Tim Coorens
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Single-cell and spatial transcriptomics 5
- Genomics and Phylogenetic Studies 3
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
-
- Cancer Genomics and Diagnostics 20
- Co-authors
- Peter J. Campbell (17 shared papers)Sam Behjati (11 shared papers)Iñigo Martincorena (11 shared papers)Philip S. Robinson (7 shared papers)Raheleh Rahbari (9 shared papers)Luiza Moore (8 shared papers)Michael R. Stratton (10 shared papers)Yvette Hooks (8 shared papers)
- Journals
- Nature (6 papers)Nature Protocols (2 papers)Blood (2 papers)Nature Genetics (2 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Tim Coorens
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Cancer Research 355
- Hematology 98
- Aging 16
- Molecular Biology 546
- Pathology and Forensic Medicine 118
Countries citing papers authored by Tim Coorens
This map shows the geographic impact of Tim Coorens'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 Coorens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Coorens more than expected).
Fields of papers citing papers by Tim Coorens
This network shows the impact of papers produced by Tim Coorens. 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 Coorens. The network helps show where Tim Coorens may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Coorens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 135 | |
| 2 | 2021 | 129 | |
| 3 | 2021 | 95 | |
| 4 | 2021 | 90 | |
| 5 | 2021 | 83 | |
| 6 | 2021 | 82 | |
| 7 | 2020 | 74 | |
| 8 | 2022 | 53 | |
| 9 | 2022 | 44 | |
| 10 | 2021 | 37 | |
| 11 | 2022 | 31 | |
| 12 | 2024 | 26 | |
| 13 | 2019 | 23 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2025 | 15 | |
| 19 | 2023 | 11 | |
| 20 | 2025 | 8 |
About Tim Coorens
Tim Coorens is a scholar working on Molecular Biology, Cancer Research, Genetics, Hematology and Pathology and Forensic Medicine, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Single-cell and spatial transcriptomics (5 papers), Genetic factors in colorectal cancer (4 papers), Prenatal Screening and Diagnostics (4 papers), Acute Myeloid Leukemia Research (3 papers), Genomics and Phylogenetic Studies (3 papers), Pluripotent Stem Cells Research (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Cancer Research (355 citations), Hematology (98 citations), Aging (16 citations), Molecular Biology (546 citations) and Pathology and Forensic Medicine (118 citations). Tim Coorens has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Peter J. Campbell, Sam Behjati, Iñigo Martincorena, Philip S. Robinson, Raheleh Rahbari, Luiza Moore, Michael R. Stratton, Yvette Hooks, Mathijs A. Sanders and Henry Lee-Six. Their work appears in journals such as Nature, Nature Protocols, Blood, Nature Genetics and Nature Communications.
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.