Hao‐Ping Chen
Impact in
- Biotechnology top 5%
- Pollution top 10%
- Microbial bioremediation and biosurfactants
Papers in
- Biochemistry 10
- Amino Acid Enzymes and Metabolism 10
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- Biochemical and biochemical processes 4
- Enzyme Production and Characterization 4
- Co-authors
- E. Neil G. Marsh (5 shared papers)Guang-Huey Lin (6 shared papers)Lindsay D. Eltis (3 shared papers)Shih‐Hsiung Wu (6 shared papers)Hung‐Yu Shu (3 shared papers)Tsung‐Jung Ho (15 shared papers)Chi‐Chun Liu (1 shared paper)Jie Liu (1 shared paper)
- Journals
- International Journal of Molecular Sciences (4 papers)Applied and Environmental Microbiology (4 papers)Journal of Biological Chemistry (3 papers)Enzyme and Microbial Technology (3 papers)Protein Expression and Purification (2 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Hao‐Ping Chen
54 papers receiving 871 citations
Peers
Comparison fields: 5 of 81
- Biotechnology 93
- Pollution 114
- Biochemistry 59
- Rehabilitation 59
- Molecular Biology 368
Countries citing papers authored by Hao‐Ping Chen
This map shows the geographic impact of Hao‐Ping Chen'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 Hao‐Ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao‐Ping Chen more than expected).
Fields of papers citing papers by Hao‐Ping Chen
This network shows the impact of papers produced by Hao‐Ping Chen. 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 Hao‐Ping Chen. The network helps show where Hao‐Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao‐Ping Chen, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 98 | |
| 2 | 2001 | 50 | |
| 3 | 2012 | 46 | |
| 4 | 2001 | 43 | |
| 5 | 2015 | 41 | |
| 6 | 2010 | 40 | |
| 7 | 1997 | 39 | |
| 8 | 1997 | 33 | |
| 9 | 2023 | 28 | |
| 10 | 2016 | 27 | |
| 11 | 2015 | 25 | |
| 12 | 2014 | 24 | |
| 13 | 2005 | 22 | |
| 14 | 2014 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2018 | 21 | |
| 19 | 1995 | 19 | |
| 20 | 2018 | 19 |
About Hao‐Ping Chen
Hao‐Ping Chen is a scholar working on Biochemistry, Biotechnology, Molecular Biology, Rehabilitation and Pollution, having authored 56 papers that have together received 891 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (12 papers), Amino Acid Enzymes and Metabolism (10 papers), Enzyme Structure and Function (8 papers), Microbial bioremediation and biosurfactants (6 papers), Wound Healing and Treatments (6 papers), Biochemical and biochemical processes (4 papers), Steroid Chemistry and Biochemistry (4 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Biotechnology (93 citations), Pollution (114 citations), Biochemistry (59 citations), Rehabilitation (59 citations) and Molecular Biology (368 citations). Hao‐Ping Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include E. Neil G. Marsh, Guang-Huey Lin, Lindsay D. Eltis, Shih‐Hsiung Wu, Hung‐Yu Shu, Tsung‐Jung Ho, Chi‐Chun Liu, Jie Liu, Jai‐Sing Yang and San‐San Tsay. Their work appears in journals such as International Journal of Molecular Sciences, Applied and Environmental Microbiology, Journal of Biological Chemistry, Enzyme and Microbial Technology and Protein Expression and Purification.
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.