S. W. J. Lamberts
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Surgery top 5%
- Oncology top 5%
- Neurology top 2%
- Co-authors
- Frank H. de JongШломо МелмедPhilippe ChansonAndrea GiustinaFelipe F. CasanuevaJan W. KoperLeo J. HoflandKalon K.L. Ho
- Topics
- Pituitary Gland Disorders and Treatments (34 papers)Growth Hormone and Insulin-like Growth Factors (25 papers)Neuroendocrine Tumor Research Advances (20 papers)
- Journals
- New England Journal of MedicineThe LancetThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
S. W. J. Lamberts
75 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Endocrinology, Diabetes and Metabolism 2.4k
- Epidemiology 1.4k
- Surgery 835
- Oncology 677
- Neurology 670
Countries citing papers authored by S. W. J. Lamberts
This map shows the geographic impact of S. W. J. Lamberts'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. W. J. Lamberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. W. J. Lamberts more than expected).
Fields of papers citing papers by S. W. J. Lamberts
This network shows the impact of papers produced by S. W. J. Lamberts. 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. W. J. Lamberts. The network helps show where S. W. J. Lamberts may publish in the future.
Co-authorship network of co-authors of S. W. J. Lamberts
This figure shows the co-authorship network connecting the top 25 collaborators of S. W. J. Lamberts. A scholar is included among the top collaborators of S. W. J. Lamberts 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. W. J. Lamberts. S. W. J. Lamberts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Mortality rates in childhood and adult onset GH deficient patients enrolled in the Global Hypopituitary Control and Complications Study (HypoCCS) | 1 |
| 2 | 68 | |
| 3 | 198 | |
| 4 | 31 | |
| 5 | 12 | |
| 6 | 67 | |
| 7 | 119 | |
| 8 | 15 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 139 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 141 | |
| 15 | 17 | |
| 16 | 32 | |
| 17 | Causes of failure in operations for hyperparathyroidism. | 39 |
| 18 | 26 | |
| 19 | 86 | |
| 20 | 10 |
About S. W. J. Lamberts
S. W. J. Lamberts is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Epidemiology, having authored 77 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (34 papers), Growth Hormone and Insulin-like Growth Factors (25 papers) and Neuroendocrine Tumor Research Advances (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.4k citations), Neurology (670 citations) and Behavioral Neuroscience (155 citations). S. W. J. Lamberts has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Frank H. de Jong, Шломо Мелмед, Philippe Chanson, Andrea Giustina, Felipe F. Casanueva, Jan W. Koper, Leo J. Hofland, Kalon K.L. Ho, Peter Trainer and Anne Klibanski. Their work appears in journals such as New England Journal of Medicine, The Lancet and The Journal of Clinical Endocrinology & Metabolism.
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.