Krisada Sakchaisri

36 total papers · 981 total citations
27 papers, 774 citations indexed

About

Krisada Sakchaisri is a scholar working on Molecular Biology, Biomaterials and Cell Biology. According to data from OpenAlex, Krisada Sakchaisri has authored 27 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Biomaterials and 4 papers in Cell Biology. Recurrent topics in Krisada Sakchaisri's work include Fungal and yeast genetics research (6 papers), Nanoparticle-Based Drug Delivery (5 papers) and Microtubule and mitosis dynamics (4 papers). Krisada Sakchaisri is often cited by papers focused on Fungal and yeast genetics research (6 papers), Nanoparticle-Based Drug Delivery (5 papers) and Microtubule and mitosis dynamics (4 papers). Krisada Sakchaisri collaborates with scholars based in United States, Thailand and South Korea. Krisada Sakchaisri's co-authors include Kyung S. Lee, Jung‐Eun Park, Satoshi Asano, Timothy D. Veenstra, Li‐Rong Yu, Peter F. Johnson, Chong J. Park, Varaporn Buraphacheep Junyaprasert, Jeremy Thorner and Jiraphong Suksiriworapong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Krisada Sakchaisri

27 papers receiving 769 citations

Author Peers

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

Author Last Decade Papers Cites
Krisada Sakchaisri 560 236 86 69 65 27 774
Eun Ju Choi 397 0.7× 162 0.7× 33 0.4× 51 0.7× 97 1.5× 30 888
Ji-Hong Lim 486 0.9× 101 0.4× 58 0.7× 120 1.7× 36 0.6× 36 892
Ilora Ghosh 293 0.5× 127 0.5× 65 0.8× 55 0.8× 33 0.5× 43 748
Carlotta Zamparelli 536 1.0× 136 0.6× 51 0.6× 97 1.4× 59 0.9× 30 793
Seulgi Lee 494 0.9× 106 0.4× 129 1.5× 39 0.6× 113 1.7× 51 829
Andrea Venerando 532 0.9× 97 0.4× 42 0.5× 96 1.4× 53 0.8× 43 817
Kotaro Saga 406 0.7× 89 0.4× 63 0.7× 99 1.4× 44 0.7× 25 858
Xiaoyuan Zheng 337 0.6× 102 0.4× 252 2.9× 71 1.0× 60 0.9× 47 806
Xuan Liu 302 0.5× 200 0.8× 141 1.6× 28 0.4× 39 0.6× 24 672
Aline Pinon 294 0.5× 89 0.4× 100 1.2× 39 0.6× 54 0.8× 36 709

Countries citing papers authored by Krisada Sakchaisri

Since Specialization
Citations

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

Fields of papers citing papers by Krisada Sakchaisri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krisada Sakchaisri

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