Guangxi Wang
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Weed Control and Herbicide Applications 11
- Plant responses to water stress 4
- Co-authors
- Michael Hochberg (5 shared papers)Larry R. Dalton (5 shared papers)Axel Scherer (5 shared papers)Rhys Lawson (2 shared papers)Alex K.‐Y. Jen (2 shared papers)Thomas Baehr-Jones (2 shared papers)Tom Baehr‐Jones (4 shared papers)Kazuyuki Itoh (12 shared papers)
- Journals
- Pesticide Biochemistry and Physiology (7 papers)Scientific Reports (5 papers)Microbial Pathogenesis (4 papers)Aquatic Botany (4 papers)Journal of Systematics and Evolution (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Guangxi Wang
121 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 150
- Molecular Medicine 283
- Endocrinology 106
- Geriatrics and Gerontology 54
- Atomic and Molecular Physics, and Optics 369
- Parasitology 74
Countries citing papers authored by Guangxi Wang
This map shows the geographic impact of Guangxi 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 Guangxi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangxi Wang more than expected).
Fields of papers citing papers by Guangxi Wang
This network shows the impact of papers produced by Guangxi 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 Guangxi Wang. The network helps show where Guangxi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangxi 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 232 | |
| 2 | 2005 | 219 | |
| 3 | 2022 | 142 | |
| 4 | 2019 | 117 | |
| 5 | 2017 | 100 | |
| 6 | 2007 | 97 | |
| 7 | 2017 | 61 | |
| 8 | 2019 | 60 | |
| 9 | 2023 | 57 | |
| 10 | 2015 | 56 | |
| 11 | 2016 | 53 | |
| 12 | 2018 | 51 | |
| 13 | 2019 | 48 | |
| 14 | 2014 | 44 | |
| 15 | 2016 | 42 | |
| 16 | 2019 | 40 | |
| 17 | 2013 | 39 | |
| 18 | 2017 | 39 | |
| 19 | 2007 | 38 | |
| 20 | 2022 | 34 |
About Guangxi Wang
Guangxi Wang is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Medicine and Cancer Research, having authored 127 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Weed Control and Herbicide Applications (11 papers), Plant and animal studies (8 papers), Photonic and Optical Devices (6 papers), Genetic diversity and population structure (5 papers), Plant Diversity and Evolution (5 papers), Plant responses to water stress (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). The work is most often cited by research in Molecular Medicine (283 citations), Endocrinology (106 citations), Geriatrics and Gerontology (54 citations), Atomic and Molecular Physics, and Optics (369 citations) and Parasitology (74 citations). Guangxi Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Michael Hochberg, Larry R. Dalton, Axel Scherer, Rhys Lawson, Alex K.‐Y. Jen, Thomas Baehr-Jones, Tom Baehr‐Jones, Kazuyuki Itoh, Yi Liao and Philip A. Sullivan. Their work appears in journals such as Pesticide Biochemistry and Physiology, Scientific Reports, Microbial Pathogenesis, Aquatic Botany and Journal of Systematics and Evolution.
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.