Mark T. Handley
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
- Calcium signaling and nucleotide metabolism
Papers in
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- Lipid Membrane Structure and Behavior 3
- RNA regulation and disease 2
- RNA modifications and cancer 2
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- Cellular transport and secretion 8
- Microtubule and mitosis dynamics 2
- Co-authors
- Robert D. Burgoyne (5 shared papers)Irene A. Aligianis (5 shared papers)Sarah M. Carpanini (3 shared papers)Lee P. Haynes (1 shared paper)Lu‐Yun Lian (1 shared paper)Graham J. Dockray (1 shared paper)Ricardo Bastos (1 shared paper)Jeff W. Barclay (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)PLoS ONE (1 paper)Nucleic Acids Research (1 paper)Disease Models & Mechanisms (1 paper)Wiley Interdisciplinary Reviews - RNA (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Mark T. Handley
14 papers receiving 565 citations
Peers
Comparison fields: 5 of 65
- Cell Biology 285
- Physiology 43
- Biochemistry 44
- Aging 8
- Molecular Biology 294
Countries citing papers authored by Mark T. Handley
This map shows the geographic impact of Mark T. Handley'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 Mark T. Handley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Handley more than expected).
Fields of papers citing papers by Mark T. Handley
This network shows the impact of papers produced by Mark T. Handley. 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 Mark T. Handley. The network helps show where Mark T. Handley may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark T. Handley, 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 | 2014 | 109 | |
| 2 | 2005 | 82 | |
| 3 | 2010 | 61 | |
| 4 | 2007 | 57 | |
| 5 | 2007 | 49 | |
| 6 | 2009 | 42 | |
| 7 | 2014 | 36 | |
| 8 | 2015 | 34 | |
| 9 | 2017 | 25 | |
| 10 | 2012 | 23 | |
| 11 | 2008 | 18 | |
| 12 | 2014 | 15 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 5 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About Mark T. Handley
Mark T. Handley is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Physiology, having authored 16 papers that have together received 567 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Erythrocyte Function and Pathophysiology (5 papers), Lipid Membrane Structure and Behavior (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Microtubule and mitosis dynamics (2 papers), RNA regulation and disease (2 papers), RNA modifications and cancer (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cell Biology (285 citations), Physiology (43 citations), Biochemistry (44 citations), Aging (8 citations) and Molecular Biology (294 citations). Mark T. Handley has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Robert D. Burgoyne, Irene A. Aligianis, Sarah M. Carpanini, Lee P. Haynes, Lu‐Yun Lian, Lee P. Haynes, Graham J. Dockray, Ricardo Bastos, Jeff W. Barclay and Francis A. Barr. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Nucleic Acids Research, Disease Models & Mechanisms and Wiley Interdisciplinary Reviews - RNA.
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.