Iain M. Cheeseman
- Cell Biology top 0.02%
- Microtubule and mitosis dynamics 81
- Cellular transport and secretion 18
- Aging top 0.5%
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics 34
- Photosynthetic Processes and Mechanisms 21
- Ubiquitin and proteasome pathways 14
- DNA Repair Mechanisms 12
- Mitochondrial Function and Pathology 8
- Plant Science top 0.2%
- Chromosomal and Genetic Variations 19
- Structural Biology top 5%
- Co-authors
- Arshad DesaiKara L. McKinleyTatsuo FukagawaJohn R. YatesElizabeth M. Wilson-KubalekMichael A. LampsonTomomi KiyomitsuGeorjana Barnes
- Cited by
- Cell BiologyAgingMolecular Biology
- Partner nations
- United StatesJapanFrance
In The Last Decade
Iain M. Cheeseman
105 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cell Biology 7.9k
- Aging 313
- Molecular Biology 9.5k
- Plant Science 3.8k
- Structural Biology 53
Countries citing papers authored by Iain M. Cheeseman
This map shows the geographic impact of Iain M. Cheeseman'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 Iain M. Cheeseman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iain M. Cheeseman more than expected).
Fields of papers citing papers by Iain M. Cheeseman
This network shows the impact of papers produced by Iain M. Cheeseman. 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 Iain M. Cheeseman. The network helps show where Iain M. Cheeseman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iain M. Cheeseman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2021 | 7 | |
| 5 | 2018 | 13 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 127 | |
| 8 | 2015 | 126 | |
| 9 | 2013 | 193 | |
| 10 | 2012 | 47 | |
| 11 | 2012 | 41 | |
| 12 | 2012 | 34 | |
| 13 | 2010 | 287 | |
| 14 | Aurora B phosphorylates spatially distinct targets to differentially regulate the kinetochore-microtubule interface | 2010 | 3 |
| 15 | 2010 | 298 | |
| 16 | 2010 | 48 | |
| 17 | The CENP-S complex is essential for the stable assembly of outer kinetochore structure | 2009 | 4 |
| 18 | 2009 | 80 | |
| 19 | 2008 | 162 | |
| 20 | 2008 | 133 |
About Iain M. Cheeseman
Iain M. Cheeseman is a scholar working on Cell Biology, Molecular Biology and Aging, having authored 109 papers that have together received 11.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (81 papers), Genomics and Chromatin Dynamics (34 papers), Photosynthetic Processes and Mechanisms (21 papers), Chromosomal and Genetic Variations (19 papers), Cellular transport and secretion (18 papers), Ubiquitin and proteasome pathways (14 papers), DNA Repair Mechanisms (12 papers) and Mitochondrial Function and Pathology (8 papers). The work is most often cited by research in Cell Biology (7.9k citations), Aging (313 citations) and Molecular Biology (9.5k citations). Iain M. Cheeseman has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Arshad Desai, Kara L. McKinley, Tatsuo Fukagawa, John R. Yates, Elizabeth M. Wilson-Kubalek, Michael A. Lampson, Tomomi Kiyomitsu, Georjana Barnes, David G. Drubin and Joshua S. Chappie. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.