Hai Jiang
Impact in
- Small Animals top 1%
- Brucella: diagnosis, epidemiology, treatment
- Food Science top 10%
- Salmonella and Campylobacter epidemiology
- Animal Diversity and Health Studies
Papers in
-
- Brucella: diagnosis, epidemiology, treatment 14
- Food Science 11
- Salmonella and Campylobacter epidemiology 7
- Animal Diversity and Health Studies 4
- Co-authors
- David O’Callaghan (1 shared paper)Jinyi Zhang (1 shared paper)Chen Sun (1 shared paper)Dongri Piao (8 shared papers)Hongyan Zhao (6 shared papers)Buyun Cui (5 shared papers)Zhiguo Liu (3 shared papers)Dongdong Di (3 shared papers)
- Journals
- Infectious Diseases of Poverty (3 papers)BMC Microbiology (2 papers)BMC Infectious Diseases (2 papers)Genome (1 paper)China Economic Review (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Hai Jiang
16 papers receiving 337 citations
Peers
Comparison fields: 5 of 66
- Small Animals 253
- Food Science 145
- Finance 50
- Epidemiology 152
- Endocrinology 16
Countries citing papers authored by Hai Jiang
This map shows the geographic impact of Hai Jiang'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 Hai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Jiang more than expected).
Fields of papers citing papers by Hai Jiang
This network shows the impact of papers produced by Hai Jiang. 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 Hai Jiang. The network helps show where Hai Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Jiang, 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 | 2020 | 65 | |
| 2 | 2019 | 55 | |
| 3 | 2017 | 41 | |
| 4 | 2018 | 37 | |
| 5 | 2013 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2021 | 6 | |
| 13 | 2010 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 |
About Hai Jiang
Hai Jiang is a scholar working on Small Animals, Food Science, Epidemiology, Finance and Economics and Econometrics, having authored 17 papers that have together received 343 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (14 papers), Burkholderia infections and melioidosis (10 papers), Salmonella and Campylobacter epidemiology (7 papers), Animal Diversity and Health Studies (4 papers), Monetary Policy and Economic Impact (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Peripheral Neuropathies and Disorders (1 paper) and Housing Market and Economics (1 paper). The work is most often cited by research in Small Animals (253 citations), Food Science (145 citations), Finance (50 citations), Epidemiology (152 citations) and Endocrinology (16 citations). Hai Jiang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include David O’Callaghan, Jinyi Zhang, Chen Sun, Dongri Piao, Hongyan Zhao, Buyun Cui, Zhiguo Liu, Dongdong Di, Miao Wang and Xianzhu Xia. Their work appears in journals such as Infectious Diseases of Poverty, BMC Microbiology, BMC Infectious Diseases, Genome and China Economic Review.
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.