Ian G. Mills
- Molecular Biology top 0.5%
- Cell Biology top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Cancer Research top 1%
- Oncology top 2%
- Co-authors
- Harvey T. McMahonYvonne VallisBrian J. PeterPhilip R. EvansDavid E. NealP.J.G. ButlerHelen M. KentGerrit J. K. Praefcke
- Topics
- Prostate Cancer Treatment and Research (66 papers)Cellular transport and secretion (23 papers)Ubiquitin and proteasome pathways (20 papers)
- Partner nations
- United KingdomNorwayUnited States
In The Last Decade
Ian G. Mills
183 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 7.1k
- Cell Biology 3.5k
- Pulmonary and Respiratory Medicine 1.9k
- Cancer Research 1.6k
- Oncology 1.2k
Countries citing papers authored by Ian G. Mills
This map shows the geographic impact of Ian G. Mills'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 Ian G. Mills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian G. Mills more than expected).
Fields of papers citing papers by Ian G. Mills
This network shows the impact of papers produced by Ian G. Mills. 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 Ian G. Mills. The network helps show where Ian G. Mills may publish in the future.
Co-authorship network of co-authors of Ian G. Mills
This figure shows the co-authorship network connecting the top 25 collaborators of Ian G. Mills. A scholar is included among the top collaborators of Ian G. Mills 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 Ian G. Mills. Ian G. Mills is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 29 | |
| 7 | 27 | |
| 8 | 8 | |
| 9 | 41 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 34 | |
| 16 | 47 | |
| 17 | 243 | |
| 18 | C-MYC induction of HES6 activates a distinct transcriptional network driving androgen insensitive prostate cancer | 1 |
| 19 | 74 | |
| 20 | BAR Domains as Sensors of Membrane Curvature: The Amphiphysin BAR Structurebreakdown → | 1372 |
About Ian G. Mills
Ian G. Mills is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Cell Biology, having authored 190 papers that have together received 10.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (66 papers), Cellular transport and secretion (23 papers) and Ubiquitin and proteasome pathways (20 papers). The work is most often cited by research in Cell Biology (3.5k citations), Cancer Research (1.6k citations) and Molecular Biology (7.1k citations). Ian G. Mills has collaborated with scholars based in United Kingdom, Norway and United States. Frequent co-authors include Harvey T. McMahon, Yvonne Vallis, Brian J. Peter, Philip R. Evans, David E. Neal, P.J.G. Butler, Helen M. Kent, Gerrit J. K. Praefcke, Charles Massie and Marijn G. J. Ford. Their work appears in journals such as Nature, Science 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.