Deborah Kronenberg‐Versteeg
- Genetics top 5%
- Immunology top 10%
- Surgery top 10%
- Neurology top 2%
- Molecular Biology
- Co-authors
- Mark PeakmanMartin EichmannRagnhildur Thóra KáradóttirKimberley Anne EvansOmar de FariaYasmine KamenSonia SpitzerSylvia Agathou
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (8 papers)Diabetes and associated disorders (8 papers)Immune Cell Function and Interaction (7 papers)
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Deborah Kronenberg‐Versteeg
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Genetics 427
- Immunology 349
- Surgery 311
- Neurology 311
- Molecular Biology 264
Countries citing papers authored by Deborah Kronenberg‐Versteeg
This map shows the geographic impact of Deborah Kronenberg‐Versteeg'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 Deborah Kronenberg‐Versteeg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Kronenberg‐Versteeg more than expected).
Fields of papers citing papers by Deborah Kronenberg‐Versteeg
This network shows the impact of papers produced by Deborah Kronenberg‐Versteeg. 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 Deborah Kronenberg‐Versteeg. The network helps show where Deborah Kronenberg‐Versteeg may publish in the future.
Co-authorship network of co-authors of Deborah Kronenberg‐Versteeg
This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Kronenberg‐Versteeg. A scholar is included among the top collaborators of Deborah Kronenberg‐Versteeg 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 Deborah Kronenberg‐Versteeg. Deborah Kronenberg‐Versteeg 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 | 0 | |
| 3 | 27 | |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 72 | |
| 8 | 21 | |
| 9 | 26 | |
| 10 | 244 | |
| 11 | 41 | |
| 12 | 36 | |
| 13 | Blood and Islet Phenotypes Indicate Immunological Heterogeneity in Type 1 Diabetes (vol 63, pg 3835, 2014) | 1 |
| 14 | 87 | |
| 15 | 70 | |
| 16 | 178 | |
| 17 | 11 | |
| 18 | 126 | |
| 19 | 95 | |
| 20 | 42 |
About Deborah Kronenberg‐Versteeg
Deborah Kronenberg‐Versteeg is a scholar working on Neurology, Immunology and Biological Psychiatry, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Diabetes and associated disorders (8 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Developmental Neuroscience (180 citations), Neurology (311 citations) and Biological Psychiatry (74 citations). Deborah Kronenberg‐Versteeg has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Mark Peakman, Martin Eichmann, Ragnhildur Thóra Káradóttir, Kimberley Anne Evans, Omar de Faria, Yasmine Kamen, Sonia Spitzer, Sylvia Agathou, Sergey Sitnikov and Sabine Dietmann. Their work appears in journals such as Nature Communications, Neuron and The Journal of Immunology.
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.