Michael Ittmann
Impact in
- Cancer Research top 0.02%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Prostate Cancer Treatment and Research 132
- Prostate Cancer Diagnosis and Treatment 12
-
- Cancer Genomics and Diagnostics 43
- MicroRNA in disease regulation 16
- Co-authors
- Mustafa Özen (29 shared papers)Chad J. Creighton (41 shared papers)Ramon E. Parsons (3 shared papers)Jianghua Wang (31 shared papers)Bernard Kwabi‐Addo (21 shared papers)Katrina Podsypanina (2 shared papers)Claudio Basilico (12 shared papers)Michael H. Wigler (1 shared paper)
- Journals
- The Prostate (29 papers)Cancer Research (27 papers)Nature Communications (20 papers)Clinical Cancer Research (19 papers)Cell Reports (14 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael Ittmann
347 papers receiving 56.2k citations
Michael Ittmann's Hit Papers
Peers
Comparison fields: 5 of 169
- Cancer Research 13.1k
- Oncology 9.4k
- Pulmonary and Respiratory Medicine 12.7k
- Molecular Biology 18.1k
- Genetics 1.6k
Countries citing papers authored by Michael Ittmann
This map shows the geographic impact of Michael Ittmann'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 Michael Ittmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ittmann more than expected).
Fields of papers citing papers by Michael Ittmann
This network shows the impact of papers produced by Michael Ittmann. 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 Michael Ittmann. The network helps show where Michael Ittmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Ittmann, 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 350 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PTEN , a Putative Protein Tyrosine Phosphatase Gene Mutated in Human Brain, Breast, and Prostate Cancer Hit paper breakdown → | 1997 | 4121 |
| 2 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2633 |
| 3 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2464 |
| 4 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2401 |
| 5 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2371 |
| 6 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2169 |
| 7 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1758 |
| 8 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1748 |
| 9 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1634 |
| 10 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 824 |
| 11 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 768 |
| 12 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 730 |
| 13 | Heparanase promotes tumor infiltration and antitumor activity of CAR-redirected T lymphocytes Hit paper breakdown → | 2015 | 709 |
| 14 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 696 |
| 15 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 617 |
| 16 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 598 |
| 17 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 580 |
| 18 | Androgen Receptor Pathway-Independent Prostate Cancer Is Sustained through FGF Signaling Hit paper breakdown → | 2017 | 574 |
| 19 | 2007 | 569 | |
| 20 | Patterns of somatic structural variation in human cancer genomes Hit paper breakdown → | 2020 | 564 |
About Michael Ittmann
Michael Ittmann is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Oncology and Urology, having authored 350 papers that have together received 57.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (132 papers), Cancer Genomics and Diagnostics (43 papers), Fibroblast Growth Factor Research (32 papers), Epigenetics and DNA Methylation (17 papers), MicroRNA in disease regulation (16 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Urinary Bladder and Prostate Research (11 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). The work is most often cited by research in Cancer Research (13.1k citations), Oncology (9.4k citations), Pulmonary and Respiratory Medicine (12.7k citations), Molecular Biology (18.1k citations) and Genetics (1.6k citations). Michael Ittmann has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mustafa Özen, Chad J. Creighton, Ramon E. Parsons, Jianghua Wang, Bernard Kwabi‐Addo, Katrina Podsypanina, Claudio Basilico, Michael H. Wigler, Sandra H. Bigner and Danny Liaw. Their work appears in journals such as The Prostate, Cancer Research, Nature Communications, Clinical Cancer Research and Cell Reports.
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.