Ryan Littlefield
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Cardiomyopathy and Myosin Studies 9
- Cardiovascular Effects of Exercise 6
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- Muscle Physiology and Disorders 5
- Co-authors
- Velia M. Fowler (7 shared papers)Angels Almenar‐Queralt (1 shared paper)Jeffrey S. Chase (2 shared papers)Henry M. Levy (2 shared papers)Edward D. Lazowska (2 shared papers)Richard L. Lieber (5 shared papers)Ju Chen (2 shared papers)Marie‐Louise Bang (2 shared papers)
- Journals
- The Journal of Cell Biology (2 papers)Biophysical Journal (2 papers)Nature Cell Biology (1 paper)Molecular Biology of the Cell (1 paper)Seminars in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Ryan Littlefield
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 627
- Hardware and Architecture 177
- Cell Biology 428
- Aging 30
- Structural Biology 14
Countries citing papers authored by Ryan Littlefield
This map shows the geographic impact of Ryan Littlefield'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 Ryan Littlefield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Littlefield more than expected).
Fields of papers citing papers by Ryan Littlefield
This network shows the impact of papers produced by Ryan Littlefield. 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 Ryan Littlefield. The network helps show where Ryan Littlefield may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Littlefield, 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 | 1989 | 211 | |
| 2 | 2001 | 190 | |
| 3 | 2006 | 168 | |
| 4 | 1998 | 120 | |
| 5 | 2008 | 93 | |
| 6 | 2004 | 75 | |
| 7 | 2009 | 73 | |
| 8 | 2010 | 71 | |
| 9 | 2009 | 60 | |
| 10 | 2002 | 54 | |
| 11 | 2008 | 26 | |
| 12 | 1989 | 15 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2010 | 1 |
About Ryan Littlefield
Ryan Littlefield is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Computer Networks and Communications and Hardware and Architecture, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (9 papers), Cardiovascular Effects of Exercise (6 papers), Muscle Physiology and Disorders (5 papers), Cellular Mechanics and Interactions (4 papers), Distributed and Parallel Computing Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Muscle activation and electromyography studies (2 papers) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (627 citations), Hardware and Architecture (177 citations), Cell Biology (428 citations), Aging (30 citations) and Structural Biology (14 citations). Ryan Littlefield has collaborated with scholars based in United States and Italy. Frequent co-authors include Velia M. Fowler, Angels Almenar‐Queralt, Jeffrey S. Chase, Henry M. Levy, Edward D. Lazowska, Richard L. Lieber, Ju Chen, Marie‐Louise Bang, Thomas D. Pollard and Brad J. Nolen. Their work appears in journals such as The Journal of Cell Biology, Biophysical Journal, Nature Cell Biology, Molecular Biology of the Cell and Seminars in Cell and Developmental Biology.
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.