Ricky Kwan
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Molecular Biology Techniques and Applications 2
- Lipid Membrane Structure and Behavior 1
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- AI in cancer detection 2
- Co-authors
- Tomás Fernández-Alfonso (1 shared paper)Timothy A. Ryan (1 shared paper)Carlos Cordon‐Cardo (3 shared papers)Joseph Tripodi (1 shared paper)Juan C. Hernandez‐Prera (1 shared paper)Simion I. Chiosea (1 shared paper)Vesna Najfeld (1 shared paper)Elizabeth G. Demicco (1 shared paper)
- Journals
- Journal of Pathology Informatics (2 papers)Nature Communications (1 paper)Head & Neck (1 paper)Neuron (1 paper)Journal of Histotechnology (1 paper)
- Partner nations
- United StatesNetherlandsSweden
In The Last Decade
Ricky Kwan
5 papers receiving 214 citations
Ricky Kwan's Hit Papers
Peers
Comparison fields: 5 of 39
- Cell Biology 125
- Cellular and Molecular Neuroscience 106
- Molecular Biology 134
- Physiology 9
- Biophysics 11
Countries citing papers authored by Ricky Kwan
This map shows the geographic impact of Ricky Kwan'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 Ricky Kwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricky Kwan more than expected).
Fields of papers citing papers by Ricky Kwan
This network shows the impact of papers produced by Ricky Kwan. 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 Ricky Kwan. The network helps show where Ricky Kwan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ricky Kwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 160 | |
| 2 | A clinical benchmark of public self-supervised pathology foundation models Hit paper breakdown → | 2025 | 26 |
| 3 | 2016 | 24 | |
| 4 | 2021 | 5 | |
| 5 | 2012 | 1 | |
| 6 | 2022 | 0 |
About Ricky Kwan
Ricky Kwan is a scholar working on Molecular Biology, Artificial Intelligence, Surgery, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 216 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper), Lipid Membrane Structure and Behavior (1 paper), Cellular transport and secretion (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cell Biology (125 citations), Cellular and Molecular Neuroscience (106 citations), Molecular Biology (134 citations), Physiology (9 citations) and Biophysics (11 citations). Ricky Kwan has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Tomás Fernández-Alfonso, Timothy A. Ryan, Carlos Cordon‐Cardo, Joseph Tripodi, Juan C. Hernandez‐Prera, Simion I. Chiosea, Vesna Najfeld, Elizabeth G. Demicco, Shengjia Chen and Aryeh Stock. Their work appears in journals such as Journal of Pathology Informatics, Nature Communications, Head & Neck, Neuron and Journal of Histotechnology.
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.