Caitlin E. Mills
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 11
- Cancer-related Molecular Pathways 5
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- Cell Image Analysis Techniques 5
- Co-authors
- Peter Karl Sorger (14 shared papers)Mirra Chung (7 shared papers)Nathanael S. Gray (6 shared papers)Sarah A. Boswell (3 shared papers)Kartik Subramanian (4 shared papers)Marc A. Hafner (4 shared papers)Dejan Juric (2 shared papers)Robert A. Everley (2 shared papers)
- Journals
- Cell chemical biology (4 papers)Cell Systems (3 papers)Nature (2 papers)Patterns (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Caitlin E. Mills
27 papers receiving 1.7k citations
Caitlin E. Mills's Hit Papers
Peers
Comparison fields: 5 of 122
- Oncology 522
- Cancer Research 218
- Molecular Biology 905
- Biophysics 76
- Immunology 203
Countries citing papers authored by Caitlin E. Mills
This map shows the geographic impact of Caitlin E. 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 Caitlin E. Mills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin E. Mills more than expected).
Fields of papers citing papers by Caitlin E. Mills
This network shows the impact of papers produced by Caitlin E. 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 Caitlin E. Mills. The network helps show where Caitlin E. Mills may publish in the future.
Co-authors
The 25 scholars most cited alongside Caitlin E. Mills, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A single-cell landscape of high-grade serous ovarian cancer Hit paper breakdown → | 2020 | 363 |
| 2 | 2017 | 306 | |
| 3 | 2019 | 192 | |
| 4 | 2019 | 128 | |
| 5 | 2023 | 119 | |
| 6 | 2019 | 96 | |
| 7 | 2019 | 80 | |
| 8 | 2021 | 68 | |
| 9 | 2020 | 68 | |
| 10 | 2022 | 41 | |
| 11 | 2022 | 32 | |
| 12 | 2011 | 29 | |
| 13 | 2019 | 28 | |
| 14 | 2021 | 26 | |
| 15 | 2019 | 24 | |
| 16 | 2022 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2020 | 17 | |
| 19 | 2007 | 14 | |
| 20 | 2014 | 9 |
About Caitlin E. Mills
Caitlin E. Mills is a scholar working on Oncology, Biophysics, Molecular Biology, Radiological and Ultrasound Technology and Computational Theory and Mathematics, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (3 papers), Protein Degradation and Inhibitors (3 papers), Bioinformatics and Genomic Networks (3 papers) and Advanced Breast Cancer Therapies (3 papers). The work is most often cited by research in Oncology (522 citations), Cancer Research (218 citations), Molecular Biology (905 citations), Biophysics (76 citations) and Immunology (203 citations). Caitlin E. Mills has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Peter Karl Sorger, Mirra Chung, Nathanael S. Gray, Sarah A. Boswell, Kartik Subramanian, Marc A. Hafner, Dejan Juric, Robert A. Everley, Changchang Liu and Charlotte S. Walmsley. Their work appears in journals such as Cell chemical biology, Cell Systems, Nature, Patterns and Cancer Research.
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.