Supakarn Chamni

1.1k citations
56 papers · 726 · h-index 18

Impact in

Papers in

Supakarn Chamni

50 papers receiving 723 citations

Peers

Supakarn Chamni
Comparison fields: 5 of 94
  • Biotechnology 157
  • Cancer Research 210
  • Pharmacology 200
  • Toxicology 36
  • Pharmaceutical Science 45
Replace Claire M. Pfeffer with:
Claire M. Pfeffer United States
Shian‐Ren Lin Taiwan
Dilip M. Mondhe India
Marie-Hélène Teiten Luxembourg
Kuan‐Han Lee Taiwan
Ahmed H.E. Hassan Egypt
Changqi Zhao China
Imad Naasani Japan
Chong Ock Lee South Korea
Supakarn Chamni relative to Claire M. Pfeffer United States Claire M. Pfeffer's profile →
Citations per field
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Claire M. Pfeffer · 1×
Citations per year

Countries citing papers authored by Supakarn Chamni

Since Specialization
Citations

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

Fields of papers citing papers by Supakarn Chamni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Supakarn Chamni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Supakarn Chamni Line = papers co-authored together Supakarn Chamni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201662
2 202037
3 201831
4
Renieramycin M Sensitizes Anoikis-resistant H460 Lung Cancer Cells to Anoikis.
201628
5 202225
6 201925
7 201724
8 201923
9 201923
10 201922
11 201622
12 201321
13 201420
14 201820
15 201719
16 202319
17 202219
18 202418
19 200817
20 202116

About Supakarn Chamni

Supakarn Chamni is a scholar working on Cancer Research, Pharmacology, Biotechnology, Organic Chemistry and Molecular Biology, having authored 56 papers that have together received 726 indexed citations. Recurring topics across this work include Synthesis and Biological Activity (21 papers), Marine Sponges and Natural Products (17 papers), Microbial Natural Products and Biosynthesis (15 papers), Bioactive Compounds and Antitumor Agents (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Synthesis and Biological Evaluation (4 papers), Medicinal Plants and Neuroprotection (4 papers) and Quinazolinone synthesis and applications (3 papers). The work is most often cited by research in Biotechnology (157 citations), Cancer Research (210 citations), Pharmacology (200 citations), Toxicology (36 citations) and Pharmaceutical Science (45 citations). Supakarn Chamni has collaborated with scholars based in Thailand, Japan and China. Frequent co-authors include Pithi Chanvorachote, Khanit Suwanborirux, Naoki Saito, Thanyada Rungrotmongkol, Wanchai De‐Eknamkul, Panupong Mahalapbutr, Chatchai Chaotham, Daniel Romo, Prasit Pavasant and Piyamas Sumrejkanchanakij. Their work appears in journals such as Marine Drugs, Scientific Reports, Molecules, Anticancer Research and Journal of Natural Products.

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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