zhu, Chang-Chun David Lee, 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, Proceedings of the National Academy of Sciences and Nature Communications.
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.