Bing Hao
Impact in
- Cell Biology top 2%
- Hemoglobin structure and function
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- Photosynthetic Processes and Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 12
- Oncology 13
- Cancer-related Molecular Pathways 6
- Peptidase Inhibition and Analysis 6
- Co-authors
- Michael K. Chan (10 shared papers)Weimin Gong (6 shared papers)Yunfeng Li (26 shared papers)Nikola P. Pavletich (2 shared papers)Mathew E. Sowa (1 shared paper)J. Wade Harper (1 shared paper)Joseph A. Krzycki (3 shared papers)Michele Pagano (3 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (4 papers)Biochemistry (4 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Bing Hao
60 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 121
- Cell Biology 560
- Molecular Biology 2.3k
- Oncology 656
- Genetics 376
- Biotechnology 98
Countries citing papers authored by Bing Hao
This map shows the geographic impact of Bing Hao'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 Bing Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Hao more than expected).
Fields of papers citing papers by Bing Hao
This network shows the impact of papers produced by Bing Hao. 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 Bing Hao. The network helps show where Bing Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Hao, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 373 | |
| 2 | 2002 | 316 | |
| 3 | 1998 | 285 | |
| 4 | 2005 | 248 | |
| 5 | 2012 | 181 | |
| 6 | 2010 | 156 | |
| 7 | 2000 | 116 | |
| 8 | 1997 | 102 | |
| 9 | 2008 | 101 | |
| 10 | 2002 | 92 | |
| 11 | 2008 | 75 | |
| 12 | 2022 | 67 | |
| 13 | 2012 | 64 | |
| 14 | 2004 | 57 | |
| 15 | 1999 | 56 | |
| 16 | 2018 | 47 | |
| 17 | 2013 | 46 | |
| 18 | 2002 | 43 | |
| 19 | 2013 | 43 | |
| 20 | 2017 | 38 |
About Bing Hao
Bing Hao is a scholar working on Molecular Biology, Oncology, Genetics, Ecology and Epidemiology, having authored 64 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Ubiquitin and proteasome pathways (12 papers), Bacteriophages and microbial interactions (7 papers), Enzyme Structure and Function (7 papers), Cancer-related Molecular Pathways (6 papers), Peptidase Inhibition and Analysis (6 papers), Autophagy in Disease and Therapy (4 papers) and Trypanosoma species research and implications (3 papers). The work is most often cited by research in Cell Biology (560 citations), Molecular Biology (2.3k citations), Oncology (656 citations), Genetics (376 citations) and Biotechnology (98 citations). Bing Hao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael K. Chan, Weimin Gong, Yunfeng Li, Nikola P. Pavletich, Mathew E. Sowa, J. Wade Harper, Joseph A. Krzycki, Michele Pagano, T. Ferguson and G. González. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Biochemistry and Nature Communications.
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.