George Wang
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
- Ecology top 2%
- Physiological and biochemical adaptations
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 5
- Ecology 8
- Physiological and biochemical adaptations 7
- Co-authors
- Michael E. Dillon (5 shared papers)Raymond B. Huey (3 shared papers)Detlef Weigel (7 shared papers)Paul Garrity (1 shared paper)Thi H. O. Nguyen (1 shared paper)Nicole L. La Gruta (1 shared paper)E. Bridie Clemens (1 shared paper)Paul G. Thomas (1 shared paper)
- Journals
- Journal of Thermal Biology (3 papers)PLoS Genetics (2 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Plant Journal (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
George Wang
28 papers receiving 3.0k citations
George Wang's Hit Papers
Peers
Comparison fields: 5 of 138
- Ecological Modeling 463
- Ecology 824
- Ecology, Evolution, Behavior and Systematics 559
- Nature and Landscape Conservation 308
- Immunology 443
Countries citing papers authored by George Wang
This map shows the geographic impact of George 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 George Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Wang more than expected).
Fields of papers citing papers by George Wang
This network shows the impact of papers produced by George 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 George Wang. The network helps show where George Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside George 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global metabolic impacts of recent climate warming Hit paper breakdown → | 2010 | 735 |
| 2 | Quantifiable predictive features define epitope-specific T cell receptor repertoires Hit paper breakdown → | 2017 | 520 |
| 3 | 2008 | 205 | |
| 4 | 2016 | 163 | |
| 5 | 2014 | 143 | |
| 6 | 2017 | 138 | |
| 7 | 2001 | 123 | |
| 8 | 2016 | 102 | |
| 9 | 2015 | 101 | |
| 10 | 2007 | 97 | |
| 11 | 2016 | 80 | |
| 12 | 2016 | 73 | |
| 13 | 2018 | 62 | |
| 14 | 2008 | 61 | |
| 15 | 2017 | 54 | |
| 16 | 2019 | 53 | |
| 17 | 2018 | 46 | |
| 18 | 2014 | 46 | |
| 19 | 2012 | 36 | |
| 20 | 1999 | 34 |
About George Wang
George Wang is a scholar working on Molecular Biology, Ecology, Plant Science, Genetics and Nature and Landscape Conservation, having authored 28 papers that have together received 3.0k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Species Distribution and Climate Change (4 papers), Insect and Arachnid Ecology and Behavior (4 papers), Plant Molecular Biology Research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Ecological Modeling (463 citations), Ecology (824 citations), Ecology, Evolution, Behavior and Systematics (559 citations), Nature and Landscape Conservation (308 citations) and Immunology (443 citations). George Wang has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael E. Dillon, Raymond B. Huey, Detlef Weigel, Paul Garrity, Thi H. O. Nguyen, Nicole L. La Gruta, E. Bridie Clemens, Paul G. Thomas, Tomer Hertz and Andrew Fioré-Gartland. Their work appears in journals such as Journal of Thermal Biology, PLoS Genetics, Nature, Proceedings of the National Academy of Sciences and The Plant 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.