Eric Hwang
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
Papers in
- Cell Biology 10
- Microtubule and mitosis dynamics 7
- Cellular Mechanics and Interactions 4
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- Neuroscience and Neural Engineering 4
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Tim C. Huffaker (2 shared papers)Justine Kusch (1 shared paper)Yves Barral (1 shared paper)Tzai-Wen Chiu (2 shared papers)Phasit Charoenkwan (2 shared papers)Shinn‐Ying Ho (2 shared papers)Huan‐Cheng Chang (2 shared papers)Hui-Ling Huang (1 shared paper)
- Journals
- Scientific Reports (3 papers)Neuroscience (2 papers)ACS Nano (2 papers)eLife (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Eric Hwang
26 papers receiving 837 citations
Peers
Comparison fields: 5 of 82
- Cell Biology 303
- Sensory Systems 76
- Biophysics 80
- Cellular and Molecular Neuroscience 204
- Developmental Neuroscience 34
Countries citing papers authored by Eric Hwang
This map shows the geographic impact of Eric Hwang'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 Eric Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Hwang more than expected).
Fields of papers citing papers by Eric Hwang
This network shows the impact of papers produced by Eric Hwang. 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 Eric Hwang. The network helps show where Eric Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Hwang, 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 | 2003 | 157 | |
| 2 | 2011 | 121 | |
| 3 | 2007 | 92 | |
| 4 | 2014 | 68 | |
| 5 | 2006 | 63 | |
| 6 | 2014 | 63 | |
| 7 | 2011 | 56 | |
| 8 | 2011 | 39 | |
| 9 | 2017 | 30 | |
| 10 | 2025 | 25 | |
| 11 | 2018 | 25 | |
| 12 | Budding yeast Cdc20 | 1998 | 18 |
| 13 | 2013 | 18 | |
| 14 | 2011 | 17 | |
| 15 | 2013 | 17 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2021 | 3 |
About Eric Hwang
Eric Hwang is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Biophysics, Molecular Biology and Immunology and Allergy, having authored 28 papers that have together received 853 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Neuroscience and Neural Engineering (4 papers), Cellular Mechanics and Interactions (4 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Cell Image Analysis Techniques (3 papers), Cancer-related Molecular Pathways (3 papers) and Graphene and Nanomaterials Applications (3 papers). The work is most often cited by research in Cell Biology (303 citations), Sensory Systems (76 citations), Biophysics (80 citations), Cellular and Molecular Neuroscience (204 citations) and Developmental Neuroscience (34 citations). Eric Hwang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Tim C. Huffaker, Justine Kusch, Yves Barral, Tzai-Wen Chiu, Phasit Charoenkwan, Shinn‐Ying Ho, Huan‐Cheng Chang, Hui-Ling Huang, Jui‐I Chao and Kuang‐Kai Liu. Their work appears in journals such as Scientific Reports, Neuroscience, ACS Nano, eLife and BMC Bioinformatics.
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.