Furong Yuan
- Ecology, Evolution, Behavior and Systematics top 5%
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Insect Science top 10%
- Molecular Biology
- Co-authors
- Adriana D. BriscoeJorge Llorente-BousquetsRobert D. ReedSeth BybeeChuan‐Chin ChiaoAndrew WarrenMarilou P. Sison-MangusGary D. Bernard
- Topics
- Plant and animal studies (6 papers)Neurobiology and Insect Physiology Research (4 papers)Animal Behavior and Reproduction (2 papers)
- Cited by
- Ecology, Evolution, Behavior and SystematicsCellular and Molecular NeuroscienceInsect Science
- Journals
- Proceedings of the National Academy of SciencesThe American NaturalistMolecular Biology and Evolution
- Partner nations
- United StatesMexicoUnited Kingdom
In The Last Decade
Furong Yuan
8 papers receiving 401 citations
Peers
Comparison fields: 5 of 46
- Ecology, Evolution, Behavior and Systematics 234
- Cellular and Molecular Neuroscience 209
- Genetics 183
- Insect Science 94
- Molecular Biology 59
Countries citing papers authored by Furong Yuan
This map shows the geographic impact of Furong Yuan'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 Furong Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Furong Yuan more than expected).
Fields of papers citing papers by Furong Yuan
This network shows the impact of papers produced by Furong Yuan. 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 Furong Yuan. The network helps show where Furong Yuan may publish in the future.
Co-authorship network of co-authors of Furong Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Furong Yuan. A scholar is included among the top collaborators of Furong Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Furong Yuan. Furong Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 19 | |
| 4 | 39 | |
| 5 | 135 | |
| 6 | 77 | |
| 7 | 124 | |
| 8 | 3 |
About Furong Yuan
Furong Yuan is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Genetics, having authored 8 papers that have together received 403 indexed citations. Recurring topics across this work include Plant and animal studies (6 papers), Neurobiology and Insect Physiology Research (4 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (234 citations), Cellular and Molecular Neuroscience (209 citations) and Insect Science (94 citations). Furong Yuan has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Adriana D. Briscoe, Jorge Llorente-Bousquets, Robert D. Reed, Seth Bybee, Chuan‐Chin Chiao, Andrew Warren, Marilou P. Sison-Mangus, Gary D. Bernard, Laura Ferguson and Krzysztof M. Kozak. Their work appears in journals such as Proceedings of the National Academy of Sciences, The American Naturalist and Molecular Biology 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.