Dingren Bi
Impact in
- Microbiology top 2%
- Microbial infections and disease research
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
Papers in ⓘ
- Microbiology 26
- Microbial infections and disease research 26
- Co-authors
- Xiliang Wang (33 shared papers)Babacar Ngom (7 shared papers)Yancheng Guo (7 shared papers)Zili Li (27 shared papers)Yuncai Xiao (22 shared papers)Deshi Shi (13 shared papers)Sishun Hu (15 shared papers)Siyi Pan (6 shared papers)
- Journals
- Avian Pathology (4 papers)Analytical and Bioanalytical Chemistry (3 papers)Frontiers in Microbiology (3 papers)Frontiers in Cellular and Infection Microbiology (3 papers)Research in Veterinary Science (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dingren Bi
77 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Microbiology 280
- Animal Science and Zoology 289
- Infectious Diseases 278
- Food Science 237
- Molecular Biology 833
Countries citing papers authored by Dingren Bi
This map shows the geographic impact of Dingren Bi'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 Dingren Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingren Bi more than expected).
Fields of papers citing papers by Dingren Bi
This network shows the impact of papers produced by Dingren Bi. 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 Dingren Bi. The network helps show where Dingren Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingren Bi, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 302 | |
| 2 | 2017 | 98 | |
| 3 | 2007 | 94 | |
| 4 | 2016 | 68 | |
| 5 | 2007 | 65 | |
| 6 | 2019 | 64 | |
| 7 | 2013 | 57 | |
| 8 | 2010 | 50 | |
| 9 | 2008 | 47 | |
| 10 | 2006 | 39 | |
| 11 | 2007 | 38 | |
| 12 | 2015 | 36 | |
| 13 | 2015 | 35 | |
| 14 | 2014 | 35 | |
| 15 | 2012 | 33 | |
| 16 | 2011 | 33 | |
| 17 | 2008 | 32 | |
| 18 | 2012 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2016 | 28 |
About Dingren Bi
Dingren Bi is a scholar working on Molecular Biology, Microbiology, Animal Science and Zoology, Immunology and Epidemiology, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial infections and disease research (26 papers), Aquaculture disease management and microbiota (13 papers), Animal Virus Infections Studies (10 papers), Biosensors and Analytical Detection (7 papers), Influenza Virus Research Studies (7 papers), Immune Response and Inflammation (6 papers), Bacteriophages and microbial interactions (5 papers) and Animal Disease Management and Epidemiology (5 papers). The work is most often cited by research in Microbiology (280 citations), Animal Science and Zoology (289 citations), Infectious Diseases (278 citations), Food Science (237 citations) and Molecular Biology (833 citations). Dingren Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiliang Wang, Babacar Ngom, Yancheng Guo, Zili Li, Yuncai Xiao, Deshi Shi, Sishun Hu, Siyi Pan, Hui Jin and Zutao Zhou. Their work appears in journals such as Avian Pathology, Analytical and Bioanalytical Chemistry, Frontiers in Microbiology, Frontiers in Cellular and Infection Microbiology and Research in Veterinary Science.
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.