Martin J. Cann
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Reproductive Medicine top 2%
- Public Health, Environmental and Occupational Health top 5%
- Spectroscopy top 5%
- Co-authors
- Lonny R. LevinJochen BuckDavid ParkerVadim IourgenkoTatiana N. LitvinYanqiu ChenRobert A. PooleRóbert Pál
- Topics
- Protein Structure and Dynamics (6 papers)Enzyme Structure and Function (6 papers)Photosynthetic Processes and Mechanisms (6 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Martin J. Cann
52 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.4k
- Materials Chemistry 619
- Reproductive Medicine 346
- Public Health, Environmental and Occupational Health 317
- Spectroscopy 285
Countries citing papers authored by Martin J. Cann
This map shows the geographic impact of Martin J. Cann'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 Martin J. Cann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Cann more than expected).
Fields of papers citing papers by Martin J. Cann
This network shows the impact of papers produced by Martin J. Cann. 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 Martin J. Cann. The network helps show where Martin J. Cann may publish in the future.
Co-authorship network of co-authors of Martin J. Cann
This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Cann. A scholar is included among the top collaborators of Martin J. Cann 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 Martin J. Cann. Martin J. Cann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 14 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 20 | |
| 8 | 36 | |
| 9 | 25 | |
| 10 | 17 | |
| 11 | 15 | |
| 12 | 37 | |
| 13 | 19 | |
| 14 | 24 | |
| 15 | 24 | |
| 16 | 119 | |
| 17 | 60 | |
| 18 | 3 | |
| 19 | 70 | |
| 20 | 7 |
About Martin J. Cann
Martin J. Cann is a scholar working on Endocrine and Autonomic Systems, Aging and Molecular Biology, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (6 papers) and Photosynthetic Processes and Mechanisms (6 papers). The work is most often cited by research in Reproductive Medicine (346 citations), Physiology (124 citations) and Endocrine and Autonomic Systems (173 citations). Martin J. Cann has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Lonny R. Levin, Jochen Buck, David Parker, Vadim Iourgenko, Tatiana N. Litvin, Yanqiu Chen, Robert A. Poole, Róbert Pál, Rachel Slater and Junhua Yu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.