Chung-Hui Yang
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 5%
Papers in
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- Neurobiology and Insect Physiology Research 21
- Genetics 12
- Insect and Arachnid Ecology and Behavior 11
- Co-authors
- Michael A. Simon (5 shared papers)Jeffrey D. Axelrod (2 shared papers)Yuh Nung Jan (5 shared papers)Lily Yeh Jan (4 shared papers)Helen McNeill (3 shared papers)Ulrich Stern (10 shared papers)Ernst Hafen (1 shared paper)Dali Ma (1 shared paper)
- Journals
- Current Biology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Development (2 papers)Nature Neuroscience (2 papers)Neuron (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Chung-Hui Yang
27 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 1.1k
- Aging 84
- Cell Biology 551
- Insect Science 310
- Ecology, Evolution, Behavior and Systematics 407
Countries citing papers authored by Chung-Hui Yang
This map shows the geographic impact of Chung-Hui Yang'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 Chung-Hui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Hui Yang more than expected).
Fields of papers citing papers by Chung-Hui Yang
This network shows the impact of papers produced by Chung-Hui Yang. 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 Chung-Hui Yang. The network helps show where Chung-Hui Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chung-Hui Yang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 308 | |
| 2 | 2008 | 280 | |
| 3 | 2003 | 268 | |
| 4 | 2009 | 228 | |
| 5 | 2006 | 165 | |
| 6 | 1997 | 153 | |
| 7 | 1994 | 150 | |
| 8 | 2017 | 77 | |
| 9 | 2013 | 72 | |
| 10 | 2014 | 59 | |
| 11 | 2015 | 54 | |
| 12 | 1999 | 52 | |
| 13 | 2017 | 45 | |
| 14 | 2014 | 43 | |
| 15 | 2015 | 41 | |
| 16 | 2021 | 39 | |
| 17 | 2005 | 32 | |
| 18 | 2019 | 30 | |
| 19 | 2015 | 25 | |
| 20 | 2016 | 23 |
About Chung-Hui Yang
Chung-Hui Yang is a scholar working on Cellular and Molecular Neuroscience, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Insect Science, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (21 papers), Insect and Arachnid Ecology and Behavior (11 papers), Animal Behavior and Reproduction (6 papers), Insect Utilization and Effects (5 papers), Developmental Biology and Gene Regulation (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Plant and animal studies (4 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Aging (84 citations), Cell Biology (551 citations), Insect Science (310 citations) and Ecology, Evolution, Behavior and Systematics (407 citations). Chung-Hui Yang has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael A. Simon, Jeffrey D. Axelrod, Yuh Nung Jan, Lily Yeh Jan, Helen McNeill, Ulrich Stern, Ernst Hafen, Dali Ma, Yang Xiang and Ananya Guntur. Their work appears in journals such as Current Biology, Proceedings of the National Academy of Sciences, Development, Nature Neuroscience and Neuron.
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.