Supinya Piampongsant

475 citations
9 papers · 317 indexed · 1 hit paper · h-index 7
Topics
HIV Research and Treatment (4 papers)HIV/AIDS drug development and treatment (4 papers)vaccines and immunoinformatics approaches (2 papers)
Partner nations
BelgiumGermanyPortugal

In The Last Decade

Supinya Piampongsant

8 papers receiving 311 citations

Hit Papers

Predicting and improving complex beer flavor through mach...2024202620252024204060

Peers

Supinya Piampongsant
Comparison fields: 5 of 77
  • Molecular Biology 119
  • Infectious Diseases 91
  • Virology 81
  • Hepatology 69
  • Epidemiology 68
Replace Fabian Elgner with:
Fabian Elgner Germany
Barbara Holstermann Germany
Guochao Wei China
Subodh Kumar Samrat United States
Marion Poenisch Germany
Lara Grollo Australia
Hong‐He Chen China
Cherelyn Vella United Kingdom
Kazuaki Monde Japan
Dongrong Yi China
Supinya Piampongsant relative to Fabian Elgner Germany Fabian Elgner's profile →
Citations per field
00.5×5.6×
Fabian Elgner · 1×
Citations per year

Countries citing papers authored by Supinya Piampongsant

Since Specialization
Citations

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

Fields of papers citing papers by Supinya Piampongsant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supinya Piampongsant. 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 Supinya Piampongsant. The network helps show where Supinya Piampongsant may publish in the future.

Co-authorship network of co-authors of Supinya Piampongsant

This figure shows the co-authorship network connecting the top 25 collaborators of Supinya Piampongsant. A scholar is included among the top collaborators of Supinya Piampongsant 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 Supinya Piampongsant. Supinya Piampongsant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Predicting and improving complex beer flavor through machine learningbreakdown →
62
2 2
3 9
4 13
5 56
6 81
7 84
8 0
9 10

About Supinya Piampongsant

Supinya Piampongsant is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 9 papers that have together received 317 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (4 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Virology (81 citations), Hepatology (69 citations) and Infectious Diseases (91 citations). Supinya Piampongsant has collaborated with scholars based in Belgium, Germany and Portugal. Frequent co-authors include Guangdi Li, Kristof Theys, Anne–Mieke Vandamme, Ricardo Khouri, Andrea-Clemencia Pineda-Peña, Lize Cuypers, Jens Verheyen, Pieter Libin, Mónica Eusébio and Nuno R. Faria. Their work appears in journals such as Nature Communications, Biotechnology for Biofuels and Viruses.

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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