Jun Ma
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- Genomics, phytochemicals, and oxidative stress 5
- Epidemiology 16
- Autophagy in Disease and Therapy 5
- Co-authors
- Jianhua Xiao (13 shared papers)Hao Chen (15 shared papers)Xiang Gao (10 shared papers)Zhihui Jiao (5 shared papers)Hongbin Wang (5 shared papers)Hao Chen (4 shared papers)Muhammad Abid Hayat (3 shared papers)Xiaowen Jiang (7 shared papers)
- Journals
- Journal of Hazardous Materials (4 papers)Preventive Veterinary Medicine (4 papers)Poultry Science (3 papers)PeerJ (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Ma
93 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 133
- Ecological Modeling 93
- Agronomy and Crop Science 168
- Infectious Diseases 198
- Ecology, Evolution, Behavior and Systematics 136
- Biochemistry 40
Countries citing papers authored by Jun Ma
This map shows the geographic impact of Jun Ma'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 Jun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ma more than expected).
Fields of papers citing papers by Jun Ma
This network shows the impact of papers produced by Jun Ma. 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 Jun Ma. The network helps show where Jun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ma, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2022 | 70 | |
| 3 | 2018 | 68 | |
| 4 | 2019 | 63 | |
| 5 | 2021 | 53 | |
| 6 | 2024 | 46 | |
| 7 | 2011 | 40 | |
| 8 | 2022 | 37 | |
| 9 | 2020 | 35 | |
| 10 | 2007 | 35 | |
| 11 | 2009 | 29 | |
| 12 | 2024 | 28 | |
| 13 | 2019 | 27 | |
| 14 | 2024 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2019 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2016 | 22 | |
| 19 | 2024 | 22 | |
| 20 | 2023 | 22 |
About Jun Ma
Jun Ma is a scholar working on Molecular Biology, Epidemiology, Immunology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 99 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (8 papers), Vector-Borne Animal Diseases (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Species Distribution and Climate Change (5 papers), Autophagy in Disease and Therapy (5 papers), Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (5 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). The work is most often cited by research in Ecological Modeling (93 citations), Agronomy and Crop Science (168 citations), Infectious Diseases (198 citations), Ecology, Evolution, Behavior and Systematics (136 citations) and Biochemistry (40 citations). Jun Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianhua Xiao, Hao Chen, Xiang Gao, Zhihui Jiao, Hongbin Wang, Hongbin Wang, Hao Chen, Muhammad Abid Hayat, Xiaowen Jiang and Wenhui Yu. Their work appears in journals such as Journal of Hazardous Materials, Preventive Veterinary Medicine, Poultry Science, PeerJ and Scientific Reports.
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.