Wim Wilpshaar
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Molecular Biology
- Economics and Econometrics top 10%
- Oncology
- Co-authors
- John WildingEle FerranniniVivian FonsecaBengt FellströmHallvard HoldaasFaı̈ez ZannadRoland E. SchmiederAlan G. Jardine
- Topics
- Lipoproteins and Cardiovascular Health (8 papers)Health Systems, Economic Evaluations, Quality of Life (5 papers)Diabetes Treatment and Management (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Heart JournalAtherosclerosis
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Wim Wilpshaar
14 papers receiving 631 citations
Peers
Comparison fields: 5 of 51
- Endocrinology, Diabetes and Metabolism 362
- Surgery 345
- Molecular Biology 207
- Economics and Econometrics 94
- Oncology 87
Countries citing papers authored by Wim Wilpshaar
This map shows the geographic impact of Wim Wilpshaar'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 Wim Wilpshaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim Wilpshaar more than expected).
Fields of papers citing papers by Wim Wilpshaar
This network shows the impact of papers produced by Wim Wilpshaar. 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 Wim Wilpshaar. The network helps show where Wim Wilpshaar may publish in the future.
Co-authorship network of co-authors of Wim Wilpshaar
This figure shows the co-authorship network connecting the top 25 collaborators of Wim Wilpshaar. A scholar is included among the top collaborators of Wim Wilpshaar 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 Wim Wilpshaar. Wim Wilpshaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 20 | |
| 4 | 77 | |
| 5 | 106 | |
| 6 | 58 | |
| 7 | 69 | |
| 8 | 45 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 90 | |
| 12 | 62 | |
| 13 | Effect of rosuvastatin on outcomes in chronic hemodialysis patients - design and rationale of the AURORA study | 4 |
| 14 | 1 | |
| 15 | 87 |
About Wim Wilpshaar
Wim Wilpshaar is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Economics and Econometrics, having authored 15 papers that have together received 643 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (362 citations), Nephrology (86 citations) and Surgery (345 citations). Wim Wilpshaar has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include John Wilding, Ele Ferrannini, Vivian Fonseca, Bengt Fellström, Hallvard Holdaas, Faı̈ez Zannad, Roland E. Schmieder, Alan G. Jardine, Serena Tonstad and Christie M. Ballantyne. Their work appears in journals such as SHILAP Revista de lepidopterología, European Heart Journal and Atherosclerosis.
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.