Kun Mi
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
- Pharmacology 12
- Antibiotics Pharmacokinetics and Efficacy 12
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- Veterinary medicine and infectious diseases 4
- Veterinary Pharmacology and Anesthesia 3
- Co-authors
- Lingli Huang (23 shared papers)Xiangyue Xu (13 shared papers)Wenjin Ma (13 shared papers)Kaixiang Zhou (14 shared papers)Meixia Huo (10 shared papers)Xiaoyuan Tian (4 shared papers)Lan Zhang (3 shared papers)Guyue Cheng (5 shared papers)
- Journals
- Pharmaceutics (4 papers)Antibiotics (3 papers)Frontiers in Pharmacology (3 papers)Microbial Pathogenesis (2 papers)Environment International (2 papers)
- Partner nations
- ChinaEgyptUnited States
In The Last Decade
Kun Mi
29 papers receiving 364 citations
Peers
Comparison fields: 5 of 62
- Molecular Medicine 46
- Pollution 73
- Pharmacology 51
- Small Animals 25
- Microbiology 16
Countries citing papers authored by Kun Mi
This map shows the geographic impact of Kun Mi'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 Kun Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Mi more than expected).
Fields of papers citing papers by Kun Mi
This network shows the impact of papers produced by Kun Mi. 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 Kun Mi. The network helps show where Kun Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Mi, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 75 | |
| 2 | 2022 | 30 | |
| 3 | 2021 | 29 | |
| 4 | 2023 | 27 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 20 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2025 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 5 |
About Kun Mi
Kun Mi is a scholar working on Pharmacology, Small Animals, Pollution, Food Science and Microbiology, having authored 29 papers that have together received 373 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Veterinary medicine and infectious diseases (4 papers), Veterinary Pharmacology and Anesthesia (3 papers), Agricultural safety and regulations (3 papers), Microbial infections and disease research (2 papers), Streptococcal Infections and Treatments (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Molecular Medicine (46 citations), Pollution (73 citations), Pharmacology (51 citations), Small Animals (25 citations) and Microbiology (16 citations). Kun Mi has collaborated with scholars based in China, Egypt and United States. Frequent co-authors include Lingli Huang, Xiangyue Xu, Wenjin Ma, Kaixiang Zhou, Meixia Huo, Xiaoyuan Tian, Lan Zhang, Guyue Cheng, Ru Wang and Zhenli Liu. Their work appears in journals such as Pharmaceutics, Antibiotics, Frontiers in Pharmacology, Microbial Pathogenesis and Environment International.
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.