Jack M. Moen

538 total citations
11 papers, 228 citations indexed

About

Jack M. Moen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Hematology. According to data from OpenAlex, Jack M. Moen has authored 11 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 2 papers in Hematology. Recurrent topics in Jack M. Moen's work include Heart Rate Variability and Autonomic Control (5 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Erythropoietin and Anemia Treatment (2 papers). Jack M. Moen is often cited by papers focused on Heart Rate Variability and Autonomic Control (5 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Erythropoietin and Anemia Treatment (2 papers). Jack M. Moen collaborates with scholars based in United States, Israel and Denmark. Jack M. Moen's co-authors include Edward G. Lakatta, Ángel Baldán, Carlos Fernández‐Hernando, Alberto Canfrán‐Duque, Yajaira Suárez, Manuel Mayr, Paramita Pati, Noemí Rotllán, N. Arias and Xinbo Zhang and has published in prestigious journals such as Nature Communications, The FASEB Journal and PLoS Pathogens.

In The Last Decade

Jack M. Moen

10 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack M. Moen United States 7 116 85 80 28 26 11 228
Michael J. Lafferty United States 8 112 1.0× 84 1.0× 30 0.4× 12 0.4× 13 0.5× 13 241
Xurde M. Caravia Spain 10 244 2.1× 77 0.9× 78 1.0× 17 0.6× 84 3.2× 15 366
Cheng-Kun Du Japan 7 197 1.7× 261 3.1× 23 0.3× 11 0.4× 40 1.5× 10 370
Benzhi Cai China 6 114 1.0× 34 0.4× 58 0.7× 8 0.3× 18 0.7× 11 157
Daniel Gratz United States 10 153 1.3× 174 2.0× 34 0.4× 7 0.3× 19 0.7× 13 265
Gary Knowels United States 7 228 2.0× 31 0.4× 56 0.7× 5 0.2× 86 3.3× 7 291
Stela Florea United States 11 230 2.0× 167 2.0× 16 0.2× 17 0.6× 40 1.5× 12 328
Andrea Cocciolo Italy 4 146 1.3× 255 3.0× 26 0.3× 18 0.6× 8 0.3× 5 354
Judit Castillo‐Armengol Switzerland 6 134 1.2× 18 0.2× 48 0.6× 9 0.3× 74 2.8× 7 248

Countries citing papers authored by Jack M. Moen

Since Specialization
Citations

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

Fields of papers citing papers by Jack M. Moen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack M. Moen. 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 Jack M. Moen. The network helps show where Jack M. Moen may publish in the future.

Co-authorship network of co-authors of Jack M. Moen

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

All Works

11 of 11 papers shown
1.
Syed, Abdullah M., Alison Ciling, Irene P. Chen, et al.. (2024). SARS-CoV-2 evolution balances conflicting roles of N protein phosphorylation. PLoS Pathogens. 20(11). e1012741–e1012741. 6 indexed citations
2.
3.
Morrell, Christopher H., Jack M. Moen, Melissa Krawczyk, et al.. (2023). A small erythropoietin derived non-hematopoietic peptide reduces cardiac inflammation, attenuates age associated declines in heart function and prolongs healthspan. Frontiers in Cardiovascular Medicine. 9. 1096887–1096887. 1 indexed citations
4.
Mohler, Kyle, Jack M. Moen, Svetlana Rogulina, & Jesse Rinehart. (2023). System‐wide optimization of an orthogonal translation system with enhanced biological tolerance. Molecular Systems Biology. 19(8). e10591–e10591. 7 indexed citations
5.
Moen, Jack M., Kyle Mohler, Svetlana Rogulina, et al.. (2022). Enhanced access to the human phosphoproteome with genetically encoded phosphothreonine. Nature Communications. 13(1). 7226–7226. 9 indexed citations
6.
Moen, Jack M., Christopher H. Morrell, Ismayil Ahmet, et al.. (2022). Emergence of heartbeat frailty in advanced age I: perspectives from life-long EKG recordings in adult mice. GeroScience. 44(6). 2801–2830. 10 indexed citations
7.
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Moen, Jack M., Kirill V. Tarasov, Khalid Chakir, et al.. (2019). Overexpression of a Neuronal Type Adenylyl Cyclase (Type 8) in Sinoatrial Node Markedly Impacts Heart Rate and Rhythm. Frontiers in Neuroscience. 13. 615–615. 33 indexed citations
9.
Moen, Jack M., Melissa Krawczyk, Natalia Petrashevskaya, et al.. (2018). ARA290, A Small Non‐Hematopoietic Peptide Derived From Erythropoietin, Prolongs Healthspan And Attenuates Age‐Associated Declines In The Heart's Structure And Function. The FASEB Journal. 32(S1). 1 indexed citations
10.
Price, Nathan L., Noemí Rotllán, Alberto Canfrán‐Duque, et al.. (2017). Genetic Dissection of the Impact of miR-33a and miR-33b during the Progression of Atherosclerosis. Cell Reports. 21(5). 1317–1330. 103 indexed citations
11.

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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