Eric J.G. Sijbrands
- Surgery top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 5%
- Cancer Research top 1%
- Co-authors
- John J.P. KasteleinMandy van HoekAbbas DehghanJoep C. DefescheAlbert HofmanJacqueline C.M. WittemanAlbert WiegmanArend F. L. Schinkel
- Topics
- Lipoproteins and Cardiovascular Health (100 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (61 papers)Cancer, Lipids, and Metabolism (31 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Eric J.G. Sijbrands
273 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Surgery 5.1k
- Endocrinology, Diabetes and Metabolism 3.1k
- Cardiology and Cardiovascular Medicine 3.1k
- Molecular Biology 2.0k
- Cancer Research 1.5k
Countries citing papers authored by Eric J.G. Sijbrands
This map shows the geographic impact of Eric J.G. Sijbrands'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 Eric J.G. Sijbrands with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J.G. Sijbrands more than expected).
Fields of papers citing papers by Eric J.G. Sijbrands
This network shows the impact of papers produced by Eric J.G. Sijbrands. 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 Eric J.G. Sijbrands. The network helps show where Eric J.G. Sijbrands may publish in the future.
Co-authorship network of co-authors of Eric J.G. Sijbrands
This figure shows the co-authorship network connecting the top 25 collaborators of Eric J.G. Sijbrands. A scholar is included among the top collaborators of Eric J.G. Sijbrands 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 Eric J.G. Sijbrands. Eric J.G. Sijbrands is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 15 | |
| 10 | 24 | |
| 11 | 18 | |
| 12 | 9 | |
| 13 | 36 | |
| 14 | 98 | |
| 15 | 19 | |
| 16 | 128 | |
| 17 | 83 | |
| 18 | 120 | |
| 19 | 7 | |
| 20 | 20 |
About Eric J.G. Sijbrands
Eric J.G. Sijbrands is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 276 papers that have together received 12.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (100 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (61 papers) and Cancer, Lipids, and Metabolism (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Cardiology and Cardiovascular Medicine (3.1k citations) and Surgery (5.1k citations). Eric J.G. Sijbrands has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include John J.P. Kastelein, Mandy van Hoek, Abbas Dehghan, Joep C. Defesche, Albert Hofman, Jacqueline C.M. Witteman, Albert Wiegman, Arend F. L. Schinkel, Albert Hofman and Jessica Rodenburg. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.