Jun Ma
Impact in
- Cell Biology top 1%
- Aldose Reductase and Taurine
- Plant Pathogens and Fungal Diseases
- Plant Science top 2%
- Wheat and Barley Genetics and Pathology
- Mycotoxins in Agriculture and Food
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
Papers in
-
- Wheat and Barley Genetics and Pathology 29
- Mycotoxins in Agriculture and Food 14
- Genetics and Plant Breeding 13
- Research in Cotton Cultivation 11
- Cell Biology 36
- Plant Pathogens and Fungal Diseases 19
- Aldose Reductase and Taurine 13
- Co-authors
- Deliang Cao (12 shared papers)Guijun Yan (11 shared papers)Xuyu Zu (3 shared papers)Duan‐Fang Liao (6 shared papers)Wenchao Zhen (9 shared papers)Hao Zhang (3 shared papers)Ziwen Liu (2 shared papers)Dixian Luo (4 shared papers)
- Journals
- Theoretical and Applied Genetics (10 papers)Frontiers in Plant Science (5 papers)Euphytica (4 papers)PLoS ONE (2 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jun Ma
105 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 789
- Plant Science 1.1k
- Cancer Research 181
- Genetics 304
- Agronomy and Crop Science 111
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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 137 | |
| 2 | 2007 | 120 | |
| 3 | 2017 | 112 | |
| 4 | 2006 | 101 | |
| 5 | 2016 | 97 | |
| 6 | 2012 | 96 | |
| 7 | 2015 | 86 | |
| 8 | 2009 | 80 | |
| 9 | 2010 | 79 | |
| 10 | 2017 | 60 | |
| 11 | 2020 | 54 | |
| 12 | 2011 | 52 | |
| 13 | 2011 | 52 | |
| 14 | 2014 | 51 | |
| 15 | 2011 | 51 | |
| 16 | 2010 | 45 | |
| 17 | 2013 | 44 | |
| 18 | 2010 | 42 | |
| 19 | 2020 | 42 | |
| 20 | 2012 | 37 |
About Jun Ma
Jun Ma is a scholar working on Plant Science, Cell Biology, Molecular Biology, Genetics and Agronomy and Crop Science, having authored 116 papers that have together received 2.2k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (29 papers), Plant Pathogens and Fungal Diseases (19 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Mycotoxins in Agriculture and Food (14 papers), Genetics and Plant Breeding (13 papers), Aldose Reductase and Taurine (13 papers), Research in Cotton Cultivation (11 papers) and Heme Oxygenase-1 and Carbon Monoxide (9 papers). The work is most often cited by research in Cell Biology (789 citations), Plant Science (1.1k citations), Cancer Research (181 citations), Genetics (304 citations) and Agronomy and Crop Science (111 citations). Jun Ma has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Deliang Cao, Guijun Yan, Xuyu Zu, Duan‐Fang Liao, Wenchao Zhen, Hao Zhang, Ziwen Liu, Dixian Luo, Krishna Rao and Caiying Zhang. Their work appears in journals such as Theoretical and Applied Genetics, Frontiers in Plant Science, Euphytica, PLoS ONE and BMC Genomics.
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.