Davy Cats
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
Papers in
-
- RNA modifications and cancer 5
- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 2
-
- Cutaneous lymphoproliferative disorders research 6
- Co-authors
- Hailiang Mei (19 shared papers)Marcel Reinders (3 shared papers)Lieke Michielsen (2 shared papers)Ahmed Mahfouz (2 shared papers)Tamim Abdelaal (2 shared papers)Maarten H. Vermeer (6 shared papers)Cornelis P. Tensen (6 shared papers)Rein Willemze (3 shared papers)
- Journals
- Bioinformatics (2 papers)Lara D. Veeken (2 papers)Genes Chromosomes and Cancer (2 papers)European Journal of Cancer (2 papers)Human Molecular Genetics (1 paper)
- Partner nations
- NetherlandsItalySweden
In The Last Decade
Davy Cats
23 papers receiving 728 citations
Davy Cats's Hit Papers
Peers
Comparison fields: 5 of 73
- Biophysics 88
- Dermatology 93
- Cancer Research 140
- Molecular Biology 509
- Immunology 99
Countries citing papers authored by Davy Cats
This map shows the geographic impact of Davy Cats'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 Davy Cats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davy Cats more than expected).
Fields of papers citing papers by Davy Cats
This network shows the impact of papers produced by Davy Cats. 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 Davy Cats. The network helps show where Davy Cats may publish in the future.
Co-authors
The 25 scholars most cited alongside Davy Cats, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of automatic cell identification methods for single-cell RNA sequencing data Hit paper breakdown → | 2019 | 365 |
| 2 | 2020 | 67 | |
| 3 | 2023 | 50 | |
| 4 | 2018 | 50 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 25 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 12 | |
| 11 | 2024 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2023 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Davy Cats
Davy Cats is a scholar working on Molecular Biology, Dermatology, Pathology and Forensic Medicine, Oncology and Rheumatology, having authored 25 papers that have together received 732 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (6 papers), RNA modifications and cancer (5 papers), Osteoarthritis Treatment and Mechanisms (3 papers), CAR-T cell therapy research (3 papers), RNA Research and Splicing (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Biophysics (88 citations), Dermatology (93 citations), Cancer Research (140 citations), Molecular Biology (509 citations) and Immunology (99 citations). Davy Cats has collaborated with scholars based in Netherlands, Italy and Sweden. Frequent co-authors include Hailiang Mei, Marcel Reinders, Lieke Michielsen, Ahmed Mahfouz, Tamim Abdelaal, Maarten H. Vermeer, Cornelis P. Tensen, Rein Willemze, Bastiaan T. Heijmans and Károly Szuhai. Their work appears in journals such as Bioinformatics, Lara D. Veeken, Genes Chromosomes and Cancer, European Journal of Cancer and Human Molecular Genetics.
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.