D. Mark Eckley
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 2%
Papers in
-
- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 4
- Co-authors
- I. Goldberg (16 shared papers)Lior Shamir (12 shared papers)Nikita Orlov (13 shared papers)Trina A. Schroer (5 shared papers)Tomasz Macura (7 shared papers)Alastair M. Mackay (4 shared papers)William C. Earnshaw (4 shared papers)Steven R. Gill (2 shared papers)
- Journals
- The Journal of Cell Biology (6 papers)Molecular Biology of the Cell (3 papers)IEEE Transactions on Biomedical Engineering (1 paper)Advances in experimental medicine and biology (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
D. Mark Eckley
32 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 153
- Cell Biology 1.2k
- Aging 113
- Developmental Neuroscience 200
- Biophysics 294
- Molecular Biology 1.6k
Countries citing papers authored by D. Mark Eckley
This map shows the geographic impact of D. Mark Eckley'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 D. Mark Eckley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Mark Eckley more than expected).
Fields of papers citing papers by D. Mark Eckley
This network shows the impact of papers produced by D. Mark Eckley. 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 D. Mark Eckley. The network helps show where D. Mark Eckley may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Mark Eckley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 311 | |
| 2 | 1999 | 300 | |
| 3 | 2008 | 217 | |
| 4 | 2008 | 176 | |
| 5 | 2008 | 168 | |
| 6 | 2017 | 157 | |
| 7 | 2010 | 145 | |
| 8 | 2010 | 144 | |
| 9 | 1998 | 135 | |
| 10 | 1999 | 133 | |
| 11 | 1997 | 127 | |
| 12 | 2008 | 127 | |
| 13 | 2010 | 125 | |
| 14 | 2004 | 118 | |
| 15 | 2007 | 114 | |
| 16 | 2001 | 108 | |
| 17 | 1993 | 93 | |
| 18 | 2010 | 80 | |
| 19 | 2007 | 77 | |
| 20 | 2012 | 61 |
About D. Mark Eckley
D. Mark Eckley is a scholar working on Molecular Biology, Cell Biology, Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 32 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cell Image Analysis Techniques (7 papers), Image Processing Techniques and Applications (5 papers), Digital Imaging for Blood Diseases (4 papers), Cellular transport and secretion (4 papers), Chromosomal and Genetic Variations (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Cell Biology (1.2k citations), Aging (113 citations), Developmental Neuroscience (200 citations), Biophysics (294 citations) and Molecular Biology (1.6k citations). D. Mark Eckley has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include I. Goldberg, Lior Shamir, Nikita Orlov, Trina A. Schroer, Tomasz Macura, Alastair M. Mackay, William C. Earnshaw, Steven R. Gill, Josiah Johnston and Nicholas J Quintyne. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, IEEE Transactions on Biomedical Engineering, Advances in experimental medicine and biology and Pattern Recognition Letters.
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.