Hang Phan

44 papers receiving 1.8k citations

Hang Phan's Hit Papers

Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications 2014 · 611 citations
6110+4+8Years since publication200400600

Peers

Hang Phan
Comparison fields: 5 of 138
  • Molecular Medicine 504
  • Endocrinology 199
  • Applied Microbiology and Biotechnology 36
  • Clinical Biochemistry 126
  • Genetics 334
Replace István Nagy with:
István Nagy Hungary
Wei-Sheng Wu Taiwan
Åsa Karlsson Sweden
Long Sun China
Xuhui Zhu China
Dhruba J. SenGupta United States
Erin E. Gill Canada
Un‐Hwan Ha South Korea
S. H. Hinrichs United States
Hiroo Hasegawa Japan
Hang Phan relative to István Nagy Hungary István Nagy's profile →
Citations per field
00.5×2.7×
István Nagy · 1×
Citations per year

Countries citing papers authored by Hang Phan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hang Phan Line = papers co-authored together Hang Phan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2014611
2 2017144
3 202090
4 201782
5 201772
6 202068
7 201267
8 201767
9 201760
10 201759
11 202239
12 201938
13 201937
14 201733
15 201931
16 201730
17 199427
18 201925
19 202025
20 202024

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 1.8k 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 (504 citations), Endocrinology (199 citations), Applied Microbiology and Biotechnology (36 citations), Clinical Biochemistry (126 citations) and Genetics (334 citations). Hang Phan has collaborated with scholars based in United Kingdom, Vietnam and United States. Frequent co-authors include Zamin Iqbal, Stephen R.F. Twigg, Iain Mathieson, Gil McVean, Gerton Lunter, Andrew O.M. Wilkie, Andy Rimmer, Derrick W. Crook, Nicole Stoesser and Tim Peto. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Infection, Scientific Reports, BMJ Open and BMJ Open Gastroenterology.

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.

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