J. Zandberg
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Surgery
- Co-authors
- H.S. JanszCornelis J.M. LipsJo W.M. HöppenerP.H. SteenberghA.H.M. Geurts van KesselPeter C. van der VlietAllerdien VisserA.D.M. van Mansfeld
- Topics
- Neuropeptides and Animal Physiology (8 papers)Signaling Pathways in Disease (5 papers)Peptidase Inhibition and Analysis (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismFEBS Letters
- Partner nations
- NetherlandsUnited States
In The Last Decade
J. Zandberg
17 papers receiving 948 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 580
- Cellular and Molecular Neuroscience 556
- Endocrinology, Diabetes and Metabolism 222
- Genetics 208
- Surgery 185
Countries citing papers authored by J. Zandberg
This map shows the geographic impact of J. Zandberg'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 J. Zandberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Zandberg more than expected).
Fields of papers citing papers by J. Zandberg
This network shows the impact of papers produced by J. Zandberg. 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 J. Zandberg. The network helps show where J. Zandberg may publish in the future.
Co-authorship network of co-authors of J. Zandberg
This figure shows the co-authorship network connecting the top 25 collaborators of J. Zandberg. A scholar is included among the top collaborators of J. Zandberg 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 J. Zandberg. J. Zandberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 21 | |
| 3 | 13 | |
| 4 | 99 | |
| 5 | 17 | |
| 6 | 125 | |
| 7 | 313 | |
| 8 | 53 | |
| 9 | 94 | |
| 10 | 27 | |
| 11 | 61 | |
| 12 | 14 | |
| 13 | 76 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 52 | |
| 17 | 10 |
About J. Zandberg
J. Zandberg is a scholar working on Cellular and Molecular Neuroscience, Molecular Medicine and Oncology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Signaling Pathways in Disease (5 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (556 citations), Endocrinology, Diabetes and Metabolism (222 citations) and Endocrine and Autonomic Systems (62 citations). J. Zandberg has collaborated with scholars based in Netherlands and United States. Frequent co-authors include H.S. Jansz, Cornelis J.M. Lips, Jo W.M. Höppener, P.H. Steenbergh, A.H.M. Geurts van Kessel, Peter C. van der Vliet, Allerdien Visser, A.D.M. van Mansfeld, Wim J.M. Van de Ven and Sietse Mosselman. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and FEBS Letters.
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.