Chi-Sang Poon
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Muneesh TewariAndrew C. AhnRussell S. PhillipsMark F. BearHarel Z. ShouvalMarina S. SiniaiaEliot S. KatzNatalia M. Arzeno
- Topics
- Neural dynamics and brain function (5 papers)Advanced Memory and Neural Computing (4 papers)Neuroscience of respiration and sleep (3 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS MedicineAdvances in experimental medicine and biology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chi-Sang Poon
10 papers receiving 567 citations
Peers
Comparison fields: 5 of 121
- Electrical and Electronic Engineering 167
- Cellular and Molecular Neuroscience 124
- Molecular Biology 118
- Cognitive Neuroscience 105
- Endocrine and Autonomic Systems 81
Countries citing papers authored by Chi-Sang Poon
This map shows the geographic impact of Chi-Sang Poon'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 Chi-Sang Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Sang Poon more than expected).
Fields of papers citing papers by Chi-Sang Poon
This network shows the impact of papers produced by Chi-Sang Poon. 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 Chi-Sang Poon. The network helps show where Chi-Sang Poon may publish in the future.
Co-authorship network of co-authors of Chi-Sang Poon
This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Sang Poon. A scholar is included among the top collaborators of Chi-Sang Poon 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 Chi-Sang Poon. Chi-Sang Poon 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 | 11 | |
| 3 | 166 | |
| 4 | 11 | |
| 5 | 318 | |
| 6 | 26 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 50 | |
| 10 | 6 | |
| 11 | 6 |
About Chi-Sang Poon
Chi-Sang Poon is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 597 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (4 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (81 citations), Cellular and Molecular Neuroscience (124 citations) and Cognitive Neuroscience (105 citations). Chi-Sang Poon has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Muneesh Tewari, Andrew C. Ahn, Russell S. Phillips, Mark F. Bear, Harel Z. Shouval, Marina S. Siniaia, Eliot S. Katz, Natalia M. Arzeno, Zhi‐De Deng and Chung Tin. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Medicine and Advances in experimental medicine and biology.
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.