Panida Chinthanom

36 total papers · 642 total citations
30 papers, 527 citations indexed

About

Panida Chinthanom is a scholar working on Pharmacology, Pharmacology and Molecular Biology. According to data from OpenAlex, Panida Chinthanom has authored 30 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pharmacology, 11 papers in Pharmacology and 8 papers in Molecular Biology. Recurrent topics in Panida Chinthanom's work include Fungal Biology and Applications (25 papers), Microbial Natural Products and Biosynthesis (21 papers) and Phytochemistry and Bioactivity Studies (10 papers). Panida Chinthanom is often cited by papers focused on Fungal Biology and Applications (25 papers), Microbial Natural Products and Biosynthesis (21 papers) and Phytochemistry and Bioactivity Studies (10 papers). Panida Chinthanom collaborates with scholars based in Thailand, China and United States. Panida Chinthanom's co-authors include Masahiko Isaka, Rattaket Choeyklin, Sumalee Supothina, Kitlada Srichomthong, Malipan Sappan, Thitiya Boonpratuang, Kannawat Danwisetkanjana, Pranee Rachtawee, Tuksaporn Thummarukcharoen and Vanicha Vichai and has published in prestigious journals such as Tetrahedron, Organic Letters and Phytochemistry.

In The Last Decade

Panida Chinthanom

29 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
Panida Chinthanom 409 187 165 99 92 30 527
Xiao-Li Yang 427 1.0× 204 1.1× 96 0.6× 112 1.1× 101 1.1× 26 611
Dong‐Bao Hu 270 0.7× 192 1.0× 86 0.5× 121 1.2× 112 1.2× 44 530
Baosong Chen 293 0.7× 179 1.0× 104 0.6× 121 1.2× 42 0.5× 30 453
Hong‐Lian Ai 351 0.9× 236 1.3× 90 0.5× 128 1.3× 94 1.0× 34 608
Kannawat Danwisetkanjana 328 0.8× 146 0.8× 77 0.5× 118 1.2× 80 0.9× 14 547
Ya‐Tuan Ma 226 0.6× 224 1.2× 62 0.4× 100 1.0× 125 1.4× 35 487
Ahmed M. Elissawy 200 0.5× 207 1.1× 68 0.4× 132 1.3× 64 0.7× 37 562
Andrey Moacir do Rosário Marinho 191 0.5× 168 0.9× 62 0.4× 152 1.5× 80 0.9× 45 509
Ming-Der Wu 181 0.4× 260 1.4× 90 0.5× 126 1.3× 51 0.6× 43 548
Bo Ding 261 0.6× 195 1.0× 73 0.4× 91 0.9× 83 0.9× 31 592

Countries citing papers authored by Panida Chinthanom

Since Specialization
Citations

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

Fields of papers citing papers by Panida Chinthanom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panida Chinthanom

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