Jianjun Dai
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 36
- Vibrio bacteria research studies 11
- Co-authors
- Fang Tang (42 shared papers)Jianluan Ren (36 shared papers)Yanmin Ju (25 shared papers)Xiangkai Zhuge (24 shared papers)Caifeng Wu (26 shared papers)Shushan Zhang (21 shared papers)Defu Zhang (20 shared papers)Shaohui Wang (12 shared papers)
- Journals
- Animals (7 papers)Veterinary Research (7 papers)Veterinary Microbiology (5 papers)Transboundary and Emerging Diseases (5 papers)Analytical Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Jianjun Dai
163 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 130
- Endocrinology 615
- Molecular Medicine 356
- Reproductive Medicine 305
- Microbiology 189
- Food Science 355
Countries citing papers authored by Jianjun Dai
This map shows the geographic impact of Jianjun Dai'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 Jianjun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Dai more than expected).
Fields of papers citing papers by Jianjun Dai
This network shows the impact of papers produced by Jianjun Dai. 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 Jianjun Dai. The network helps show where Jianjun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianjun Dai, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 102 | |
| 2 | 2015 | 101 | |
| 3 | 2020 | 95 | |
| 4 | 2022 | 84 | |
| 5 | 2010 | 78 | |
| 6 | 2023 | 77 | |
| 7 | 2022 | 76 | |
| 8 | 2014 | 72 | |
| 9 | 2018 | 50 | |
| 10 | 2023 | 47 | |
| 11 | 2023 | 46 | |
| 12 | 2018 | 46 | |
| 13 | 2020 | 45 | |
| 14 | 2020 | 41 | |
| 15 | 2014 | 40 | |
| 16 | 2020 | 40 | |
| 17 | 2021 | 39 | |
| 18 | 2023 | 36 | |
| 19 | 2022 | 35 | |
| 20 | 2014 | 35 |
About Jianjun Dai
Jianjun Dai is a scholar working on Molecular Biology, Endocrinology, Public Health, Environmental and Occupational Health, Biomedical Engineering and Genetics, having authored 171 papers that have together received 3.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (36 papers), Reproductive Biology and Fertility (28 papers), Bacteriophages and microbial interactions (15 papers), Biosensors and Analytical Detection (14 papers), Antibiotic Resistance in Bacteria (14 papers), Salmonella and Campylobacter epidemiology (14 papers), Sperm and Testicular Function (13 papers) and Vibrio bacteria research studies (11 papers). The work is most often cited by research in Endocrinology (615 citations), Molecular Medicine (356 citations), Reproductive Medicine (305 citations), Microbiology (189 citations) and Food Science (355 citations). Jianjun Dai has collaborated with scholars based in China, United States and France. Frequent co-authors include Fang Tang, Jianluan Ren, Yanmin Ju, Xiangkai Zhuge, Caifeng Wu, Shushan Zhang, Defu Zhang, Shaohui Wang, Lingwei Sun and Wanchao Zuo. Their work appears in journals such as Animals, Veterinary Research, Veterinary Microbiology, Transboundary and Emerging Diseases and Analytical 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.