Tim Schelfhorst
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
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- Extracellular vesicles in disease
- Wnt/β-catenin signaling in development and cancer
Papers in
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- Advanced Proteomics Techniques and Applications 4
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- Extracellular vesicles in disease 6
- RNA Research and Splicing 1
- Co-authors
- Sander R. Piersma (14 shared papers)Connie R. Jiménez (14 shared papers)Thang V. Pham (13 shared papers)Jaco C. Knol (8 shared papers)Jacco van Rheenen (3 shared papers)Irene V. Bijnsdorp (3 shared papers)R. Jeroen A. van Moorselaar (1 shared paper)Diederik W.D. Kuster (2 shared papers)
- Journals
- Journal of Proteomics (3 papers)ESMO Open (1 paper)Cell stem cell (1 paper)Cell Reports (1 paper)Scientific Reports (1 paper)
- Partner nations
- NetherlandsChinaAustralia
In The Last Decade
Tim Schelfhorst
18 papers receiving 791 citations
Peers
Comparison fields: 5 of 60
- Oncology 270
- Molecular Biology 297
- Spectroscopy 69
- Cancer Research 54
- Cardiology and Cardiovascular Medicine 87
Countries citing papers authored by Tim Schelfhorst
This map shows the geographic impact of Tim Schelfhorst'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 Schelfhorst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Schelfhorst more than expected).
Fields of papers citing papers by Tim Schelfhorst
This network shows the impact of papers produced by Tim Schelfhorst. 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 Schelfhorst. The network helps show where Tim Schelfhorst may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Schelfhorst, 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 | 2020 | 243 | |
| 2 | 2021 | 83 | |
| 3 | 2020 | 71 | |
| 4 | 2018 | 64 | |
| 5 | 2017 | 57 | |
| 6 | 2020 | 41 | |
| 7 | 2019 | 33 | |
| 8 | 2019 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2016 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2019 | 25 | |
| 13 | 2025 | 21 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 9 | |
| 17 | 2021 | 3 | |
| 18 | 2018 | 1 |
About Tim Schelfhorst
Tim Schelfhorst is a scholar working on Spectroscopy, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 18 papers that have together received 801 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Advanced Proteomics Techniques and Applications (4 papers), Cancer Cells and Metastasis (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Atrial Fibrillation Management and Outcomes (1 paper), RNA Research and Splicing (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Oncology (270 citations), Molecular Biology (297 citations), Spectroscopy (69 citations), Cancer Research (54 citations) and Cardiology and Cardiovascular Medicine (87 citations). Tim Schelfhorst has collaborated with scholars based in Netherlands, China and Australia. Frequent co-authors include Sander R. Piersma, Connie R. Jiménez, Thang V. Pham, Jaco C. Knol, Jacco van Rheenen, Irene V. Bijnsdorp, R. Jeroen A. van Moorselaar, Diederik W.D. Kuster, Larissa M. Dorsch and Maike Schuldt. Their work appears in journals such as Journal of Proteomics, ESMO Open, Cell stem cell, Cell Reports and Scientific Reports.
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.