Dan Gu
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 18
- Immunology 16
- Aquaculture disease management and microbiota 13
- Immune Response and Inflammation 3
- Co-authors
- Hongmei Meng (4 shared papers)Qiyao Wang (8 shared papers)Xiaohui Zhou (8 shared papers)Yang Li (1 shared paper)Lingzhi Li (1 shared paper)Xinan Jiao (19 shared papers)Jeffrey Leung (1 shared paper)Sylvain Merlot (1 shared paper)
- Journals
- Microbiological Research (5 papers)Pathogens (2 papers)Archives of Microbiology (2 papers)Frontiers in Microbiology (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesMaldives
In The Last Decade
Dan Gu
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Endocrinology 494
- Molecular Medicine 103
- Immunology 329
- Food Science 184
- Plant Science 375
Countries citing papers authored by Dan Gu
This map shows the geographic impact of Dan Gu'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 Dan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Gu more than expected).
Fields of papers citing papers by Dan Gu
This network shows the impact of papers produced by Dan Gu. 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 Dan Gu. The network helps show where Dan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Gu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 340 | |
| 2 | 2019 | 197 | |
| 3 | 2016 | 62 | |
| 4 | 2018 | 56 | |
| 5 | 2020 | 41 | |
| 6 | 2011 | 39 | |
| 7 | 2016 | 39 | |
| 8 | 2020 | 37 | |
| 9 | 2020 | 33 | |
| 10 | 2019 | 30 | |
| 11 | 2020 | 29 | |
| 12 | 2014 | 28 | |
| 13 | 2021 | 24 | |
| 14 | 2011 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2021 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2020 | 18 |
About Dan Gu
Dan Gu is a scholar working on Endocrinology, Immunology, Molecular Biology, Ecology and Food Science, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (18 papers), Aquaculture disease management and microbiota (13 papers), Salmonella and Campylobacter epidemiology (11 papers), Bacteriophages and microbial interactions (10 papers), Bacterial Genetics and Biotechnology (8 papers), Bacterial biofilms and quorum sensing (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Endocrinology (494 citations), Molecular Medicine (103 citations), Immunology (329 citations), Food Science (184 citations) and Plant Science (375 citations). Dan Gu has collaborated with scholars based in China, United States and Maldives. Frequent co-authors include Hongmei Meng, Qiyao Wang, Xiaohui Zhou, Yang Li, Lingzhi Li, Xinan Jiao, Jeffrey Leung, Sylvain Merlot, Caroline Sirichandra and Heng-Cheng Hu. Their work appears in journals such as Microbiological Research, Pathogens, Archives of Microbiology, Frontiers in Microbiology 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.