Toh‐Seok Kam

395 total papers · 6.6k total citations
187 papers, 5.7k citations indexed

About

Toh‐Seok Kam is a scholar working on Pharmacology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Toh‐Seok Kam has authored 187 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Pharmacology, 86 papers in Molecular Biology and 45 papers in Organic Chemistry. Recurrent topics in Toh‐Seok Kam's work include Alkaloids: synthesis and pharmacology (153 papers), Traditional and Medicinal Uses of Annonaceae (41 papers) and Berberine and alkaloids research (40 papers). Toh‐Seok Kam is often cited by papers focused on Alkaloids: synthesis and pharmacology (153 papers), Traditional and Medicinal Uses of Annonaceae (41 papers) and Berberine and alkaloids research (40 papers). Toh‐Seok Kam collaborates with scholars based in Malaysia, Japan and Singapore. Toh‐Seok Kam's co-authors include Kuan‐Hon Lim, Kanki Komiyama, Yeun‐Mun Choo, Kooi‐Mow Sim, Yoganathan Kanagasundaram, Yun‐Yee Low, G. Subramaniam, Masahiko Hayashi, Tuck‐Meng Lim and Takashi Koyano and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and The Journal of Organic Chemistry.

In The Last Decade

Toh‐Seok Kam

183 papers receiving 5.6k citations

Author Peers

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

Author Last Decade Papers Cites
Toh‐Seok Kam 3.7k 3.0k 1.9k 1.4k 963 187 5.7k
Norio Aimi 3.5k 0.9× 3.0k 1.0× 2.7k 1.4× 2.2k 1.6× 1.7k 1.7× 267 7.6k
Maurice Shamma 1.2k 0.3× 2.9k 1.0× 1.7k 0.9× 944 0.7× 1.3k 1.3× 313 5.2k
Xiao‐Dong Luo 2.6k 0.7× 1.4k 0.5× 3.1k 1.7× 1.2k 0.9× 1.3k 1.3× 307 6.9k
D. M. JERINA 3.0k 0.8× 1.6k 0.5× 3.5k 1.9× 1.7k 1.3× 455 0.5× 130 8.1k
Kanki Komiyama 1.2k 0.3× 2.4k 0.8× 1.9k 1.0× 522 0.4× 1.2k 1.3× 184 4.9k
Joachim Stöckigt 1.4k 0.4× 1.8k 0.6× 2.9k 1.5× 434 0.3× 1.1k 1.1× 169 4.9k
Ashok K. Prasad 968 0.3× 2.5k 0.8× 2.0k 1.1× 430 0.3× 618 0.6× 299 5.9k
Susan L. Morris‐Natschke 1.2k 0.3× 3.5k 1.2× 5.0k 2.7× 503 0.4× 1.4k 1.5× 265 9.7k
Patrick M. Dansette 3.0k 0.8× 1.2k 0.4× 1.7k 0.9× 958 0.7× 535 0.6× 146 5.8k
Ernest Wenkert 1.6k 0.4× 6.5k 2.2× 3.3k 1.8× 896 0.7× 850 0.9× 386 10.4k

Countries citing papers authored by Toh‐Seok Kam

Since Specialization
Citations

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

Fields of papers citing papers by Toh‐Seok Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toh‐Seok Kam. 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 Toh‐Seok Kam. The network helps show where Toh‐Seok Kam may publish in the future.

Co-authorship network of co-authors of Toh‐Seok Kam

This figure shows the co-authorship network connecting the top 25 collaborators of Toh‐Seok Kam. A scholar is included among the top collaborators of Toh‐Seok Kam 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 Toh‐Seok Kam. Toh‐Seok Kam 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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