Bei Zhang
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 3
- Biochemistry top 5%
- Physiology top 10%
- Diet and metabolism studies 2
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
- Protein Degradation and Inhibitors 3
- Endocrine and Autonomic Systems top 10%
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- Flood Risk Assessment and Management 2
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- EFL/ESL Teaching and Learning 2
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- Hormonal Regulation and Hypertension 2
- Co-authors
- Jim PersingerBlaine BartholomewDavid E. MollerStefan R. KassabovAlex ElbrechtJoel P. BergerSubarna BiswasDeborah Szalkowski
- Journals
- Journal of Biological Chemistry (3 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Bei Zhang
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 139
- Clinical Biochemistry 106
- Biochemistry 98
- Physiology 307
- Molecular Biology 801
- Endocrine and Autonomic Systems 68
Countries citing papers authored by Bei Zhang
This map shows the geographic impact of Bei Zhang'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 Bei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Zhang more than expected).
Fields of papers citing papers by Bei Zhang
This network shows the impact of papers produced by Bei Zhang. 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 Bei Zhang. The network helps show where Bei Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bei Zhang, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 10 | |
| 11 | 2017 | 16 | |
| 12 | 2016 | 12 | |
| 13 | 2016 | 15 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 8 | |
| 16 | 2010 | 9 | |
| 17 | 2007 | 36 | |
| 18 | Application of product semantics to design | 2006 | 1 |
| 19 | 1996 | 239 | |
| 20 | 1990 | 70 |
About Bei Zhang
Bei Zhang is a scholar working on Clinical Biochemistry, General Dentistry, Biochemistry, Transplantation and Molecular Biology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Metabolism and Genetic Disorders (3 papers), Protein Degradation and Inhibitors (3 papers), Diet and metabolism studies (2 papers), Flood Risk Assessment and Management (2 papers), EFL/ESL Teaching and Learning (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Clinical Biochemistry (106 citations), Biochemistry (98 citations), Physiology (307 citations), Molecular Biology (801 citations) and Endocrine and Autonomic Systems (68 citations). Bei Zhang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jim Persinger, Blaine Bartholomew, David E. Moller, Stefan R. Kassabov, Alex Elbrecht, Joel P. Berger, Subarna Biswas, Deborah Szalkowski, Gaochao Zhou and Vedrana S. Susulic. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Biochemical and Biophysical Research Communications, Transplantation and Annals of Human Genetics.
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.