Bin Ma
Impact in
- Research and Theory top 10%
- Pharmacology top 1%
- Alkaloids: synthesis and pharmacology
- Berberine and alkaloids research
Papers in
-
- Plant Gene Expression Analysis 6
-
- Laser Material Processing Techniques 16
- Surface Roughness and Optical Measurements 6
- Co-authors
- Irina Stepanov (12 shared papers)Stephen S. Hecht (10 shared papers)Yoshihiro Kano (5 shared papers)Dan Yuan (5 shared papers)Peter W. Villalta (9 shared papers)Ge Lin (7 shared papers)Jingyu Yang (3 shared papers)Zhanshan Wang (26 shared papers)
- Journals
- Chemical Research in Toxicology (8 papers)Drug Metabolism Reviews (5 papers)Optics Express (4 papers)Drug Metabolism and Disposition (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bin Ma
95 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 153
- Research and Theory 28
- Pharmacology 267
- Biochemistry 115
- Pharmacology 219
- Leadership and Management 15
Countries citing papers authored by Bin Ma
This map shows the geographic impact of Bin 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 Bin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ma more than expected).
Fields of papers citing papers by Bin Ma
This network shows the impact of papers produced by Bin 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 Bin Ma. The network helps show where Bin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 102 | |
| 2 | 2006 | 90 | |
| 3 | 2008 | 82 | |
| 4 | 2022 | 67 | |
| 5 | 2019 | 63 | |
| 6 | 1999 | 60 | |
| 7 | 2018 | 59 | |
| 8 | 2004 | 58 | |
| 9 | 2018 | 57 | |
| 10 | 2011 | 52 | |
| 11 | 2009 | 43 | |
| 12 | 2013 | 37 | |
| 13 | 2012 | 35 | |
| 14 | 2015 | 32 | |
| 15 | 2017 | 31 | |
| 16 | 2016 | 30 | |
| 17 | 2012 | 29 | |
| 18 | 2014 | 27 | |
| 19 | 2017 | 26 | |
| 20 | 2004 | 26 |
About Bin Ma
Bin Ma is a scholar working on Molecular Biology, Computational Mechanics, Biomedical Engineering, Pharmacology and Plant Science, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (16 papers), Laser Material Processing Techniques (16 papers), Carcinogens and Genotoxicity Assessment (7 papers), Plant Gene Expression Analysis (6 papers), Surface Roughness and Optical Measurements (6 papers), Alkaloids: synthesis and pharmacology (5 papers), Traditional and Medicinal Uses of Annonaceae (5 papers) and Ocular and Laser Science Research (5 papers). The work is most often cited by research in Research and Theory (28 citations), Pharmacology (267 citations), Biochemistry (115 citations), Pharmacology (219 citations) and Leadership and Management (15 citations). Bin Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Irina Stepanov, Stephen S. Hecht, Yoshihiro Kano, Dan Yuan, Peter W. Villalta, Ge Lin, Jingyu Yang, Zhanshan Wang, Liang Cui and Hong‐Xiang Lou. Their work appears in journals such as Chemical Research in Toxicology, Drug Metabolism Reviews, Optics Express, Drug Metabolism and Disposition 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.