Mels Sluyser
- Molecular Biology
- Genetics top 5%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Co-authors
- Robertha Van NieSiegina G. EversLudo Van Den BoschH. BloemendalJán MešterEls WagenaarChoh Hao LiAnnemarie Hekman
- Topics
- Estrogen and related hormone effects (30 papers)PI3K/AKT/mTOR signaling in cancer (7 papers)DNA and Nucleic Acid Chemistry (5 papers)
- Cited by
- GeneticsOncologyCancer Research
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Mels Sluyser
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 604
- Genetics 472
- Oncology 288
- Endocrinology, Diabetes and Metabolism 141
- Cancer Research 135
Countries citing papers authored by Mels Sluyser
This map shows the geographic impact of Mels Sluyser'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 Mels Sluyser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mels Sluyser more than expected).
Fields of papers citing papers by Mels Sluyser
This network shows the impact of papers produced by Mels Sluyser. 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 Mels Sluyser. The network helps show where Mels Sluyser may publish in the future.
Co-authorship network of co-authors of Mels Sluyser
This figure shows the co-authorship network connecting the top 25 collaborators of Mels Sluyser. A scholar is included among the top collaborators of Mels Sluyser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mels Sluyser. Mels Sluyser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 26 | |
| 3 | 29 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 35 | |
| 7 | 17 | |
| 8 | Nuclear hormone receptor variants: their role in malignancy and progression to hormone resistance in cancer. | 3 |
| 9 | A fluorine-18 labeled progestin as an imaging agent for progestin receptor positive tumors with positron emission tomography. | 16 |
| 10 | Molecular biology of cancer genes | 2 |
| 11 | Molecular biology and genetics of childhood cancers : approaches to neuroblastoma | 0 |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | Mammary tumor virus DNA as a marker for genotypic variance within hormone-responsive GR mouse mammary tumors. | 27 |
| 17 | Mammary tumors in the mouse. | 27 |
| 18 | High estrogen and low progestin receptor levels in outgrowths of hypophyseal isografts. | 1 |
| 19 | 16 | |
| 20 | 7 |
About Mels Sluyser
Mels Sluyser is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (30 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Genetics (472 citations), Oncology (288 citations) and Cancer Research (135 citations). Mels Sluyser has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Robertha Van Nie, Siegina G. Evers, Ludo Van Den Bosch, H. Bloemendal, Ján Mešter, Els Wagenaar, Choh Hao Li, Annemarie Hekman, Jo Hilgers and Michael Bustin. Their work appears in journals such as Nature, Journal of Biological Chemistry 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.