David Mark Eckley
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 2%
Papers in
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- Cell Image Analysis Techniques 7
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- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 4
- Co-authors
- I. Goldberg (16 shared papers)Lior Shamir (12 shared papers)Nikita V. Orlov (13 shared papers)Tomasz J. Macura (7 shared papers)Trina A. Schroer (5 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)Biochemistry (1 paper)Cell (1 paper)Chromosoma (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
David Mark Eckley
33 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 153
- Cell Biology 1.2k
- Aging 115
- Developmental Neuroscience 202
- Biophysics 304
- Molecular Biology 1.7k
Countries citing papers authored by David Mark Eckley
This map shows the geographic impact of David 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 David 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 David Mark Eckley more than expected).
Fields of papers citing papers by David Mark Eckley
This network shows the impact of papers produced by David 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 David Mark Eckley. The network helps show where David Mark Eckley may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 311 | |
| 2 | 1999 | 305 | |
| 3 | 2008 | 225 | |
| 4 | 2008 | 180 | |
| 5 | 2008 | 178 | |
| 6 | 2017 | 166 | |
| 7 | 2010 | 147 | |
| 8 | 2010 | 145 | |
| 9 | 2010 | 137 | |
| 10 | 1999 | 136 | |
| 11 | 1998 | 133 | |
| 12 | 2008 | 131 | |
| 13 | 1997 | 124 | |
| 14 | 2004 | 117 | |
| 15 | 2007 | 116 | |
| 16 | 2001 | 110 | |
| 17 | 1993 | 92 | |
| 18 | 2010 | 85 | |
| 19 | 2016 | 78 | |
| 20 | 2007 | 77 |
About David Mark Eckley
David Mark Eckley is a scholar working on Biophysics, Cell Biology, Media Technology, Aging and Molecular Biology, having authored 33 papers that have together received 3.2k 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), Chromosomal and Genetic Variations (4 papers), Cellular transport and secretion (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cell Biology (1.2k citations), Aging (115 citations), Developmental Neuroscience (202 citations), Biophysics (304 citations) and Molecular Biology (1.7k citations). David Mark Eckley has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include I. Goldberg, Lior Shamir, Nikita V. Orlov, Tomasz J. Macura, Trina A. Schroer, 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, Biochemistry, Cell and Chromosoma.
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.