Sumin Bian
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
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- Biosimilars and Bioanalytical Methods
Papers in
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- Biosensors and Analytical Detection 9
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- Advanced biosensing and bioanalysis techniques 10
- Co-authors
- Mohamad Sawan (23 shared papers)Ann Gils (9 shared papers)Séverine Vermeire (8 shared papers)Marc Ferrante (7 shared papers)Guoguang Rong (9 shared papers)Gert Van Assche (5 shared papers)Bowen Zhu (2 shared papers)Griet Compernolle (4 shared papers)
- Journals
- Journal of Pharmaceutical Analysis (5 papers)Biosensors (4 papers)Alimentary Pharmacology & Therapeutics (2 papers)Frontiers in Bioengineering and Biotechnology (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Sumin Bian
37 papers receiving 769 citations
Peers
Comparison fields: 5 of 103
- Genetics 251
- Immunology 135
- Bioengineering 35
- Biomedical Engineering 239
- Infectious Diseases 80
Countries citing papers authored by Sumin Bian
This map shows the geographic impact of Sumin Bian'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 Sumin Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumin Bian more than expected).
Fields of papers citing papers by Sumin Bian
This network shows the impact of papers produced by Sumin Bian. 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 Sumin Bian. The network helps show where Sumin Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumin Bian, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2020 | 83 | |
| 3 | 2018 | 58 | |
| 4 | 2020 | 51 | |
| 5 | 2023 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2019 | 37 | |
| 8 | 2023 | 36 | |
| 9 | 2017 | 30 | |
| 10 | 2016 | 28 | |
| 11 | 2022 | 27 | |
| 12 | 2023 | 26 | |
| 13 | 2022 | 22 | |
| 14 | 2017 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2016 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2021 | 11 | |
| 20 | 2022 | 11 |
About Sumin Bian
Sumin Bian is a scholar working on Biomedical Engineering, Molecular Biology, Infectious Diseases, Genetics and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 788 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), Biosensors and Analytical Detection (9 papers), SARS-CoV-2 detection and testing (8 papers), Inflammatory Bowel Disease (7 papers), Neuroscience and Neural Engineering (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Genetics (251 citations), Immunology (135 citations), Bioengineering (35 citations), Biomedical Engineering (239 citations) and Infectious Diseases (80 citations). Sumin Bian has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Mohamad Sawan, Ann Gils, Séverine Vermeire, Marc Ferrante, Guoguang Rong, Gert Van Assche, Bowen Zhu, Griet Compernolle, Bram Verstockt and Erwin Dreesen. Their work appears in journals such as Journal of Pharmaceutical Analysis, Biosensors, Alimentary Pharmacology & Therapeutics, Frontiers in Bioengineering and Biotechnology and Journal of Pharmaceutical and Biomedical Analysis.
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.