D. Mark Eckley
- Cell Biology top 1%
- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 4
- Aging top 2%
- Biophysics top 1%
- Cell Image Analysis Techniques 7
- Developmental Neuroscience top 2%
- Molecular Biology top 5%
- Genetics, Bioinformatics, and Biomedical Research 4
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- Image Processing Techniques and Applications 6
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- Digital Imaging for Blood Diseases 4
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- Chromosomal and Genetic Variations 4
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- AI in cancer detection 3
- Co-authors
- I. GoldbergLior ShamirNikita OrlovTrina A. SchroerTomasz MacuraWilliam C. EarnshawAlastair M. MackaySteven R. Gill
- Cited by
- Cell BiologyAgingBiophysics
- Journals
- The Journal of Cell Biology (6 papers)Molecular Biology of the Cell (3 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
D. Mark Eckley
32 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 152
- Cell Biology 1.1k
- Aging 115
- Biophysics 285
- Developmental Neuroscience 194
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 150 | |
| 2 | WND-CHARM: Multi-purpose image classifier | 2013 | 6 |
| 3 | 2012 | 57 | |
| 4 | 2012 | 9 | |
| 5 | 2012 | 10 | |
| 6 | 2011 | 3 | |
| 7 | 2010 | 138 | |
| 8 | 2010 | 71 | |
| 9 | 2008 | 53 | |
| 10 | 2008 | 154 | |
| 11 | 2008 | 107 | |
| 12 | 2008 | 194 | |
| 13 | 2008 | 150 | |
| 14 | 2007 | 71 | |
| 15 | 2007 | 109 | |
| 16 | 2004 | 116 | |
| 17 | 2003 | 30 | |
| 18 | 2002 | 295 | |
| 19 | 2001 | 104 | |
| 20 | 1987 | 25 |
About D. Mark Eckley
D. Mark Eckley is a scholar working on Aging, Biophysics and Developmental Neuroscience, having authored 32 papers that have together received 2.9k 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 (6 papers), Digital Imaging for Blood Diseases (4 papers), Cellular transport and secretion (4 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Chromosomal and Genetic Variations (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Cell Biology (1.1k citations), Aging (115 citations) and Biophysics (285 citations). D. Mark Eckley has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include I. Goldberg, Lior Shamir, Nikita Orlov, Trina A. Schroer, Tomasz Macura, William C. Earnshaw, Alastair M. Mackay, Steven R. Gill, Nicholas J Quintyne and Josiah Johnston. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Scientific Reports, Advances in experimental medicine and biology and Journal of 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.