Chotiros Daosukho

15 total papers · 674 total citations
13 papers, 578 citations indexed

About

Chotiros Daosukho is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chotiros Daosukho has authored 13 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chotiros Daosukho's work include NF-κB Signaling Pathways (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Mitochondrial Function and Pathology (3 papers). Chotiros Daosukho is often cited by papers focused on NF-κB Signaling Pathways (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Mitochondrial Function and Pathology (3 papers). Chotiros Daosukho collaborates with scholars based in United States, Thailand and Taiwan. Chotiros Daosukho's co-authors include Daret K. St. Clair, Kelley K. Kiningham, Pradoldej Sompol, Yong Xu, Bilyana Popova, Wanida Ittarat, Bert C. Lynn, Sanjit K. Dhar, Daret St. Clair and Yumin Chen and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Biochemical Journal.

In The Last Decade

Chotiros Daosukho

13 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Chotiros Daosukho	316	104	101	94	75	13	578
Minjia Zhu	296 0.9×	113 1.1×	86 0.9×	108 1.1×	38 0.5×	11	566
A. C. S. A. Herrera	206 0.7×	107 1.0×	153 1.5×	55 0.6×	62 0.8×	14	523
Mari Merentie	321 1.0×	62 0.6×	52 0.5×	192 2.0×	37 0.5×	17	546
Céline Delierneux	269 0.9×	75 0.7×	109 1.1×	37 0.4×	96 1.3×	23	595
Jérôme Terrand	316 1.0×	89 0.9×	53 0.5×	141 1.5×	93 1.2×	23	673
Calvin Yee	285 0.9×	80 0.8×	122 1.2×	34 0.4×	72 1.0×	13	669
Bong Jun Cho	324 1.0×	106 1.0×	111 1.1×	40 0.4×	36 0.5×	19	607
Rebecca A. Houliston	299 0.9×	97 0.9×	63 0.6×	83 0.9×	63 0.8×	9	534
Limin Wang	230 0.7×	184 1.8×	135 1.3×	88 0.9×	130 1.7×	15	625
Bastiano Sanna	333 1.1×	42 0.4×	136 1.3×	108 1.1×	47 0.6×	13	589

Countries citing papers authored by Chotiros Daosukho

Since Specialization

Citations

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

Fields of papers citing papers by Chotiros Daosukho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chotiros Daosukho

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