Jacobus Burggraaf
- Molecular Biology top 5%
- Surgery top 5%
- Physiology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Biomedical Engineering top 5%
- Co-authors
- Adam F. CohenRik C. SchoemakerMatthijs MoerlandAlexander L. VahrmeijerHanno PijlMarieke L. de KamRobert RißmannMartijn B. A. van Doorn
- Topics
- Nanoplatforms for cancer theranostics (16 papers)Growth Hormone and Insulin-like Growth Factors (16 papers)Cancer Research and Treatments (11 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Jacobus Burggraaf
268 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 1.4k
- Surgery 932
- Physiology 868
- Pulmonary and Respiratory Medicine 863
- Biomedical Engineering 836
Countries citing papers authored by Jacobus Burggraaf
This map shows the geographic impact of Jacobus Burggraaf'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 Jacobus Burggraaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacobus Burggraaf more than expected).
Fields of papers citing papers by Jacobus Burggraaf
This network shows the impact of papers produced by Jacobus Burggraaf. 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 Jacobus Burggraaf. The network helps show where Jacobus Burggraaf may publish in the future.
Co-authorship network of co-authors of Jacobus Burggraaf
This figure shows the co-authorship network connecting the top 25 collaborators of Jacobus Burggraaf. A scholar is included among the top collaborators of Jacobus Burggraaf 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 Jacobus Burggraaf. Jacobus Burggraaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 20 | |
| 10 | Fundamentals and developments in fluorescence-guided cancer surgerybreakdown → | 251 |
| 11 | 77 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 72 | |
| 18 | 211 | |
| 19 | 4 | |
| 20 | Dairy peptides in effective blood glucose management | 1 |
About Jacobus Burggraaf
Jacobus Burggraaf is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 274 papers that have together received 6.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (16 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Cancer Research and Treatments (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (795 citations), Endocrine and Autonomic Systems (296 citations) and Immunology (748 citations). Jacobus Burggraaf has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Adam F. Cohen, Rik C. Schoemaker, Matthijs Moerland, Alexander L. Vahrmeijer, Hanno Pijl, Marieke L. de Kam, Robert Rißmann, Martijn B. A. van Doorn, J. Sven D. Mieog and Marijke Frölich. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.