Bin Ma
- Biochemistry top 10%
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods 3
- Biochemistry top 10%
- Software top 10%
- Signal Processing top 10%
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- RNA and protein synthesis mechanisms 6
- Natural product bioactivities and synthesis 3
- Machine Learning in Bioinformatics 2
- CRISPR and Genetic Engineering 2
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- Molecular Sensors and Ion Detection 3
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- Biological and pharmacological studies of plants 3
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- Lichen and fungal ecology 2
- Co-authors
- Jiangling PengYong WangQiang ZhuCharles H. BennettMing LiHong‐Xiang LouDong‐Mei RenJiantao Guo
- Journals
- Nature Communications (3 papers)Helvetica Chimica Acta (2 papers)Nature Chemical Biology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bin Ma
31 papers receiving 970 citations
Peers
Comparison fields: 5 of 125
- Biochemistry 49
- Organic Chemistry 229
- Biochemistry 54
- Software 28
- Signal Processing 71
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 1 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 50 | |
| 9 | 2016 | 37 | |
| 10 | 2016 | 16 | |
| 11 | 2012 | 2 | |
| 12 | 2012 | 3 | |
| 13 | 2012 | 118 | |
| 14 | 2011 | 163 | |
| 15 | Testing Research on Direct Measurement of Transformer at the Scene | 2007 | 0 |
| 16 | 2007 | 13 | |
| 17 | 2005 | 23 | |
| 18 | 2004 | 75 | |
| 19 | 2004 | 15 | |
| 20 | 2003 | 70 |
About Bin Ma
Bin Ma is a scholar working on Molecular Biology, Spectroscopy, Pharmacology, Endocrinology and Bioengineering, having authored 32 papers that have together received 985 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Catalytic C–H Functionalization Methods (3 papers), Molecular Sensors and Ion Detection (3 papers), Biological and pharmacological studies of plants (3 papers), Natural product bioactivities and synthesis (3 papers), Machine Learning in Bioinformatics (2 papers), Lichen and fungal ecology (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biochemistry (49 citations), Organic Chemistry (229 citations), Biochemistry (54 citations), Software (28 citations) and Signal Processing (71 citations). Bin Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiangling Peng, Yong Wang, Qiang Zhu, Charles H. Bennett, Ming Li, Hong‐Xiang Lou, Dong‐Mei Ren, Jiantao Guo, Wei Niu and Huiqing Yuan. Their work appears in journals such as Nature Communications, Helvetica Chimica Acta, Nature Chemical Biology, The Journal of Organic Chemistry and Experimental and Molecular Pathology.
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.