Hang Phan
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- SARS-CoV-2 detection and testing 5
- COVID-19 Clinical Research Studies 4
-
- Antibiotic Resistance in Bacteria 8
- Co-authors
- Zamin Iqbal (3 shared papers)Andy Rimmer (1 shared paper)Andrew O.M. Wilkie (1 shared paper)Gerton Lunter (1 shared paper)Gil McVean (1 shared paper)Stephen R.F. Twigg (1 shared paper)Iain Mathieson (1 shared paper)Derrick W. Crook (11 shared papers)
- Journals
- Journal of Infection (4 papers)Journal of Antimicrobial Chemotherapy (4 papers)Scientific Reports (3 papers)BMJ Open (2 papers)Bioinformatics (1 paper)
- Partner nations
- United KingdomVietnamUnited States
In The Last Decade
Hang Phan
44 papers receiving 1.8k citations
Hang Phan's Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Medicine 514
- Endocrinology 204
- Applied Microbiology and Biotechnology 36
- Clinical Biochemistry 127
- Genetics 338
Countries citing papers authored by Hang Phan
This map shows the geographic impact of Hang 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 Hang Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Phan more than expected).
Fields of papers citing papers by Hang Phan
This network shows the impact of papers produced by Hang 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 Hang Phan. The network helps show where Hang Phan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications Hit paper breakdown → | 2014 | 618 |
| 2 | 2017 | 155 | |
| 3 | 2020 | 92 | |
| 4 | 2017 | 82 | |
| 5 | 2012 | 74 | |
| 6 | 2017 | 73 | |
| 7 | 2020 | 69 | |
| 8 | 2017 | 67 | |
| 9 | 2017 | 63 | |
| 10 | 2017 | 60 | |
| 11 | 2022 | 39 | |
| 12 | 2019 | 38 | |
| 13 | 2019 | 37 | |
| 14 | 2017 | 34 | |
| 15 | 2019 | 32 | |
| 16 | 2017 | 31 | |
| 17 | 1994 | 30 | |
| 18 | 2019 | 26 | |
| 19 | 2020 | 26 | |
| 20 | 2018 | 24 |
About Hang Phan
Hang Phan is a scholar working on Infectious Diseases, Molecular Medicine, Genetics, Molecular Biology and Surgery, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Inflammatory Bowel Disease (5 papers), SARS-CoV-2 detection and testing (5 papers), COVID-19 Clinical Research Studies (4 papers), Quantum Information and Cryptography (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Genomics and Phylogenetic Studies (3 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Molecular Medicine (514 citations), Endocrinology (204 citations), Applied Microbiology and Biotechnology (36 citations), Clinical Biochemistry (127 citations) and Genetics (338 citations). Hang Phan has collaborated with scholars based in United Kingdom, Vietnam and United States. Frequent co-authors include Zamin Iqbal, Andy Rimmer, Andrew O.M. Wilkie, Gerton Lunter, Gil McVean, Stephen R.F. Twigg, Iain Mathieson, Derrick W. Crook, Nicole Stoesser and Tim Peto. Their work appears in journals such as Journal of Infection, Journal of Antimicrobial Chemotherapy, Scientific Reports, BMJ Open and 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.