Tim Jatkoe
Impact in
- Cancer Research top 1%
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in
-
- RNA Research and Splicing 2
- Peroxisome Proliferator-Activated Receptors 1
- Gene expression and cancer classification 1
- Oncology 3
- Cancer Diagnosis and Treatment 2
- Co-authors
- Yixin Wang (4 shared papers)Dmitri Talantov (3 shared papers)David Atkins (3 shared papers)Jack X. Yu (3 shared papers)Fei Yang (1 shared paper)Anieta M. Sieuwerts (1 shared paper)Marion E. Meijer‐van Gelder (1 shared paper)Els M.J.J. Berns (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Oncogene (2 papers)Journal of Molecular Diagnostics (1 paper)The Lancet (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Tim Jatkoe
11 papers receiving 3.4k citations
Tim Jatkoe's Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 1.1k
- Oncology 979
- Molecular Biology 1.9k
- Pathology and Forensic Medicine 368
- Oral Surgery 115
Countries citing papers authored by Tim Jatkoe
This map shows the geographic impact of Tim Jatkoe'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 Tim Jatkoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Jatkoe more than expected).
Fields of papers citing papers by Tim Jatkoe
This network shows the impact of papers produced by Tim Jatkoe. 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 Tim Jatkoe. The network helps show where Tim Jatkoe may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Jatkoe, 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 | Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer Hit paper breakdown → | 2005 | 2103 |
| 2 | 2004 | 357 | |
| 3 | 2009 | 334 | |
| 4 | 2005 | 188 | |
| 5 | 2008 | 169 | |
| 6 | 2001 | 94 | |
| 7 | 2006 | 79 | |
| 8 | 2001 | 73 | |
| 9 | 2000 | 57 | |
| 10 | 2023 | 22 | |
| 11 | 2005 | 2 |
About Tim Jatkoe
Tim Jatkoe is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 11 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer Diagnosis and Treatment (2 papers), Lung Cancer Treatments and Mutations (2 papers), RNA Research and Splicing (2 papers), Acute Myeloid Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (979 citations), Molecular Biology (1.9k citations), Pathology and Forensic Medicine (368 citations) and Oral Surgery (115 citations). Tim Jatkoe has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Yixin Wang, Dmitri Talantov, David Atkins, Jack X. Yu, Fei Yang, Anieta M. Sieuwerts, Marion E. Meijer‐van Gelder, Els M.J.J. Berns, Maxime P. Look and Jan G.M. Klijn. Their work appears in journals such as Journal of Clinical Oncology, Oncogene, Journal of Molecular Diagnostics, The Lancet and Biochemical Journal.
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.