Bin Qin
Impact in
- Molecular Biology top 5%
- TGF-β signaling in diseases
- Enzyme Catalysis and Immobilization
- Plant biochemistry and biosynthesis
- RNA Interference and Gene Delivery
- Microbial Metabolic Engineering and Bioproduction
- Advanced biosensing and bioanalysis techniques
- Biotechnology top 2%
Papers in
-
- Enzyme Catalysis and Immobilization 22
- Microbial Metabolic Engineering and Bioproduction 11
- Plant biochemistry and biosynthesis 10
- TGF-β signaling in diseases 5
-
- Soybean genetics and cultivation 5
- Co-authors
- Kai Lin (5 shared papers)Suvana S. Lam (5 shared papers)Kun Cheng (8 shared papers)Maria C. Bewley (2 shared papers)Lawrence K. Creamer (2 shared papers)Edward N. Baker (2 shared papers)Geoffrey B. Jameson (2 shared papers)Heather M. Baker (1 shared paper)
- Journals
- ACS Catalysis (5 papers)ChemCatChem (3 papers)Pharmaceutical Research (3 papers)Advanced Synthesis & Catalysis (3 papers)Molecular Catalysis (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Qin
120 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.9k
- Biotechnology 213
- Pharmacology 372
- Food Science 371
- Cancer Research 233
Countries citing papers authored by Bin Qin
This map shows the geographic impact of Bin Qin'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 Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Qin more than expected).
Fields of papers citing papers by Bin Qin
This network shows the impact of papers produced by Bin Qin. 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 Qin. The network helps show where Bin Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Qin, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 426 | |
| 2 | 2004 | 155 | |
| 3 | 2001 | 119 | |
| 4 | 1999 | 117 | |
| 5 | 2015 | 116 | |
| 6 | 2002 | 113 | |
| 7 | 2017 | 106 | |
| 8 | 2016 | 105 | |
| 9 | 2010 | 96 | |
| 10 | 2001 | 78 | |
| 11 | 2011 | 77 | |
| 12 | 2018 | 67 | |
| 13 | 2014 | 66 | |
| 14 | 2016 | 62 | |
| 15 | 2012 | 62 | |
| 16 | 1999 | 57 | |
| 17 | 2010 | 54 | |
| 18 | 2012 | 53 | |
| 19 | 2011 | 51 | |
| 20 | 2019 | 51 |
About Bin Qin
Bin Qin is a scholar working on Molecular Biology, Plant Science, Immunology, Cancer Research and Organic Chemistry, having authored 130 papers that have together received 3.2k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (22 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Plant biochemistry and biosynthesis (10 papers), Microbial Natural Products and Biosynthesis (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), TGF-β signaling in diseases (5 papers), Soybean genetics and cultivation (5 papers) and Gastrointestinal motility and disorders (5 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Biotechnology (213 citations), Pharmacology (372 citations), Food Science (371 citations) and Cancer Research (233 citations). Bin Qin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kai Lin, Suvana S. Lam, Kun Cheng, Maria C. Bewley, Lawrence K. Creamer, Edward N. Baker, Geoffrey B. Jameson, Heather M. Baker, John J. Correia and Benoy M. Chacko. Their work appears in journals such as ACS Catalysis, ChemCatChem, Pharmaceutical Research, Advanced Synthesis & Catalysis and Molecular Catalysis.
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.