Jason Matzen

1.8k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Jason Matzen is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Biophysics. According to data from OpenAlex, Jason Matzen has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Biophysics. Recurrent topics in Jason Matzen's work include Mitochondrial Function and Pathology (2 papers), ATP Synthase and ATPases Research (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). Jason Matzen is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), ATP Synthase and ATPases Research (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). Jason Matzen collaborates with scholars based in United States and China. Jason Matzen's co-authors include H. Michael Petrassi, Adrienne E. Dubin, Michael Bandell, Ingo H. Engels, Andrew M. Schumacher, Bertrand Coste, Ardem Patapoutian, M Montal, Jianmin Lao and Jie Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Metabolism and Analytical Biochemistry.

In The Last Decade

Jason Matzen

8 papers receiving 1.2k citations

Hit Papers

Chemical activation of the mechanotransduction channel Pi... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jason Matzen United States 6 670 505 236 221 136 8 1.2k
Taisuke Nakayama Japan 17 382 0.6× 196 0.4× 147 0.6× 79 0.4× 50 0.4× 55 828
Shuxi Qiao United States 16 597 0.9× 162 0.3× 38 0.2× 64 0.3× 34 0.3× 18 975
Jeremy W. Chambers United States 18 650 1.0× 95 0.2× 75 0.3× 41 0.2× 49 0.4× 36 1.2k
Noor Ahmad Shaik Saudi Arabia 20 895 1.3× 113 0.2× 26 0.1× 96 0.4× 52 0.4× 109 1.7k
Osheiza Abdulmalik United States 25 794 1.2× 423 0.8× 27 0.1× 110 0.5× 14 0.1× 93 2.0k
Celeste Caruso Bavisotto Italy 24 1.3k 2.0× 164 0.3× 26 0.1× 89 0.4× 44 0.3× 57 1.7k
H.A. Lewis United States 18 1.1k 1.7× 101 0.2× 19 0.1× 346 1.6× 97 0.7× 32 1.6k
Ghita Ghislat United Kingdom 16 765 1.1× 154 0.3× 59 0.3× 46 0.2× 94 0.7× 22 1.5k
Shiying Chen China 16 1.2k 1.8× 122 0.2× 32 0.1× 34 0.2× 75 0.6× 39 1.5k
Stuart P. McElroy United Kingdom 17 462 0.7× 53 0.1× 110 0.5× 46 0.2× 65 0.5× 32 789

Countries citing papers authored by Jason Matzen

Since Specialization
Citations

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

Fields of papers citing papers by Jason Matzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Matzen

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Matzen. A scholar is included among the top collaborators of Jason Matzen 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 Jason Matzen. Jason Matzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Qiu, Minhua, Bin Zhou, Jason Matzen, et al.. (2020). A cell-level quality control workflow for high-throughput image analysis. BMC Bioinformatics. 21(1). 280–280. 4 indexed citations
2.
Brand, Martin D., Renata L.S. Goncalves, Adam L. Orr, et al.. (2016). Suppressors of Superoxide-H 2 O 2 Production at Site I Q of Mitochondrial Complex I Protect against Stem Cell Hyperplasia and Ischemia-Reperfusion Injury. Cell Metabolism. 24(4). 582–592. 170 indexed citations
3.
Orr, Adam L., Leonardo Vargas, Jason Matzen, et al.. (2015). Suppressors of superoxide production from mitochondrial complex III. Nature Chemical Biology. 11(11). 834–836. 159 indexed citations
4.
Syeda, Ruhma, Jie Xu, Adrienne E. Dubin, et al.. (2015). Chemical activation of the mechanotransduction channel Piezo1. eLife. 4. 487 indexed citations breakdown →
5.
Hu, Huiyong, Heath E. Klock, Eric Hampton, et al.. (2009). Time-resolved fluorescence resonance energy transfer and surface plasmon resonance-based assays for retinoid and transthyretin binding to retinol-binding protein 4. Analytical Biochemistry. 392(2). 162–168. 6 indexed citations
6.
Plouffe, David, Achim Brinker, Case W. McNamara, et al.. (2008). In silico activity profiling reveals the mechanism of action of antimalarials discovered in a high-throughput screen. Proceedings of the National Academy of Sciences. 105(26). 9059–9064. 325 indexed citations
7.
Adams, Deanna G., Yu Wang, Puiying A. Mak, et al.. (2008). Cellular Ser/Thr-Kinase Assays Using Generic Peptide Substrates. PubMed. 1. 54–64. 4 indexed citations
8.
Wang, Yu, Heath E. Klock, Karen C. Wolff, et al.. (2005). Homogeneous High-Throughput Screening Assays for HIV-1 Integrase 3'-Processing and Strand Transfer Activities. SLAS DISCOVERY. 10(5). 456–462. 28 indexed citations

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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