Gang Ma
- Plant Science top 2%
- Molecular Biology top 10%
- Insect Science top 0.5%
- Biochemistry top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Chun‐Sen MaLan‐Cui ZhangKazuki YamawakiSylvain PincebourdeMasaya KatoMasaki YahataVolker H. W. RudolfHikaru Matsumoto
- Topics
- Antioxidant Activity and Oxidative Stress (19 papers)Insect-Plant Interactions and Control (19 papers)Plant biochemistry and biosynthesis (16 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Gang Ma
80 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Plant Science 1.2k
- Molecular Biology 981
- Insect Science 782
- Biochemistry 499
- Ecology, Evolution, Behavior and Systematics 369
Countries citing papers authored by Gang Ma
This map shows the geographic impact of Gang 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 Gang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Ma more than expected).
Fields of papers citing papers by Gang Ma
This network shows the impact of papers produced by Gang 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 Gang Ma. The network helps show where Gang Ma may publish in the future.
Co-authorship network of co-authors of Gang Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ma. A scholar is included among the top collaborators of Gang Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Ma. Gang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 34 | |
| 11 | 6 | |
| 12 | 31 | |
| 13 | Responses of microbial respiration to nitrogen addition in two alpine soils in the Qinghai-Tibetan Plateau. | 3 |
| 14 | Response of soil greenhouse gas emissions to different forms of nitrogen in alpine shrub ecosystems. | 1 |
| 15 | 39 | |
| 16 | 35 | |
| 17 | 8 | |
| 18 | 26 | |
| 19 | Regulation of endogenous hormones on post-harvest senescence in transgenic broccoli carrying an antisense or a sense BO-ACO 2 gene | 6 |
| 20 | 47 |
About Gang Ma
Gang Ma is a scholar working on Biochemistry, Insect Science and Plant Science, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antioxidant Activity and Oxidative Stress (19 papers), Insect-Plant Interactions and Control (19 papers) and Plant biochemistry and biosynthesis (16 papers). The work is most often cited by research in Biochemistry (499 citations), Insect Science (782 citations) and Ecological Modeling (179 citations). Gang Ma has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Chun‐Sen Ma, Lan‐Cui Zhang, Kazuki Yamawaki, Sylvain Pincebourde, Masaya Kato, Masaki Yahata, Volker H. W. Rudolf, Hikaru Matsumoto, Yoshinori Ikoma and Otto Schmidt. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.