Daniel Worroll
Impact in
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
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- Cancer, Lipids, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
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- Prostate Cancer Treatment and Research 8
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- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 1
- Co-authors
- Paraskevi Giannakakou (8 shared papers)David M. Nanus (7 shared papers)Giuseppe Galletti (7 shared papers)Ada Gjyrezi (4 shared papers)Scott T. Tagawa (5 shared papers)Luigi Portella (2 shared papers)Emmanuel S. Antonarakis (2 shared papers)Mario A. Eisenberger (2 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Journal of Clinical Oncology (1 paper)Communications Biology (1 paper)eLife (1 paper)Physical Biology (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Daniel Worroll
10 papers receiving 198 citations
Peers
Comparison fields: 5 of 42
- Pulmonary and Respiratory Medicine 111
- Cancer Research 49
- Oncology 39
- Biophysics 7
- Endocrinology, Diabetes and Metabolism 18
Countries citing papers authored by Daniel Worroll
This map shows the geographic impact of Daniel Worroll'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 Daniel Worroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Worroll more than expected).
Fields of papers citing papers by Daniel Worroll
This network shows the impact of papers produced by Daniel Worroll. 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 Daniel Worroll. The network helps show where Daniel Worroll may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Worroll, 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 | 2018 | 86 | |
| 2 | 2023 | 58 | |
| 3 | 2022 | 14 | |
| 4 | 2019 | 13 | |
| 5 | 2017 | 8 | |
| 6 | 2021 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2019 | 1 |
About Daniel Worroll
Daniel Worroll is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 199 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Genomics and Diagnostics (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Protein Degradation and Inhibitors (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cancer Treatment and Pharmacology (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (111 citations), Cancer Research (49 citations), Oncology (39 citations), Biophysics (7 citations) and Endocrinology, Diabetes and Metabolism (18 citations). Daniel Worroll has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Paraskevi Giannakakou, David M. Nanus, Giuseppe Galletti, Ada Gjyrezi, Scott T. Tagawa, Luigi Portella, Emmanuel S. Antonarakis, Mario A. Eisenberger, Ted P. Szatrowski and Atef Zaher. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, Communications Biology, eLife and Physical Biology.
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.