Viravan Prapapanich

14 total papers · 2.0k total citations
13 papers, 1.7k citations indexed

About

Viravan Prapapanich is a scholar working on Molecular Biology, Immunology and Small Animals. According to data from OpenAlex, Viravan Prapapanich has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 3 papers in Small Animals. Recurrent topics in Viravan Prapapanich's work include Heat shock proteins research (11 papers), Toxin Mechanisms and Immunotoxins (7 papers) and Signaling Pathways in Disease (3 papers). Viravan Prapapanich is often cited by papers focused on Heat shock proteins research (11 papers), Toxin Mechanisms and Immunotoxins (7 papers) and Signaling Pathways in Disease (3 papers). Viravan Prapapanich collaborates with scholars based in United States, Switzerland and Poland. Viravan Prapapanich's co-authors include David F. Smith, Ronald A. Rimerman, Joyce Cheung‐Flynn, Shiying Chen, David F. Smith, Satish Chandrasekhar Nair, Daniel L. Riggs, Marc B. Cox, Luke Whitesell and Patricia J. Roberts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

Viravan Prapapanich

13 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Viravan Prapapanich 1.4k 562 193 191 168 13 1.7k
Ronald A. Rimerman 1.7k 1.3× 466 0.8× 103 0.5× 170 0.9× 217 1.3× 29 2.1k
Kurt D. Dittmar 1.1k 0.8× 332 0.6× 139 0.7× 179 0.9× 97 0.6× 12 1.3k
Friedrich C. Dalman 992 0.7× 175 0.3× 354 1.8× 532 2.8× 75 0.4× 16 1.3k
Robert M. Riehl 615 0.4× 228 0.4× 162 0.8× 242 1.3× 56 0.3× 32 1.3k
Jennifer M. Harrell 1.0k 0.8× 151 0.3× 103 0.5× 122 0.6× 178 1.1× 14 1.3k
Welch Wj 1.3k 1.0× 134 0.2× 125 0.6× 263 1.4× 317 1.9× 15 1.7k
Sumudra Periyasamy 850 0.6× 227 0.4× 106 0.5× 158 0.8× 59 0.4× 27 1.6k
J A Wells 1.1k 0.8× 196 0.3× 624 3.2× 486 2.5× 101 0.6× 10 1.9k
Jurre Hageman 1.8k 1.3× 206 0.4× 54 0.3× 97 0.5× 588 3.5× 17 2.3k
Bridget Stensgard 1.6k 1.1× 366 0.7× 37 0.2× 107 0.6× 174 1.0× 17 1.8k

Countries citing papers authored by Viravan Prapapanich

Since Specialization
Citations

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

Fields of papers citing papers by Viravan Prapapanich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viravan Prapapanich

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

All Works

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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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