Zonghui Hu
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- Viral Infections and Vectors
Papers in
-
- Advanced Causal Inference Techniques 10
- Statistical Methods and Inference 8
- Statistical Methods in Clinical Trials 6
- Statistical Methods and Bayesian Inference 6
- Virology 7
- HIV Research and Treatment 7
- Co-authors
- Michael C. Sneller (4 shared papers)Carol A. Langford (1 shared paper)Mary E. Enama (7 shared papers)Julie E. Ledgerwood (7 shared papers)Robert T. Bailer (6 shared papers)Richard A. Koup (6 shared papers)John R. Mascola (6 shared papers)Barney S. Graham (6 shared papers)
- Journals
- Statistics in Medicine (7 papers)AIDS (4 papers)PLoS ONE (3 papers)Blood (2 papers)Contemporary Clinical Trials (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Zonghui Hu
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 135
- Virology 202
- Infectious Diseases 379
- Hepatology 150
- Immunology 377
- Epidemiology 394
Countries citing papers authored by Zonghui Hu
This map shows the geographic impact of Zonghui Hu'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 Zonghui Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zonghui Hu more than expected).
Fields of papers citing papers by Zonghui Hu
This network shows the impact of papers produced by Zonghui Hu. 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 Zonghui Hu. The network helps show where Zonghui Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zonghui Hu, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 209 | |
| 2 | 2011 | 177 | |
| 3 | 2011 | 157 | |
| 4 | 2019 | 139 | |
| 5 | 2008 | 106 | |
| 6 | 2013 | 97 | |
| 7 | 2020 | 62 | |
| 8 | 2011 | 44 | |
| 9 | 2011 | 39 | |
| 10 | 2009 | 37 | |
| 11 | 2016 | 37 | |
| 12 | 2013 | 35 | |
| 13 | 2012 | 35 | |
| 14 | 2012 | 32 | |
| 15 | 2009 | 31 | |
| 16 | 2023 | 30 | |
| 17 | 2020 | 28 | |
| 18 | 2015 | 27 | |
| 19 | 2014 | 25 | |
| 20 | 2015 | 23 |
About Zonghui Hu
Zonghui Hu is a scholar working on Statistics and Probability, Virology, Immunology, Epidemiology and Hepatology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (10 papers), Statistical Methods and Inference (8 papers), HIV Research and Treatment (7 papers), Influenza Virus Research Studies (6 papers), Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Bayesian Inference (6 papers), Hepatitis B Virus Studies (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Virology (202 citations), Infectious Diseases (379 citations), Hepatology (150 citations), Immunology (377 citations) and Epidemiology (394 citations). Zonghui Hu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Michael C. Sneller, Carol A. Langford, Mary E. Enama, Julie E. Ledgerwood, Robert T. Bailer, Richard A. Koup, John R. Mascola, Barney S. Graham, Gary J. Nabel and Dean A. Follmann. Their work appears in journals such as Statistics in Medicine, AIDS, PLoS ONE, Blood and Contemporary Clinical Trials.
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.