Haiyan Long
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- Antibiotic Resistance in Bacteria 6
- Co-authors
- Zhiyong Zong (7 shared papers)Yu Feng (4 shared papers)Alan McNally (3 shared papers)Andreas Ambrosch (1 shared paper)Wolfgang König (1 shared paper)Lu Liu (2 shared papers)Ke Ma (2 shared papers)Joseph P. Bidwell (1 shared paper)
- Journals
- Antimicrobial Resistance and Infection Control (1 paper)PLoS ONE (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)The Journal of Infectious Diseases (1 paper)Vaccines (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Haiyan Long
13 papers receiving 322 citations
Peers
Comparison fields: 5 of 59
- Molecular Medicine 114
- Endocrinology 50
- Parasitology 55
- Infectious Diseases 47
- Pollution 29
Countries citing papers authored by Haiyan Long
This map shows the geographic impact of Haiyan Long'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 Haiyan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyan Long more than expected).
Fields of papers citing papers by Haiyan Long
This network shows the impact of papers produced by Haiyan Long. 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 Haiyan Long. The network helps show where Haiyan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiyan Long, 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 | 2001 | 64 | |
| 2 | 2016 | 50 | |
| 3 | 1997 | 45 | |
| 4 | 2019 | 42 | |
| 5 | 2019 | 40 | |
| 6 | 2018 | 26 | |
| 7 | 2020 | 24 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 7 | |
| 10 | 2025 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2025 | 3 | |
| 13 | [Regulation of purine biosynthetic genes expression in Salmonella typhimurium]. | 2000 | 1 |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Haiyan Long
Haiyan Long is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Epidemiology and Infectious Diseases, having authored 15 papers that have together received 325 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Vibrio bacteria research studies (3 papers), Immunotherapy and Immune Responses (2 papers), Respiratory viral infections research (2 papers), Infection Control and Ventilation (1 paper), Adversarial Robustness in Machine Learning (1 paper), Bone and Dental Protein Studies (1 paper) and Coccidia and coccidiosis research (1 paper). The work is most often cited by research in Molecular Medicine (114 citations), Endocrinology (50 citations), Parasitology (55 citations), Infectious Diseases (47 citations) and Pollution (29 citations). Haiyan Long has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhiyong Zong, Yu Feng, Alan McNally, Andreas Ambrosch, Wolfgang König, Lu Liu, Ke Ma, Joseph P. Bidwell, Marta Alvarez and Jude E. Onyia. Their work appears in journals such as Antimicrobial Resistance and Infection Control, PLoS ONE, Journal of Antimicrobial Chemotherapy, The Journal of Infectious Diseases and Vaccines.
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.