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, Gil McVean, Andrew O.M. Wilkie, Stephen R.F. Twigg, Andy Rimmer, Gerton Lunter, Iain Mathieson, 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-, assembly- and haplotype-based appro... 2014 2026 2018 2022 2014 200 400 600

Peers

Hang Phan
Comparison fields: 5 of 142
  • Molecular Biology 715
  • Molecular Medicine 516
  • Genetics 371
  • Epidemiology 227
  • Infectious Diseases 227
Replace István Nagy with:
István Nagy Hungary
Wei-Sheng Wu Taiwan
Åsa Karlsson Sweden
Long Sun China
Rick Twee‐Hee Ong Singapore
Samuel V. Angiuoli United States
Gerard J. Nau United States
Ole Schulz-Trieglaff Germany
Dhruba J. SenGupta United States
Xuhui Zhu China
István Nagy Hungary View profile →
Citations per field, relative to Hang Phan
Hang Phan · 1×
Citations per year, relative to Hang Phan
Hang Phan · 1×

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
# Work Indexed citations
1 0
2 1
3 8
4 33
5 4
6 3
7 13
8 4
9 12
10 11
11 21
12 0
13 2
14 24
15 0
16 23
17 59
18 143
19
Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications breakdown →
606
20 27

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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