John H. Phan
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- Gene expression and cancer classification 29
- Bioinformatics and Genomic Networks 18
- Molecular Biology Techniques and Applications 15
- Genomics and Phylogenetic Studies 12
- RNA modifications and cancer 7
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- AI in cancer detection 13
- Co-authors
- May D. Wang (60 shared papers)Sonal Kothari (9 shared papers)Todd H. Stokes (10 shared papers)Gregory M. Fahy (4 shared papers)Andrew N. Young (14 shared papers)Brian Wowk (4 shared papers)Alice Chien Chang (2 shared papers)Po-Yen Wu (15 shared papers)
- Journals
- Cryobiology (3 papers)BMC Bioinformatics (3 papers)PLoS ONE (2 papers)The Journal of Heart and Lung Transplantation (2 papers)Briefings in Bioinformatics (1 paper)
- Partner nations
- United StatesChinaUganda
In The Last Decade
John H. Phan
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 154
- Biophysics 166
- Artificial Intelligence 435
- Computer Vision and Pattern Recognition 234
- Radiology, Nuclear Medicine and Imaging 231
- Cancer Research 137
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-authors
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
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 249 | |
| 2 | 2013 | 187 | |
| 3 | 2009 | 138 | |
| 4 | 2014 | 119 | |
| 5 | 2010 | 83 | |
| 6 | 2015 | 82 | |
| 7 | 2011 | 75 | |
| 8 | 2013 | 55 | |
| 9 | 2009 | 53 | |
| 10 | 2018 | 51 | |
| 11 | 2013 | 49 | |
| 12 | 2013 | 48 | |
| 13 | 2013 | 47 | |
| 14 | 2012 | 46 | |
| 15 | 2012 | 37 | |
| 16 | 2013 | 33 | |
| 17 | 2022 | 31 | |
| 18 | 2013 | 26 | |
| 19 | 2007 | 23 | |
| 20 | 2006 | 23 |
About John H. Phan
John H. Phan is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Computer Vision and Pattern Recognition and Surgery, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (29 papers), Bioinformatics and Genomic Networks (18 papers), Molecular Biology Techniques and Applications (15 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 (5 papers). The work is most often cited by research in Biophysics (166 citations), Artificial Intelligence (435 citations), Computer Vision and Pattern Recognition (234 citations), Radiology, Nuclear Medicine and Imaging (231 citations) and Cancer Research (137 citations). John H. Phan has collaborated with scholars based in United States, China and Uganda. Frequent co-authors include May D. Wang, Sonal Kothari, Todd H. Stokes, Gregory M. Fahy, Andrew N. Young, Brian Wowk, Alice Chien Chang, Po-Yen Wu, Jun Wu and Ying Sha. Their work appears in journals such as Cryobiology, BMC Bioinformatics, PLoS ONE, The Journal of Heart and Lung Transplantation and Briefings in 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.