Mark E. Graham
- Molecular Biology top 5%
- Cell Biology top 1%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Co-authors
- Phillip J. RobinsonNicolai BachePhillip W. DicksonPeter R. DunkleyEllak I. von Nagy‐FelsobukiScott B. CohenRoger R. ReddelGeorge O. Lovrecz
- Topics
- Cellular transport and secretion (22 papers)Lipid Membrane Structure and Behavior (9 papers)Microtubule and mitosis dynamics (7 papers)
- Cited by
- Cell BiologyAgingMolecular Biology
- Partner nations
- AustraliaDenmarkUnited States
In The Last Decade
Mark E. Graham
55 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.4k
- Cell Biology 890
- Physiology 657
- Cellular and Molecular Neuroscience 570
- Oncology 389
Countries citing papers authored by Mark E. Graham
This map shows the geographic impact of Mark E. Graham'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 E. Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Graham more than expected).
Fields of papers citing papers by Mark E. Graham
This network shows the impact of papers produced by Mark E. Graham. 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 E. Graham. The network helps show where Mark E. Graham may publish in the future.
Co-authorship network of co-authors of Mark E. Graham
This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Graham. A scholar is included among the top collaborators of Mark E. Graham 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 E. Graham. Mark E. Graham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | Krüppel-associated box (KRAB)-associated co-repressor (KAP-1) Ser-473 phosphorylation regulates heterochromatin protein 1 (HP1- ) mobilization and DNA repair in heterochromatin | 1 |
| 10 | 107 | |
| 11 | 44 | |
| 12 | 25 | |
| 13 | 32 | |
| 14 | Protein Composition of Catalytically Active Human Telomerase from Immortal Cellsbreakdown → | 507 |
| 15 | 36 | |
| 16 | 222 | |
| 17 | 262 | |
| 18 | 80 | |
| 19 | 75 | |
| 20 | 8 |
About Mark E. Graham
Mark E. Graham is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 57 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (22 papers), Lipid Membrane Structure and Behavior (9 papers) and Microtubule and mitosis dynamics (7 papers). The work is most often cited by research in Cell Biology (890 citations), Aging (73 citations) and Molecular Biology (2.4k citations). Mark E. Graham has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include Phillip J. Robinson, Nicolai Bache, Phillip W. Dickson, Peter R. Dunkley, Ellak I. von Nagy‐Felsobuki, Scott B. Cohen, Roger R. Reddel, George O. Lovrecz, Martin R. Larsen and Larisa Bobrovskaya. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.