Daniel Schep
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
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- ATP Synthase and ATPases Research
- Mitochondrial Function and Pathology
- Photosynthetic Processes and Mechanisms
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
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- Photosynthetic Processes and Mechanisms 2
- ATP Synthase and ATPases Research 2
- Mitochondrial Function and Pathology 1
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- Renal cell carcinoma treatment 2
- Co-authors
- John L. Rubinstein (2 shared papers)John V. Bason (1 shared paper)M.G. Montgomery (1 shared paper)Alexis Rohou (1 shared paper)John E. Walker (1 shared paper)Nikolaus Grigorieff (1 shared paper)Anna Zhou (1 shared paper)Jianhua Zhao (1 shared paper)
- Journals
- Translational Lung Cancer Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (1 paper)British Journal of Urology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- CanadaUnited StatesThailand
In The Last Decade
Daniel Schep
10 papers receiving 326 citations
Peers
Comparison fields: 5 of 65
- Structural Biology 70
- Molecular Biology 276
- Clinical Biochemistry 18
- Surfaces, Coatings and Films 14
- Cell Biology 17
Countries citing papers authored by Daniel Schep
This map shows the geographic impact of Daniel Schep'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 Schep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schep more than expected).
Fields of papers citing papers by Daniel Schep
This network shows the impact of papers produced by Daniel Schep. 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 Schep. The network helps show where Daniel Schep may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schep, 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 | 2015 | 247 | |
| 2 | 2016 | 44 | |
| 3 | 2014 | 17 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 1 |
About Daniel Schep
Daniel Schep is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Surgery and Genetics, having authored 10 papers that have together received 329 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Photosynthetic Processes and Mechanisms (2 papers), ATP Synthase and ATPases Research (2 papers), Advanced Radiotherapy Techniques (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Mitochondrial Function and Pathology (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Structural Biology (70 citations), Molecular Biology (276 citations), Clinical Biochemistry (18 citations), Surfaces, Coatings and Films (14 citations) and Cell Biology (17 citations). Daniel Schep has collaborated with scholars based in Canada, United States and Thailand. Frequent co-authors include John L. Rubinstein, John V. Bason, M.G. Montgomery, Alexis Rohou, John E. Walker, Nikolaus Grigorieff, Anna Zhou, Jianhua Zhao, Martin Kaufmann and Zongchao Jia. Their work appears in journals such as Translational Lung Cancer Research, Proceedings of the National Academy of Sciences, Journal of Clinical Oncology, British Journal of Urology and Journal of Molecular 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.