Jacob M. van Laar
- Pathology and Forensic Medicine top 0.2%
- Rheumatology top 0.2%
- Immunology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Co-authors
- Steven O’ReillyMarzena CiechomskaThomas HügleAlan TyndallRené E. M. ToesRachel CantT. HuizingaPaco M J Welsing
- Topics
- Systemic Sclerosis and Related Diseases (91 papers)Rheumatoid Arthritis Research and Therapies (85 papers)Systemic Lupus Erythematosus Research (49 papers)
- Partner nations
- NetherlandsUnited KingdomSwitzerland
In The Last Decade
Jacob M. van Laar
237 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Pathology and Forensic Medicine 2.7k
- Rheumatology 2.5k
- Immunology 2.4k
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 1.1k
Countries citing papers authored by Jacob M. van Laar
This map shows the geographic impact of Jacob M. van Laar'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 Jacob M. van Laar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob M. van Laar more than expected).
Fields of papers citing papers by Jacob M. van Laar
This network shows the impact of papers produced by Jacob M. van Laar. 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 Jacob M. van Laar. The network helps show where Jacob M. van Laar may publish in the future.
Co-authorship network of co-authors of Jacob M. van Laar
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob M. van Laar. A scholar is included among the top collaborators of Jacob M. van Laar 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 Jacob M. van Laar. Jacob M. van Laar 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 | 4 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | 18 | |
| 15 | 90 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | Improvement in Signs and Symptoms of Active Ankylosing Spondylitis Following Treatment with Anti-Interleukin (IL)-17A Monoclonal Antibody Secukinumab Are Paralleled by Reductions in Acute Phase Markers and Inflammatory Markers S100A8 and A9 (Calgranulin A and B) | 2 |
| 19 | 122 | |
| 20 | Autologous stem cell transplantation in rheumatoid arthritis | 3 |
About Jacob M. van Laar
Jacob M. van Laar is a scholar working on Rheumatology, Pathology and Forensic Medicine and Hematology, having authored 251 papers that have together received 7.5k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (91 papers), Rheumatoid Arthritis Research and Therapies (85 papers) and Systemic Lupus Erythematosus Research (49 papers). The work is most often cited by research in Rheumatology (2.5k citations), Pathology and Forensic Medicine (2.7k citations) and Immunology (2.4k citations). Jacob M. van Laar has collaborated with scholars based in Netherlands, United Kingdom and Switzerland. Frequent co-authors include Steven O’Reilly, Marzena Ciechomska, Thomas Hügle, Alan Tyndall, René E. M. Toes, Rachel Cant, T. Huizinga, Paco M J Welsing, Johannes W. G. Jacobs and René R. P. de Vries. Their work appears in journals such as The Lancet, Journal of Biological Chemistry 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.