S L S Drop
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Obstetrics and Gynecology top 5%
- Co-authors
- Sabine M.P.F. de Muinck Keizer‐SchramaMaria de RidderAnita Hokken-KoelegaLeendert H. J. LooijengaMartine CoolsEllen C. ZwarthoffKatja P. WolffenbuttelK.P. Wolffenbuttel
- Topics
- Growth Hormone and Insulin-like Growth Factors (10 papers)Sexual Differentiation and Disorders (9 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers)
- Cited by
- Obstetrics and GynecologyEndocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child Health
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
S L S Drop
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 437
- Pediatrics, Perinatology and Child Health 415
- Endocrinology, Diabetes and Metabolism 367
- Genetics 323
- Obstetrics and Gynecology 173
Countries citing papers authored by S L S Drop
This map shows the geographic impact of S L S Drop'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 S L S Drop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S L S Drop more than expected).
Fields of papers citing papers by S L S Drop
This network shows the impact of papers produced by S L S Drop. 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 S L S Drop. The network helps show where S L S Drop may publish in the future.
Co-authorship network of co-authors of S L S Drop
This figure shows the co-authorship network connecting the top 25 collaborators of S L S Drop. A scholar is included among the top collaborators of S L S Drop 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 S L S Drop. S L S Drop is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 44 | |
| 4 | 11 | |
| 5 | 25 | |
| 6 | 117 | |
| 7 | 60 | |
| 8 | 17 | |
| 9 | 33 | |
| 10 | 23 | |
| 11 | 27 | |
| 12 | 31 | |
| 13 | 393 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 34 | |
| 17 | 109 | |
| 18 | 18 | |
| 19 | 18 | |
| 20 | 35 |
About S L S Drop
S L S Drop is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Transplantation, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Sexual Differentiation and Disorders (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). The work is most often cited by research in Obstetrics and Gynecology (173 citations), Endocrinology, Diabetes and Metabolism (367 citations) and Pediatrics, Perinatology and Child Health (415 citations). S L S Drop has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Sabine M.P.F. de Muinck Keizer‐Schrama, Maria de Ridder, Anita Hokken-Koelega, Leendert H. J. Looijenga, Martine Cools, Ellen C. Zwarthoff, Katja P. Wolffenbuttel, K.P. Wolffenbuttel, Remko Hersmus and Johan W. van Neck. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology 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.