Daoguo Zhou
Impact in
- Endocrinology top 0.2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Vibrio bacteria research studies 22
- Escherichia coli research studies 13
- Food Science 28
- Salmonella and Campylobacter epidemiology 28
- Co-authors
- Jorge E. GalánMark S. MoosekerJue ChenStephen B. ShearsLorraine D. HernandezLimei ChenWendy HigashideShipan Dai
- Journals
- Infection and Immunity (7 papers)Molecular Microbiology (6 papers)Journal of Bacteriology (4 papers)Cellular Microbiology (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daoguo Zhou
49 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 93
- Endocrinology 1.2k
- Food Science 1.2k
- Microbiology 242
- Molecular Medicine 142
- Biotechnology 242
Countries citing papers authored by Daoguo Zhou
This map shows the geographic impact of Daoguo Zhou'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 Daoguo Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoguo Zhou more than expected).
Fields of papers citing papers by Daoguo Zhou
This network shows the impact of papers produced by Daoguo Zhou. 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 Daoguo Zhou. The network helps show where Daoguo Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daoguo Zhou, 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 | 2025 | 0 | |
| 2 | 2018 | 12 | |
| 3 | 2017 | 26 | |
| 4 | 2017 | 16 | |
| 5 | 2013 | 40 | |
| 6 | 2011 | 41 | |
| 7 | 2010 | 84 | |
| 8 | 2010 | 6 | |
| 9 | 2010 | 59 | |
| 10 | 2010 | 63 | |
| 11 | 2007 | 41 | |
| 12 | 2007 | 24 | |
| 13 | 2007 | 93 | |
| 14 | 2006 | 61 | |
| 15 | 2005 | 49 | |
| 16 | 2002 | 51 | |
| 17 | 2001 | 245 | |
| 18 | 2000 | 17 | |
| 19 | 1999 | 137 | |
| 20 | 1996 | 75 |
About Daoguo Zhou
Daoguo Zhou is a scholar working on Endocrinology, Food Science, Biotechnology, Microbiology and Aging, having authored 50 papers that have together received 3.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (28 papers), Vibrio bacteria research studies (22 papers), Escherichia coli research studies (13 papers), Bacteriophages and microbial interactions (11 papers), Bacterial Genetics and Biotechnology (10 papers), Cancer Research and Treatments (4 papers), Bacterial Infections and Vaccines (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Endocrinology (1.2k citations), Food Science (1.2k citations), Microbiology (242 citations), Molecular Medicine (142 citations) and Biotechnology (242 citations). Daoguo Zhou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jorge E. Galán, Mark S. Mooseker, Jue Chen, Stephen B. Shears, Lorraine D. Hernandez, Jorge E. Galán, Limei Chen, Wendy Higashide, Shipan Dai and Wolf‐Dietrich Hardt. Their work appears in journals such as Infection and Immunity, Molecular Microbiology, Journal of Bacteriology, Cellular Microbiology and Journal of Biological Chemistry.
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.