Patrick J. Killela
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Genetics and Neurodevelopmental Disorders 1
-
- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 2
- Co-authors
- Darell D. Bigner (5 shared papers)Roger E. McLendon (5 shared papers)Hai Yan (5 shared papers)Chunhui Di (3 shared papers)Simon G. Gregory (3 shared papers)Christopher G. Duncan (2 shared papers)William C. Chen (2 shared papers)David A. Solomon (1 shared paper)
- Journals
- Oncotarget (4 papers)Neuro-Oncology (2 papers)Nature Genetics (1 paper)Cancer Research (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Patrick J. Killela
13 papers receiving 3.0k citations
Patrick J. Killela's Hit Papers
Peers
Comparison fields: 5 of 73
- Genetics 1.4k
- Cancer Research 748
- Physiology 595
- Aging 37
- Molecular Biology 1.3k
Countries citing papers authored by Patrick J. Killela
This map shows the geographic impact of Patrick J. Killela'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 Patrick J. Killela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Killela more than expected).
Fields of papers citing papers by Patrick J. Killela
This network shows the impact of papers produced by Patrick J. Killela. 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 Patrick J. Killela. The network helps show where Patrick J. Killela may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick J. Killela, 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 | TERT promoter mutations occur frequently in gliomas and a subset of tumors derived from cells with low rates of self-renewal Hit paper breakdown → | 2013 | 1159 |
| 2 | Frequent ATRX , CIC , FUBP1 and IDH1 mutations refine the classification of malignant gliomas Hit paper breakdown → | 2012 | 487 |
| 3 | TERT PROMOTER MUTATIONS OCCUR FREQUENTLY IN GLIOMAS AND A SUBSET OF TUMORS DERIVED FROM CELLS WITH LOW RATES OF SELF-RENEWAL Hit paper breakdown → | 2014 | 470 |
| 4 | 2014 | 222 | |
| 5 | 2015 | 160 | |
| 6 | 2014 | 147 | |
| 7 | 2018 | 130 | |
| 8 | 2010 | 86 | |
| 9 | 2013 | 64 | |
| 10 | 2009 | 59 | |
| 11 | 2012 | 35 | |
| 12 | 2010 | 10 | |
| 13 | 2018 | 4 | |
| 14 | 2024 | 0 |
About Patrick J. Killela
Patrick J. Killela is a scholar working on Genetics, Cancer Research, Molecular Biology, Cell Biology and Physiology, having authored 14 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Cancer Genomics and Diagnostics (3 papers), Chromatin Remodeling and Cancer (2 papers), Microtubule and mitosis dynamics (2 papers), Renal and related cancers (2 papers), Telomeres, Telomerase, and Senescence (2 papers), MicroRNA in disease regulation (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Genetics (1.4k citations), Cancer Research (748 citations), Physiology (595 citations), Aging (37 citations) and Molecular Biology (1.3k citations). Patrick J. Killela has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Darell D. Bigner, Roger E. McLendon, Hai Yan, Chunhui Di, Simon G. Gregory, Christopher G. Duncan, William C. Chen, David A. Solomon, Christopher V. Nicchitta and Lei Ji Zhou. Their work appears in journals such as Oncotarget, Neuro-Oncology, Nature Genetics, Cancer Research and Molecular 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.