Jack M. Moen
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Heart Rate Variability and Autonomic Control 5
- Cardiac electrophysiology and arrhythmias 3
- Heart rate and cardiovascular health 2
- ECG Monitoring and Analysis 1
-
- RNA and protein synthesis mechanisms 2
- Co-authors
- Edward G. Lakatta (7 shared papers)Noemí Rotllán (1 shared paper)Xinbo Zhang (1 shared paper)Manuel Mayr (1 shared paper)David A. Ford (1 shared paper)Alberto Canfrán‐Duque (1 shared paper)N. Arias (1 shared paper)Nathan L. Price (1 shared paper)
- Journals
- GeroScience (3 papers)PLoS Pathogens (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Jack M. Moen
10 papers receiving 228 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 80
- Aging 7
- Cardiology and Cardiovascular Medicine 85
- Behavioral Neuroscience 9
- Molecular Biology 116
Countries citing papers authored by Jack M. Moen
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
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-authors
The 25 scholars most cited alongside Jack M. Moen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2016 | 37 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 21 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2024 | 0 |
About Jack M. Moen
Jack M. Moen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Hematology, Infectious Diseases and Nephrology, having authored 11 papers that have together received 228 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Heart rate and cardiovascular health (2 papers), RNA and protein synthesis mechanisms (2 papers), Erythropoietin and Anemia Treatment (2 papers), MicroRNA in disease regulation (1 paper), ECG Monitoring and Analysis (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Cancer Research (80 citations), Aging (7 citations), Cardiology and Cardiovascular Medicine (85 citations), Behavioral Neuroscience (9 citations) and Molecular Biology (116 citations). Jack M. Moen has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Edward G. Lakatta, Noemí Rotllán, Xinbo Zhang, Manuel Mayr, David A. Ford, Alberto Canfrán‐Duque, N. Arias, Nathan L. Price, Paramita Pati and Carlos Fernández‐Hernando. Their work appears in journals such as GeroScience, PLoS Pathogens, Nature Communications, Cell Reports and Frontiers in Neuroscience.
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.