Phillipp Torkler
- Cancer Research top 10%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 5
- RNA modifications and cancer 3
- Extracellular vesicles in disease 2
- Genomics and Chromatin Dynamics 2
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- Prostate Cancer Diagnosis and Treatment 9
- Prostate Cancer Treatment and Research 5
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- Urologic and reproductive health conditions 3
- Co-authors
- Carlo BaejenPatrick CramerJohan SkogMikkel NoerholmMichael DonovanJames M. McKiernanGero DooseDmitrij Frishman
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Phillipp Torkler
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 303
- Molecular Biology 868
- Pulmonary and Respiratory Medicine 220
- Immunology and Allergy 35
- Endocrinology 19
Countries citing papers authored by Phillipp Torkler
This map shows the geographic impact of Phillipp Torkler'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 Phillipp Torkler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillipp Torkler more than expected).
Fields of papers citing papers by Phillipp Torkler
This network shows the impact of papers produced by Phillipp Torkler. 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 Phillipp Torkler. The network helps show where Phillipp Torkler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillipp Torkler, 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 | 2024 | 5 | |
| 2 | 2022 | 29 | |
| 3 | 2022 | 31 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 66 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 123 | |
| 8 | 2020 | 1 | |
| 9 | A Prospective Adaptive Utility Trial to Validate Performance of a Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer in Patients with Prostate-specific Antigen 2–10 ng/ml at Initial Biopsybreakdown → | 2018 | 209 |
| 10 | 2018 | 2 | |
| 11 | 2017 | 86 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 44 | |
| 14 | 2017 | 1 | |
| 15 | 2014 | 89 | |
| 16 | 2013 | 164 | |
| 17 | 2012 | 168 | |
| 18 | 2011 | 6 |
About Phillipp Torkler
Phillipp Torkler is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Molecular Biology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers), Urologic and reproductive health conditions (3 papers), Extracellular vesicles in disease (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (303 citations), Molecular Biology (868 citations) and Pulmonary and Respiratory Medicine (220 citations). Phillipp Torkler has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Carlo Baejen, Patrick Cramer, Johan Skog, Mikkel Noerholm, Michael Donovan, James M. McKiernan, Gero Doose, Dmitrij Frishman, Pawel Smialowski and Stefanie Kaufmann. Their work appears in journals such as Cell, Nature Communications and Journal of Clinical Oncology.
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.