Mark H. Ellisman
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Genetics
- Cognitive Neuroscience
- Co-authors
- Thomas J. DeerinckMaryann E. MartoneDavide ComolettiGuido GaiettaAntonella De JacoRobyn FlynnPalmer TaylorIgor F. Tsigelny
- Topics
- Distributed and Parallel Computing Systems (4 papers)Ion channel regulation and function (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Cited by
- Structural BiologyAgingCell Biology
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Mark H. Ellisman
19 papers receiving 764 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 433
- Cellular and Molecular Neuroscience 206
- Cell Biology 194
- Genetics 112
- Cognitive Neuroscience 98
Countries citing papers authored by Mark H. Ellisman
This map shows the geographic impact of Mark H. Ellisman'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 H. Ellisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark H. Ellisman more than expected).
Fields of papers citing papers by Mark H. Ellisman
This network shows the impact of papers produced by Mark H. Ellisman. 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 H. Ellisman. The network helps show where Mark H. Ellisman may publish in the future.
Co-authorship network of co-authors of Mark H. Ellisman
This figure shows the co-authorship network connecting the top 25 collaborators of Mark H. Ellisman. A scholar is included among the top collaborators of Mark H. Ellisman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark H. Ellisman. Mark H. Ellisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 39 | |
| 5 | 56 | |
| 6 | Watershed Merge Tree Classification for Electron Microscopy Image Segmentation. | 31 |
| 7 | RCUK Review of e-Science 2009 | 2 |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 30 | |
| 12 | 13 | |
| 13 | 49 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 177 | |
| 17 | 27 | |
| 18 | 30 | |
| 19 | 64 | |
| 20 | 36 |
About Mark H. Ellisman
Mark H. Ellisman is a scholar working on Structural Biology, Aging and Information Systems and Management, having authored 21 papers that have together received 783 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Ion channel regulation and function (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Structural Biology (44 citations), Aging (28 citations) and Cell Biology (194 citations). Mark H. Ellisman has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Thomas J. Deerinck, Maryann E. Martone, Davide Comoletti, Guido Gaietta, Antonella De Jaco, Robyn Flynn, Palmer Taylor, Igor F. Tsigelny, Lori L. Jennings and Jennifer K. Yucel. Their work appears in journals such as Cell, Journal of Neuroscience and Journal of Molecular 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.