Hang Phan

3.6k total citations · 1 hit paper
48 papers, 1.8k citations indexed

About

Hang Phan is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Hang Phan has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Infectious Diseases and 10 papers in Molecular Biology. Recurrent topics in Hang Phan's work include COVID-19 Clinical Research Studies (9 papers), Antibiotic Resistance in Bacteria (9 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Hang Phan is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), Antibiotic Resistance in Bacteria (9 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Hang Phan collaborates with scholars based in United Kingdom, Vietnam and United States. Hang Phan's co-authors include Zamin Iqbal, Iain Mathieson, Stephen R.F. Twigg, Gil McVean, Andy Rimmer, Gerton Lunter, Andrew O.M. Wilkie, Derrick W. Crook, Nicole Stoesser and Tim Peto and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Hang Phan

43 papers receiving 1.8k citations

Hit Papers

Integrating mapping-, ass... 2014 2026 2018 2022 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hang Phan 715 516 371 227 227 48 1.8k
István Nagy 1.3k 1.9× 315 0.6× 607 1.6× 324 1.4× 167 0.7× 92 3.1k
Wei-Sheng Wu 1.7k 2.4× 397 0.8× 243 0.7× 243 1.1× 134 0.6× 108 2.6k
Åsa Karlsson 1.0k 1.4× 346 0.7× 296 0.8× 344 1.5× 499 2.2× 45 2.3k
Long Sun 457 0.6× 262 0.5× 190 0.5× 154 0.7× 303 1.3× 77 1.4k
Rick Twee‐Hee Ong 537 0.8× 223 0.4× 617 1.7× 504 2.2× 344 1.5× 75 1.7k
Samuel V. Angiuoli 1.6k 2.2× 152 0.3× 352 0.9× 451 2.0× 236 1.0× 35 3.1k
Gerard J. Nau 1.6k 2.2× 157 0.3× 441 1.2× 502 2.2× 622 2.7× 63 3.7k
Ole Schulz-Trieglaff 1.8k 2.5× 141 0.3× 563 1.5× 165 0.7× 261 1.1× 18 2.8k
Dhruba J. SenGupta 1.3k 1.8× 127 0.2× 217 0.6× 372 1.6× 401 1.8× 48 2.3k
Xuhui Zhu 697 1.0× 187 0.4× 64 0.2× 165 0.7× 171 0.8× 58 1.7k

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-authorship network of co-authors of Hang Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Phan. A scholar is included among the top collaborators of Hang Phan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang Phan. Hang Phan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Mansbridge, Christopher, Kate Beard, Florina Borca, et al.. (2022). FebriDx host response point-of-care testing improves patient triage for coronavirus disease 2019 (COVID-19) in the emergency department. Infection Control and Hospital Epidemiology. 43(8). 979–986. 8 indexed citations
4.
Poole, Stephen, Vasanth V Naidu, Florina Borca, et al.. (2022). Molecular point-of-care testing for lower respiratory tract pathogens improves safe antibiotic de-escalation in patients with pneumonia in the ICU: Results of a randomised controlled trial. Journal of Infection. 85(6). 625–633. 33 indexed citations
5.
Mossotto, Enrico, James J. Ashton, Imogen S. Stafford, et al.. (2022). Evidence of a genetically driven metabolomic signature in actively inflamed Crohn’s disease. Scientific Reports. 12(1). 14101–14101. 4 indexed citations
6.
Freeman, Anna, Alastair Watson, Oskar Wysocki, et al.. (2021). Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions - Exploring the impact of treatment and strain dynamics. Journal of Clinical Virology. 146. 105031–105031. 12 indexed citations
7.
Phan, Hang, Nathan J. Brendish, Florina Borca, et al.. (2021). SARS-CoV-2 viral load at presentation to hospital is independently associated with the risk of death. Journal of Infection. 83(4). 458–466. 8 indexed citations
8.
Burke, Hannah, Ahilanandan Dushianthan, Michael Celinski, et al.. (2021). Research Evaluation Alongside Clinical Treatment in COVID-19 (REACT COVID-19): an observational and biobanking study. BMJ Open. 11(1). e043012–e043012. 13 indexed citations
9.
McDonnell, Martin B., Richard Harris, Florina Borca, et al.. (2020). High incidence of glucocorticoid-induced hyperglycaemia in inflammatory bowel disease: metabolic and clinical predictors identified by machine learning. BMJ Open Gastroenterology. 7(1). e000532–e000532. 11 indexed citations
10.
Phan, Hang, Florina Borca, David G. Cable, et al.. (2020). Automated data cleaning of paediatric anthropometric data from longitudinal electronic health records: protocol and application to a large patient cohort. Scientific Reports. 10(1). 10164–10164. 21 indexed citations
11.
Brendish, Nathan J., Stephen Poole, Vasanth V Naidu, et al.. (2020). Clinical impact of molecular point-of-care testing for suspected COVID-19 in hospital (COV-19POC): a prospective, interventional, non-randomised, controlled study. The Lancet Respiratory Medicine. 8(12). 1192–1200. 90 indexed citations
12.
Burke, Hannah, Anna Freeman, Doriana Cellura, et al.. (2020). Inflammatory phenotyping predicts clinical outcome in COVID-19. Respiratory Research. 21(1). 245–245. 67 indexed citations
13.
Downey, Louise, Richard Harris, Martin B. McDonnell, et al.. (2019). OTU-26 Data driven service evaluation of an IBD helpline. A61.1–A61.
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15.
Hassell, James M., Mandy J. Ward, Dishon Muloi, et al.. (2019). Deterministic processes structure bacterial genetic communities across an urban landscape. Nature Communications. 10(1). 2643–2643. 24 indexed citations
16.
Anson, Luke, Kevin Chau, Nicholas D. Sanderson, et al.. (2018). DNA extraction from primary liquid blood cultures for bloodstream infection diagnosis using whole genome sequencing. Journal of Medical Microbiology. 67(3). 347–357. 23 indexed citations
17.
Orlek, Alex, Hang Phan, Anna E. Sheppard, et al.. (2017). Ordering the mob: Insights into replicon and MOB typing schemes from analysis of a curated dataset of publicly available plasmids. Plasmid. 91. 42–52. 59 indexed citations
18.
Orlek, Alex, Nicole Stoesser, Muna F. Anjum, et al.. (2017). Plasmid Classification in an Era of Whole-Genome Sequencing: Application in Studies of Antibiotic Resistance Epidemiology. Frontiers in Microbiology. 8. 182–182. 143 indexed citations
19.
Stoesser, Nicole, Anna E. Sheppard, Gisele Peirano, et al.. (2017). Genomic epidemiology of global Klebsiella pneumoniae carbapenemase (KPC)-producing Escherichia coli. Scientific Reports. 7(1). 5917–5917. 81 indexed citations
20.
Rimmer, Andy, Hang Phan, Iain Mathieson, et al.. (2014). Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications. Nature Genetics. 46(8). 912–918. 606 indexed citations breakdown →

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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