Zhonghu Bai
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Viral Infectious Diseases and Gene Expression in Insects
- Enzyme Catalysis and Immobilization
- CRISPR and Genetic Engineering
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 31
- Viral Infectious Diseases and Gene Expression in Insects 29
- Fungal and yeast genetics research 12
- Protein purification and stability 11
- RNA and protein synthesis mechanisms 9
- Plant biochemistry and biosynthesis 9
- CRISPR and Genetic Engineering 7
Zhonghu Bai
91 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 664
- Molecular Biology 2.1k
- Oncology 712
- Biotechnology 216
- Toxicology 40
Countries citing papers authored by Zhonghu Bai
This map shows the geographic impact of Zhonghu Bai'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 Zhonghu Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghu Bai more than expected).
Fields of papers citing papers by Zhonghu Bai
This network shows the impact of papers produced by Zhonghu Bai. 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 Zhonghu Bai. The network helps show where Zhonghu Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhonghu Bai, 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 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 20 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2016 | 310 | |
| 19 | 2005 | 152 | |
| 20 | 2003 | 110 |
About Zhonghu Bai
Zhonghu Bai is a scholar working on Fuel Technology, Molecular Biology, Biotechnology, Aging and Genetics, having authored 105 papers that have together received 3.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (31 papers), Viral Infectious Diseases and Gene Expression in Insects (29 papers), Biofuel production and bioconversion (13 papers), Fungal and yeast genetics research (12 papers), Protein purification and stability (11 papers), RNA and protein synthesis mechanisms (9 papers), Plant biochemistry and biosynthesis (9 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Cancer Research (664 citations), Molecular Biology (2.1k citations), Oncology (712 citations), Biotechnology (216 citations) and Toxicology (40 citations). Zhonghu Bai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiaofeng Dai, Yankun Yang, Jia Li, Hongye Cheng, Xiuxia Liu, Jinling Zhan, Brian McNeil, Bozhi Shi, Ting Li and Linda M. Harvey. Their work appears in journals such as Biotechnology and Bioengineering, ACS Synthetic Biology, Biotechnology Letters, Critical Reviews in Biotechnology and Enzyme and Microbial Technology.
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.