Mark Greenwood
- Plant Science top 10%
- Molecular Biology
- Physiology
- Endocrine and Autonomic Systems
- Endocrinology, Diabetes and Metabolism
- Co-authors
- James LockeAnthony HallPeter GouldIsao T. TokudaMirela DomijanHannah ReesLászló Kozma‐BognárKristian E. Waters
- Topics
- Light effects on plants (7 papers)Plant Molecular Biology Research (5 papers)Adipose Tissue and Metabolism (4 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Mark Greenwood
19 papers receiving 327 citations
Peers
Comparison fields: 5 of 64
- Plant Science 177
- Molecular Biology 145
- Physiology 57
- Endocrine and Autonomic Systems 49
- Endocrinology, Diabetes and Metabolism 29
Countries citing papers authored by Mark Greenwood
This map shows the geographic impact of Mark Greenwood'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 Greenwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Greenwood more than expected).
Fields of papers citing papers by Mark Greenwood
This network shows the impact of papers produced by Mark Greenwood. 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 Greenwood. The network helps show where Mark Greenwood may publish in the future.
Co-authorship network of co-authors of Mark Greenwood
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Greenwood. A scholar is included among the top collaborators of Mark Greenwood 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 Greenwood. Mark Greenwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 4 | |
| 3 | 36 | |
| 4 | 15 | |
| 5 | 26 | |
| 6 | 4 | |
| 7 | 78 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 22 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | Non-oscillatory free Ca2+ response of single B cells and WEHI-231 cells after cross-linking of antigen receptors with anti-immunoglobulin. | 2 |
| 16 | 4 | |
| 17 | The relationship of enzyme activity to feeding behavior in rats: lipoprotein lipase as the metabolic gatekeeper. | 74 |
| 18 | 9 | |
| 19 | Adipoblasts from the Zucker fafa rat. | 2 |
About Mark Greenwood
Mark Greenwood is a scholar working on Endocrine and Autonomic Systems, Plant Science and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 332 indexed citations. Recurring topics across this work include Light effects on plants (7 papers), Plant Molecular Biology Research (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (49 citations), Plant Science (177 citations) and Physiology (57 citations). Mark Greenwood has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include James Locke, Anthony Hall, Peter Gould, Isao T. Tokuda, Mirela Domijan, Hannah Rees, László Kozma‐Bognár, Kristian E. Waters, R. Savard and P H Cobbold. Their work appears in journals such as Journal of Applied Physiology, PLoS Biology and European Journal of Immunology.
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.