Xiaohua He
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Biotechnology top 1%
- Transgenic Plants and Applications
Papers in
-
- Escherichia coli research studies 46
-
- Viral gastroenteritis research and epidemiology 39
- Clostridium difficile and Clostridium perfringens research 12
- Co-authors
- Thomas A. McKeon (21 shared papers)Gregory B. Martin (3 shared papers)Yongqiang Gu (4 shared papers)Grace Q. Chen (9 shared papers)Reuven Rasooly (21 shared papers)Stephanie Patfield (21 shared papers)Craig Skinner (13 shared papers)Stephanie McMahon (7 shared papers)
- Journals
- Toxins (20 papers)Journal of Agricultural and Food Chemistry (9 papers)PLoS ONE (8 papers)Journal of the American Oil Chemists Society (5 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Xiaohua He
148 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 129
- Endocrinology 729
- Biotechnology 355
- Biochemistry 290
- Microbiology 199
- Infectious Diseases 593
Countries citing papers authored by Xiaohua He
This map shows the geographic impact of Xiaohua 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 Xiaohua He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua He more than expected).
Fields of papers citing papers by Xiaohua He
This network shows the impact of papers produced by Xiaohua 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 Xiaohua He. The network helps show where Xiaohua He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohua 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
Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 337 | |
| 2 | 2017 | 154 | |
| 3 | 2015 | 127 | |
| 4 | 2004 | 104 | |
| 5 | 2019 | 90 | |
| 6 | 2004 | 87 | |
| 7 | 2018 | 81 | |
| 8 | 2019 | 74 | |
| 9 | 2002 | 73 | |
| 10 | 2009 | 61 | |
| 11 | 2012 | 58 | |
| 12 | 2007 | 57 | |
| 13 | 2014 | 50 | |
| 14 | 2007 | 50 | |
| 15 | 2020 | 48 | |
| 16 | 2010 | 48 | |
| 17 | 2019 | 47 | |
| 18 | 2014 | 45 | |
| 19 | 2010 | 40 | |
| 20 | 2010 | 39 |
About Xiaohua He
Xiaohua He is a scholar working on Endocrinology, Infectious Diseases, Immunology, Molecular Biology and Biotechnology, having authored 153 papers that have together received 3.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (46 papers), Viral gastroenteritis research and epidemiology (39 papers), Toxin Mechanisms and Immunotoxins (22 papers), Transgenic Plants and Applications (21 papers), Bacteriophages and microbial interactions (18 papers), Salmonella and Campylobacter epidemiology (14 papers), Clostridium difficile and Clostridium perfringens research (12 papers) and Lipid metabolism and biosynthesis (10 papers). The work is most often cited by research in Endocrinology (729 citations), Biotechnology (355 citations), Biochemistry (290 citations), Microbiology (199 citations) and Infectious Diseases (593 citations). Xiaohua He has collaborated with scholars based in United States, China and France. Frequent co-authors include Thomas A. McKeon, Gregory B. Martin, Yongqiang Gu, Grace Q. Chen, Reuven Rasooly, Stephanie Patfield, Craig Skinner, Stephanie McMahon, Yu Han and Suma Chakravarthy. Their work appears in journals such as Toxins, Journal of Agricultural and Food Chemistry, PLoS ONE, Journal of the American Oil Chemists Society and Scientific Reports.
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.