Christopher M. Hovens
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 32
- Cancer, Lipids, and Metabolism 9
-
- Prostate Cancer Diagnosis and Treatment 32
- Prostate Cancer Treatment and Research 32
- Co-authors
- Niall M. Corcoran (77 shared papers)Anthony J. Costello (48 shared papers)Andrew Henry Kaye (14 shared papers)Michael Büchert (9 shared papers)Matthew K. H. Hong (19 shared papers)Oleg Georgiev (5 shared papers)Terence John O'Brien (15 shared papers)Andrew F. Wilks (6 shared papers)
- Journals
- British Journal of Urology (13 papers)Cell Reports (11 papers)Cell (10 papers)Urologic Oncology Seminars and Original Investigations (5 papers)Cancer Cell (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Christopher M. Hovens
165 papers receiving 25.7k citations
Christopher M. Hovens's Hit Papers
Peers
Comparison fields: 5 of 164
- Cancer Research 7.7k
- Oncology 5.4k
- Pulmonary and Respiratory Medicine 6.0k
- Molecular Biology 13.0k
- Immunology 1.9k
Countries citing papers authored by Christopher M. Hovens
This map shows the geographic impact of Christopher M. Hovens'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 Christopher M. Hovens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Hovens more than expected).
Fields of papers citing papers by Christopher M. Hovens
This network shows the impact of papers produced by Christopher M. Hovens. 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 Christopher M. Hovens. The network helps show where Christopher M. Hovens may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher M. Hovens, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 2 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2435 |
| 3 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 4 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 5 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 6 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 7 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 8 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 9 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 10 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 11 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 12 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 13 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 14 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 15 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 16 | 2018 | 392 | |
| 17 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 372 |
| 18 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 372 |
| 19 | 2018 | 339 | |
| 20 | 2018 | 320 |
About Christopher M. Hovens
Christopher M. Hovens is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Genetics, having authored 168 papers that have together received 26.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (32 papers), Prostate Cancer Diagnosis and Treatment (32 papers), Prostate Cancer Treatment and Research (32 papers), Glioma Diagnosis and Treatment (10 papers), Genetic factors in colorectal cancer (9 papers), Cancer, Lipids, and Metabolism (9 papers), Angiogenesis and VEGF in Cancer (8 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Cancer Research (7.7k citations), Oncology (5.4k citations), Pulmonary and Respiratory Medicine (6.0k citations), Molecular Biology (13.0k citations) and Immunology (1.9k citations). Christopher M. Hovens has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Niall M. Corcoran, Anthony J. Costello, Andrew Henry Kaye, Michael Büchert, Matthew K. H. Hong, Oleg Georgiev, Terence John O'Brien, Andrew F. Wilks, Justin S. Peters and Lea Knoepfel. Their work appears in journals such as British Journal of Urology, Cell Reports, Cell, Urologic Oncology Seminars and Original Investigations and Cancer Cell.
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.