Chris S. Pridgeon

17 total papers · 529 total citations
9 papers, 266 citations indexed

About

Chris S. Pridgeon is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Chris S. Pridgeon has authored 9 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Physiology. Recurrent topics in Chris S. Pridgeon's work include Drug-Induced Hepatotoxicity and Protection (2 papers), 3D Printing in Biomedical Research (2 papers) and Pluripotent Stem Cells Research (2 papers). Chris S. Pridgeon is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (2 papers), 3D Printing in Biomedical Research (2 papers) and Pluripotent Stem Cells Research (2 papers). Chris S. Pridgeon collaborates with scholars based in Finland, United Kingdom and Sweden. Chris S. Pridgeon's co-authors include Magnus Ingelman‐Sundberg, Riina Harjumäki, Christopher E. Goldring, Stephen M. Lynch, Carrie A. Duckworth, Parveen Sharma, Inger Johansson, Marjo Yliperttula, Saara Laitinen and Raili Koivuniemi and has published in prestigious journals such as Scientific Reports, Biochemical Journal and Journal of Controlled Release.

In The Last Decade

Chris S. Pridgeon

9 papers receiving 263 citations

Hit Papers

CYP2E1 in Alcoholic and N... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Chris S. Pridgeon 75 66 59 48 41 9 266
Yanan Ming 64 0.9× 86 1.3× 89 1.5× 13 0.3× 45 1.1× 13 287
Amal M. H. Ghanim 27 0.4× 59 0.9× 120 2.0× 42 0.9× 41 1.0× 12 309
Zuzana Nová 81 1.1× 51 0.8× 116 2.0× 27 0.6× 12 0.3× 11 312
Harriet Gaskell 29 0.4× 87 1.3× 77 1.3× 29 0.6× 31 0.8× 7 285
Shasha Hou 57 0.8× 39 0.6× 194 3.3× 22 0.5× 17 0.4× 14 317
Shunsuke Shiba 67 0.9× 118 1.8× 59 1.0× 25 0.5× 20 0.5× 14 253
Blanca Cucarull 61 0.8× 67 1.0× 148 2.5× 37 0.8× 9 0.2× 10 327
Graham Bay 36 0.5× 65 1.0× 114 1.9× 15 0.3× 19 0.5× 9 329
C. Blasco 24 0.3× 40 0.6× 101 1.7× 50 1.0× 21 0.5× 9 221
Peilun Ding 71 0.9× 36 0.5× 151 2.6× 18 0.4× 16 0.4× 11 306

Countries citing papers authored by Chris S. Pridgeon

Since Specialization
Citations

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

Fields of papers citing papers by Chris S. Pridgeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris S. Pridgeon. 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 Chris S. Pridgeon. The network helps show where Chris S. Pridgeon may publish in the future.

Co-authorship network of co-authors of Chris S. Pridgeon

This figure shows the co-authorship network connecting the top 25 collaborators of Chris S. Pridgeon. A scholar is included among the top collaborators of Chris S. Pridgeon 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 Chris S. Pridgeon. Chris S. Pridgeon 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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