Bin He
- Immunology top 2%
- interferon and immune responses 19
- Toxin Mechanisms and Immunotoxins 5
- Epidemiology top 1%
- Herpesvirus Infections and Treatments 36
- Genetics top 2%
- Virus-based gene therapy research 15
- Information Systems top 0.5%
- Web Data Mining and Analysis 13
- Virology top 5%
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- RNA regulation and disease 12
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- Semantic Web and Ontologies 6
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- Viral Infections and Vectors 5
- Co-authors
- Bernard RoizmanKevin Chen–Chuan ChangMartin GrossYijie MaGuofeng ChengNahid F. MivechiZhipeng YanJ Chou
- Cited by
- ImmunologyEpidemiologyGenetics
- Journals
- Journal of Virology (18 papers)Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Bin He
81 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Immunology 1.2k
- Epidemiology 1.8k
- Genetics 1.1k
- Information Systems 877
- Virology 146
Countries citing papers authored by Bin He
This map shows the geographic impact of Bin He'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 Bin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin He more than expected).
Fields of papers citing papers by Bin He
This network shows the impact of papers produced by Bin He. 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 Bin He. The network helps show where Bin He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 8 | |
| 3 | 2017 | 13 | |
| 4 | CBIA VT at TREC 2015 Clinical Decision Support Track - Exploring Relevance Feedback and Query Expansion in Biomedical Information Retrieval. | 2015 | 2 |
| 5 | 2015 | 16 | |
| 6 | 2014 | 43 | |
| 7 | 2013 | 18 | |
| 8 | 2012 | 62 | |
| 9 | 2011 | 84 | |
| 10 | 2011 | 92 | |
| 11 | 2008 | 160 | |
| 12 | 2008 | 34 | |
| 13 | Light-weight domain-based form assistant: querying web databases on the fly | 2005 | 38 |
| 14 | Toward large scale integration: Building a MetaQuerier over databases on the Web | 2005 | 120 |
| 15 | 2003 | 17 | |
| 16 | 2001 | 30 | |
| 17 | 2000 | 111 | |
| 18 | 1998 | 137 | |
| 19 | 1998 | 141 | |
| 20 | 1998 | 198 |
About Bin He
Bin He is a scholar working on Epidemiology, Immunology, Information Systems, Parasitology and Genetics, having authored 82 papers that have together received 5.0k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (36 papers), interferon and immune responses (19 papers), Virus-based gene therapy research (15 papers), Web Data Mining and Analysis (13 papers), RNA regulation and disease (12 papers), Semantic Web and Ontologies (6 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Immunology (1.2k citations), Epidemiology (1.8k citations), Genetics (1.1k citations), Information Systems (877 citations) and Virology (146 citations). Bin He has collaborated with scholars based in United States, China and France. Frequent co-authors include Bernard Roizman, Kevin Chen–Chuan Chang, Martin Gross, Yijie Ma, Guofeng Cheng, Nahid F. Mivechi, Zhipeng Yan, J Chou, Zhen Zhang and Youjia Cao. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Scientific Reports and Journal of General Virology.
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.