Tung Gia Phan

8.0k citations
158 papers · 5.8k indexed · 2 hit papers · h-index 40
Topics
Viral gastroenteritis research and epidemiology (108 papers)Animal Virus Infections Studies (68 papers)Viral Infections and Immunology Research (60 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Tung Gia Phan

155 papers receiving 5.7k citations

Hit Papers

Genetic diversity and evolution of SARS-CoV-2201620262019202220202016100200300400

Peers

Tung Gia Phan
Comparison fields: 5 of 151
  • Infectious Diseases 4.4k
  • Animal Science and Zoology 2.4k
  • Cardiology and Cardiovascular Medicine 1.9k
  • Genetics 1.2k
  • Epidemiology 911
Replace Tsutomu Kageyama with:
Tsutomu Kageyama Japan
Piet Maes Belgium
James D. Chappell United States
Shuetsu Fukushi Japan
Ulrich Desselberger United Kingdom
E O Caul United Kingdom
Baoming Jiang United States
Kim Y. Green United States
Carl D. Kirkwood Australia
Harry Vennema Netherlands
Tung Gia Phan relative to Tsutomu Kageyama Japan Tsutomu Kageyama's profile →
Citations per field
00.5×1.5×2.2×
Tsutomu Kageyama · 1×
Citations per year

Countries citing papers authored by Tung Gia Phan

Since Specialization
Citations

This map shows the geographic impact of Tung Gia 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 Tung Gia Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tung Gia Phan more than expected).

Fields of papers citing papers by Tung Gia Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tung Gia 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 Tung Gia Phan. The network helps show where Tung Gia Phan may publish in the future.

Co-authorship network of co-authors of Tung Gia Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Tung Gia Phan. A scholar is included among the top collaborators of Tung Gia 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 Tung Gia Phan. Tung Gia 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
#WorkIndexed citations
1 2
2 0
3 2
4 5
5 1
6 2
7 1
8 19
9 22
10 43
11 22
12 30
13 2
14 5
15 170
16 113
17 8
18 23
19 45
20 26

About Tung Gia Phan

Tung Gia Phan is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 158 papers that have together received 5.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (108 papers), Animal Virus Infections Studies (68 papers) and Viral Infections and Immunology Research (60 papers). The work is most often cited by research in Infectious Diseases (4.4k citations), Animal Science and Zoology (2.4k citations) and Cardiology and Cardiovascular Medicine (1.9k citations). Tung Gia Phan has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Hiroshi Ushijima, Eric Delwart, Shoko Okitsu, Xutao Deng, Niwat Maneekarn, Fumihiro Yagyu, Tuan Anh Nguyen, Beatrix Kapusinszky, Pattara Khamrin and Nguyễn Anh Tuấn. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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