Deanna Siow

24 total papers · 1.2k total citations
20 papers, 985 citations indexed

About

Deanna Siow is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cell Biology. According to data from OpenAlex, Deanna Siow has authored 20 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Cell Biology. Recurrent topics in Deanna Siow's work include Sphingolipid Metabolism and Signaling (11 papers), Lipid Membrane Structure and Behavior (4 papers) and Chemotherapy-induced organ toxicity mitigation (4 papers). Deanna Siow is often cited by papers focused on Sphingolipid Metabolism and Signaling (11 papers), Lipid Membrane Structure and Behavior (4 papers) and Chemotherapy-induced organ toxicity mitigation (4 papers). Deanna Siow collaborates with scholars based in United States, Australia and Türkiye. Deanna Siow's co-authors include Binks W. Wattenberg, Abdullah Yalçın, Brian F. Clem, Kristin K. Nelson, Jason Chesney, Amy Clem, Andrew N. Lane, Gavin E. Arteel, Sucheta Telang and Andrew J. Morris and has published in prestigious journals such as Journal of Biological Chemistry, Hepatology and Analytical Biochemistry.

In The Last Decade

Deanna Siow

19 papers receiving 972 citations

Author Peers

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

Author						Papers	Cites
Deanna Siow	695	211	164	136	123	20	985
Lida Guo	555 0.8×	231 1.1×	104 0.6×	80 0.6×	60 0.5×	23	1.1k
Zhu Jin	669 1.0×	152 0.7×	122 0.7×	121 0.9×	174 1.4×	32	1.0k
Soo Youn Choi	427 0.6×	227 1.1×	105 0.6×	138 1.0×	61 0.5×	34	868
Chang Gyo Park	821 1.2×	263 1.2×	235 1.4×	86 0.6×	78 0.6×	35	1.2k
A. Siflinger-Birnboim	512 0.7×	180 0.9×	121 0.7×	281 2.1×	48 0.4×	19	1.2k
Laure Voisin	786 1.1×	164 0.8×	88 0.5×	91 0.7×	90 0.7×	23	1.1k
Lisa Héron‐Milhavet	628 0.9×	107 0.5×	113 0.7×	149 1.1×	96 0.8×	22	911
Mayumi Komachi	977 1.4×	124 0.6×	113 0.7×	155 1.1×	107 0.9×	22	1.2k
France Bertrand	700 1.0×	88 0.4×	208 1.3×	106 0.8×	46 0.4×	22	1.1k
Nadeem Wajih	378 0.5×	190 0.9×	70 0.4×	184 1.4×	72 0.6×	31	1.2k

Countries citing papers authored by Deanna Siow

Since Specialization

Citations

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

Fields of papers citing papers by Deanna Siow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanna Siow

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