Anne‐Marie van Dam
- Neurology top 0.2%
- Immunology top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Benjamin DrukarchPaul J. LucassenF. BerkenboschFred J.H. TildersJohn J. P. BrevéMadeleine R. BrounsJohn G. J. M. BolKarlijn J. Doorn
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (37 papers)Blood properties and coagulation (21 papers)Multiple Sclerosis Research Studies (16 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Anne‐Marie van Dam
90 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 124
- Neurology 1.6k
- Immunology 1.0k
- Molecular Biology 949
- Physiology 696
- Cellular and Molecular Neuroscience 673
Countries citing papers authored by Anne‐Marie van Dam
This map shows the geographic impact of Anne‐Marie van Dam'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 Anne‐Marie van Dam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Marie van Dam more than expected).
Fields of papers citing papers by Anne‐Marie van Dam
This network shows the impact of papers produced by Anne‐Marie van Dam. 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 Anne‐Marie van Dam. The network helps show where Anne‐Marie van Dam may publish in the future.
Co-authorship network of co-authors of Anne‐Marie van Dam
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Marie van Dam. A scholar is included among the top collaborators of Anne‐Marie van Dam 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 Anne‐Marie van Dam. Anne‐Marie van Dam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 16 | |
| 9 | 119 | |
| 10 | 12 | |
| 11 | 48 | |
| 12 | 80 | |
| 13 | 28 | |
| 14 | 98 | |
| 15 | 47 | |
| 16 | 35 | |
| 17 | 55 | |
| 18 | 91 | |
| 19 | 36 | |
| 20 | Studies on the gammaglobulin levels in sera of calves from herds with colisepticaemia as a problem, and some investigations on the content of specific antibodies in colostrum. | 8 |
About Anne‐Marie van Dam
Anne‐Marie van Dam is a scholar working on Neurology, Behavioral Neuroscience and Developmental Neuroscience, having authored 90 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (37 papers), Blood properties and coagulation (21 papers) and Multiple Sclerosis Research Studies (16 papers). The work is most often cited by research in Neurology (1.6k citations), Biological Psychiatry (377 citations) and Behavioral Neuroscience (458 citations). Anne‐Marie van Dam has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Benjamin Drukarch, Paul J. Lucassen, F. Berkenbosch, Fred J.H. Tilders, John J. P. Brevé, Madeleine R. Brouns, John G. J. M. Bol, Karlijn J. Doorn, Annemarie Ledeboer and Micha M.M. Wilhelmus. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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.