Yi Wu
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Paleontology top 5%
- Evolution and Paleontology Studies
Papers in
-
- Bat Biology and Ecology Studies 38
- Ecology 22
- Wildlife Ecology and Conservation 7
- Animal Ecology and Behavior Studies 7
- Co-authors
- Masashi Harada (16 shared papers)Masaharu Motokawa (19 shared papers)Liang‐Kong Lin (9 shared papers)Masami Hasegawa (2 shared papers)Sumiko Matsumura (2 shared papers)Norihiro Okada (2 shared papers)Kuniko Kawai (2 shared papers)Masato Nikaido (2 shared papers)
In The Last Decade
Yi Wu
69 papers receiving 677 citations
Peers
Comparison fields: 5 of 84
- Ecological Modeling 167
- Paleontology 145
- Ecology, Evolution, Behavior and Systematics 364
- Virology 40
- Developmental Biology 19
Countries citing papers authored by Yi Wu
This map shows the geographic impact of Yi Wu'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 Yi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Wu more than expected).
Fields of papers citing papers by Yi Wu
This network shows the impact of papers produced by Yi Wu. 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 Yi Wu. The network helps show where Yi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Wu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 79 | |
| 2 | 2002 | 65 | |
| 3 | 2017 | 45 | |
| 4 | 2011 | 27 | |
| 5 | 2015 | 25 | |
| 6 | 2015 | 25 | |
| 7 | 2021 | 24 | |
| 8 | 2013 | 24 | |
| 9 | 2014 | 24 | |
| 10 | 2017 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2001 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2005 | 19 | |
| 15 | 2009 | 17 | |
| 16 | 2012 | 15 | |
| 17 | 2008 | 13 | |
| 18 | 2008 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2009 | 12 |
About Yi Wu
Yi Wu is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Paleontology, Ecological Modeling and Genetics, having authored 74 papers that have together received 720 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (38 papers), Evolution and Paleontology Studies (20 papers), Species Distribution and Climate Change (17 papers), Genetic diversity and population structure (9 papers), Genomics and Phylogenetic Studies (9 papers), Wildlife Ecology and Conservation (7 papers), Animal Ecology and Behavior Studies (7 papers) and Chromosomal and Genetic Variations (7 papers). The work is most often cited by research in Ecological Modeling (167 citations), Paleontology (145 citations), Ecology, Evolution, Behavior and Systematics (364 citations), Virology (40 citations) and Developmental Biology (19 citations). Yi Wu has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Masashi Harada, Masaharu Motokawa, Liang‐Kong Lin, Masami Hasegawa, Sumiko Matsumura, Norihiro Okada, Kuniko Kawai, Masato Nikaido, Yuchun Li and Wenhua Yu. Their work appears in journals such as Archives of Virology, 动物学研究, Acta Chiropterologica, Journal of Mammalogy and International Journal of Biological Sciences.
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.