Wei-Chi Wang
Impact in
- Biotechnology top 1%
- Microbial Inactivation Methods
- Physiology top 5%
- Magnetic and Electromagnetic Effects
Papers in
-
- Microbial Inactivation Methods 6
-
- DNA and Nucleic Acid Chemistry 9
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 3
- Co-authors
- Sudhir K. Sastry (6 shared papers)Hsien‐Da Huang (5 shared papers)Hailing Jin (2 shared papers)Hongwei Zhao (2 shared papers)Xiaoming Zhang (1 shared paper)Surekha Katiyar‐Agarwal (1 shared paper)Natasha V. Raikhel (1 shared paper)Shang Gao (1 shared paper)
- Journals
- Journal of Food Engineering (3 papers)PLoS ONE (3 papers)Journal of Food Process Engineering (2 papers)Journal of Investigative Dermatology (1 paper)Biophysical Journal (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wei-Chi Wang
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 131
- Biotechnology 373
- Physiology 93
- Food Science 291
- Plant Science 579
- Molecular Biology 751
Countries citing papers authored by Wei-Chi Wang
This map shows the geographic impact of Wei-Chi Wang'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 Wei-Chi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Chi Wang more than expected).
Fields of papers citing papers by Wei-Chi Wang
This network shows the impact of papers produced by Wei-Chi Wang. 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 Wei-Chi Wang. The network helps show where Wei-Chi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Chi Wang, 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 | 2011 | 376 | |
| 2 | 2013 | 226 | |
| 3 | 2013 | 157 | |
| 4 | 2011 | 119 | |
| 5 | 2002 | 115 | |
| 6 | 2022 | 105 | |
| 7 | 2015 | 99 | |
| 8 | 1997 | 72 | |
| 9 | 1993 | 61 | |
| 10 | 2000 | 58 | |
| 11 | 2021 | 58 | |
| 12 | 2014 | 58 | |
| 13 | 1997 | 50 | |
| 14 | 1993 | 49 | |
| 15 | 2012 | 43 | |
| 16 | 1997 | 40 | |
| 17 | 2007 | 36 | |
| 18 | 2004 | 28 | |
| 19 | Ohmic heating of foods : physical properties and applications / | 1995 | 28 |
| 20 | 1984 | 24 |
About Wei-Chi Wang
Wei-Chi Wang is a scholar working on Biotechnology, Molecular Biology, Food Science, Plant Science and Physiology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Microbial Inactivation Methods (6 papers), Food Drying and Modeling (5 papers), Metal complexes synthesis and properties (4 papers), RNA Interference and Gene Delivery (3 papers), Plant Stress Responses and Tolerance (3 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Biotechnology (373 citations), Physiology (93 citations), Food Science (291 citations), Plant Science (579 citations) and Molecular Biology (751 citations). Wei-Chi Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Sudhir K. Sastry, Hsien‐Da Huang, Hailing Jin, Hongwei Zhao, Xiaoming Zhang, Surekha Katiyar‐Agarwal, Natasha V. Raikhel, Shang Gao, Peng‐Ye Wang and Ping Xie. Their work appears in journals such as Journal of Food Engineering, PLoS ONE, Journal of Food Process Engineering, Journal of Investigative Dermatology and Biophysical Journal.
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.