John H. Phan
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Gene expression and cancer classification 30
- Bioinformatics and Genomic Networks 18
- Molecular Biology Techniques and Applications 16
- Genomics and Phylogenetic Studies 12
- RNA modifications and cancer 7
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- Cancer-related molecular mechanisms research 7
- Co-authors
- May D. WangSonal KothariTodd H. StokesAndrew N. YoungBrian WowkGregory M. FahyAlice Chien ChangPo-Yen Wu
- Journals
- BMC Bioinformatics (3 papers)Cryobiology (3 papers)The Journal of Heart and Lung Transplantation (2 papers)PLoS ONE (2 papers)Organogenesis (1 paper)
- Partner nations
- United StatesChinaAustria
In The Last Decade
John H. Phan
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 156
- Biophysics 185
- Artificial Intelligence 465
- Computer Vision and Pattern Recognition 257
- Cancer Research 171
- Radiology, Nuclear Medicine and Imaging 255
Countries citing papers authored by John H. Phan
This map shows the geographic impact of John H. Phan'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 John H. Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Phan more than expected).
Fields of papers citing papers by John H. Phan
This network shows the impact of papers produced by John H. Phan. 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 John H. Phan. The network helps show where John H. Phan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John H. Phan, 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 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2022 | 27 | |
| 4 | 2019 | 15 | |
| 5 | 2014 | 2 | |
| 6 | 2013 | 3 | |
| 7 | 2013 | 9 | |
| 8 | 2012 | 8 | |
| 9 | 2012 | 7 | |
| 10 | 2012 | 1 | |
| 11 | 2011 | 18 | |
| 12 | 2011 | 14 | |
| 13 | 2011 | 2 | |
| 14 | 2011 | 4 | |
| 15 | 2011 | 75 | |
| 16 | 2009 | 18 | |
| 17 | 2007 | 23 | |
| 18 | 2006 | 5 | |
| 19 | 2006 | 2 | |
| 20 | 2005 | 2 |
About John H. Phan
John H. Phan is a scholar working on Molecular Biology, Cancer Research, Structural Biology, Biophysics and Artificial Intelligence, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (30 papers), Bioinformatics and Genomic Networks (18 papers), Molecular Biology Techniques and Applications (16 papers), AI in cancer detection (13 papers), Genomics and Phylogenetic Studies (12 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (7 papers) and Digital Imaging for Blood Diseases (6 papers). The work is most often cited by research in Biophysics (185 citations), Artificial Intelligence (465 citations), Computer Vision and Pattern Recognition (257 citations), Cancer Research (171 citations) and Radiology, Nuclear Medicine and Imaging (255 citations). John H. Phan has collaborated with scholars based in United States, China and Austria. Frequent co-authors include May D. Wang, Sonal Kothari, Todd H. Stokes, Andrew N. Young, Brian Wowk, Gregory M. Fahy, Alice Chien Chang, Po-Yen Wu, Jun Wu and C. Rasch. Their work appears in journals such as BMC Bioinformatics, Cryobiology, The Journal of Heart and Lung Transplantation, PLoS ONE and Organogenesis.
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.