Ravat Panvichian

31 total papers · 446 total citations
18 papers, 356 citations indexed

About

Ravat Panvichian is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ravat Panvichian has authored 18 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ravat Panvichian's work include HER2/EGFR in Cancer Research (5 papers), Cancer Treatment and Pharmacology (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Ravat Panvichian is often cited by papers focused on HER2/EGFR in Cancer Research (5 papers), Cancer Treatment and Pharmacology (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Ravat Panvichian collaborates with scholars based in Thailand, United States and Bangladesh. Ravat Panvichian's co-authors include Surasak Leelaudomlipi, Napat Angkathunyakul, Kenneth J. Pienta, Kim Orth, Kathleen C. Day, Mary Jo Pilat, Mark L. Day, Touch Ativitavas, T. Sirisinha and Ekaphop Sirachainan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and BioMed Research International.

In The Last Decade

Ravat Panvichian

18 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Ravat Panvichian 192 130 88 79 59 18 356
Zhongqin Gong 191 1.0× 89 0.7× 58 0.7× 119 1.5× 21 0.4× 16 342
Lucia M. Polito 138 0.7× 86 0.7× 42 0.5× 48 0.6× 36 0.6× 16 368
Sang Hyun Song 242 1.3× 82 0.6× 42 0.5× 58 0.7× 21 0.4× 22 394
Yanghui Bi 200 1.0× 73 0.6× 32 0.4× 85 1.1× 23 0.4× 25 346
Lin‐wen Wu 222 1.2× 86 0.7× 68 0.8× 81 1.0× 11 0.2× 18 377
Sarah Troutman 173 0.9× 168 1.3× 91 1.0× 70 0.9× 43 0.7× 13 360
Norifumi Kanai 138 0.7× 147 1.1× 24 0.3× 36 0.5× 24 0.4× 15 344
Yuka Takezaki 149 0.8× 74 0.6× 34 0.4× 53 0.7× 27 0.5× 17 327
Yurong Weng 215 1.1× 85 0.7× 42 0.5× 59 0.7× 26 0.4× 16 369
Li Liang 171 0.9× 80 0.6× 44 0.5× 51 0.6× 15 0.3× 23 360

Countries citing papers authored by Ravat Panvichian

Since Specialization
Citations

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

Fields of papers citing papers by Ravat Panvichian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravat Panvichian

This figure shows the co-authorship network connecting the top 25 collaborators of Ravat Panvichian. A scholar is included among the top collaborators of Ravat Panvichian 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 Ravat Panvichian. Ravat Panvichian 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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