Colleen Mathis
Impact in
- Health Informatics top 5%
-
- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
-
- Protein Degradation and Inhibitors 2
- Ubiquitin and proteasome pathways 1
- Oncology 5
- CAR-T cell therapy research 2
- Co-authors
- Owen N. Witte (5 shared papers)B. Smith (3 shared papers)Donghui Cheng (3 shared papers)Artem Sokolov (2 shared papers)Joshua M. Stuart (2 shared papers)Robert Baertsch (2 shared papers)Jiaoti Huang (2 shared papers)Tanya Stoyanova (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Advanced Therapeutics (2 papers)Cancer Cell (1 paper)Clinical Genitourinary Cancer (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Colleen Mathis
8 papers receiving 700 citations
Colleen Mathis's Hit Papers
Peers
Comparison fields: 5 of 81
- Health Informatics 23
- Pulmonary and Respiratory Medicine 318
- Cancer Research 131
- Oncology 186
- Molecular Biology 310
Countries citing papers authored by Colleen Mathis
This map shows the geographic impact of Colleen Mathis'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 Colleen Mathis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colleen Mathis more than expected).
Fields of papers citing papers by Colleen Mathis
This network shows the impact of papers produced by Colleen Mathis. 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 Colleen Mathis. The network helps show where Colleen Mathis may publish in the future.
Co-authors
The 25 scholars most cited alongside Colleen Mathis, 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 | N-Myc Drives Neuroendocrine Prostate Cancer Initiated from Human Prostate Epithelial Cells Hit paper breakdown → | 2016 | 289 |
| 2 | 2015 | 149 | |
| 3 | 2018 | 94 | |
| 4 | 2018 | 54 | |
| 5 | 2017 | 44 | |
| 6 | 2015 | 41 | |
| 7 | 2013 | 28 | |
| 8 | 2018 | 8 |
About Colleen Mathis
Colleen Mathis is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Hematology and Cell Biology, having authored 8 papers that have together received 707 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), Protein Degradation and Inhibitors (2 papers), T-cell and B-cell Immunology (2 papers), Multiple Myeloma Research and Treatments (2 papers), CAR-T cell therapy research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Bladder and Urothelial Cancer Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Health Informatics (23 citations), Pulmonary and Respiratory Medicine (318 citations), Cancer Research (131 citations), Oncology (186 citations) and Molecular Biology (310 citations). Colleen Mathis has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Owen N. Witte, B. Smith, Donghui Cheng, Artem Sokolov, Joshua M. Stuart, Robert Baertsch, Jiaoti Huang, Tanya Stoyanova, John K. Lee and Justin Meyerowitz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Therapeutics, Cancer Cell, Clinical Genitourinary Cancer and PLoS ONE.
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.