Hans M. Schrijver

2.1k total citations
24 papers, 642 citations indexed

About

Hans M. Schrijver is a scholar working on Pathology and Forensic Medicine, Immunology and Surgery. According to data from OpenAlex, Hans M. Schrijver has authored 24 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 9 papers in Immunology and 4 papers in Surgery. Recurrent topics in Hans M. Schrijver's work include Multiple Sclerosis Research Studies (16 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (5 papers). Hans M. Schrijver is often cited by papers focused on Multiple Sclerosis Research Studies (16 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (5 papers). Hans M. Schrijver collaborates with scholars based in Netherlands, Australia and Curacao. Hans M. Schrijver's co-authors include Chris H. Polman, Bernard M.J. Uitdehaag, J. Bart A. Crusius, María Asunción García-González, P.J. Kostense, A. S. Peña, Henk W. Berendse, Herman J. Adèr, M.H.G. Rep and Marijke Roos and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hans M. Schrijver

24 papers receiving 606 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans M. Schrijver Netherlands 15 276 217 124 123 119 24 642
Marie Fischer Sweden 13 181 0.7× 373 1.7× 145 1.2× 39 0.3× 101 0.8× 33 676
Barbara Segal United States 14 113 0.4× 131 0.6× 102 0.8× 227 1.8× 258 2.2× 26 922
Elizabeth Blankenhorn United States 5 112 0.4× 315 1.5× 82 0.7× 46 0.4× 98 0.8× 8 792
Alicja Kalinowska Poland 16 329 1.2× 138 0.6× 95 0.8× 49 0.4× 103 0.9× 59 807
Raphaël Schneider Canada 15 191 0.7× 302 1.4× 181 1.5× 46 0.4× 81 0.7× 54 961
Begoña Oliver‐Martos Spain 17 262 0.9× 287 1.3× 188 1.5× 41 0.3× 105 0.9× 63 959
Antoine Guéguen France 16 236 0.9× 181 0.8× 56 0.5× 45 0.4× 435 3.7× 47 1.0k
F. Hanefeld Germany 11 152 0.6× 72 0.3× 77 0.6× 39 0.3× 69 0.6× 22 547
Marja‐Liisa Sumelahti Finland 16 653 2.4× 179 0.8× 98 0.8× 34 0.3× 145 1.2× 45 911
Benedicte A. Lie Norway 18 90 0.3× 271 1.2× 40 0.3× 164 1.3× 100 0.8× 27 923

Countries citing papers authored by Hans M. Schrijver

Since Specialization
Citations

This map shows the geographic impact of Hans M. Schrijver'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 Hans M. Schrijver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans M. Schrijver more than expected).

Fields of papers citing papers by Hans M. Schrijver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans M. Schrijver. 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 Hans M. Schrijver. The network helps show where Hans M. Schrijver may publish in the future.

Co-authorship network of co-authors of Hans M. Schrijver

This figure shows the co-authorship network connecting the top 25 collaborators of Hans M. Schrijver. A scholar is included among the top collaborators of Hans M. Schrijver 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 Hans M. Schrijver. Hans M. Schrijver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jongen, Peter Joseph, L. G. F. Sinnige, Freek Verheul, et al.. (2016). The interactive web-based program MSmonitor for self-management and multidisciplinary care in multiple sclerosis: utilization and valuation by patients. Patient Preference and Adherence. 10. 243–243. 14 indexed citations
2.
Jongen, Peter Joseph, W.A.J.G. Lemmens, Raymond Hupperts, et al.. (2016). Persistence and adherence in multiple sclerosis patients starting glatiramer acetate treatment: assessment of relationship with care received from multiple disciplines. Patient Preference and Adherence. 10. 909–909. 10 indexed citations
3.
Jongen, Peter Joseph, L. G. F. Sinnige, Freek Verheul, et al.. (2015). The interactive web-based program MSmonitor for self-management and multidisciplinary care in multiple sclerosis: concept, content, and pilot results. Patient Preference and Adherence. 9. 1741–1741. 22 indexed citations
4.
5.
Schrijver, Hans M., et al.. (2012). Reversible posterior leukoencephalopathy syndrome during sunitinib therapy for metastatic renal cell carcinoma. Oncology Letters. 3(6). 1293–1296. 17 indexed citations
6.
7.
Schrijver, Hans M., J. Bart A. Crusius, María Asunción García-González, et al.. (2004). Gender-Related Association Between the TGFBI+869 Polymorphism and Multiple Sclerosis. Journal of Interferon & Cytokine Research. 24(9). 536–542. 14 indexed citations
8.
Schrijver, Hans M., et al.. (2004). Carcinomatous Meningitis in Cancer of the Uterine Cervix. Journal of Neuro-Oncology. 70(1). 87–90. 16 indexed citations
9.
Schrijver, Hans M., Martine J. van Belzen, J. Bart A. Crusius, et al.. (2004). Polymorphisms in the genes encoding interferon‐γ and interferon‐γ receptors in multiple sclerosis. European Journal of Immunogenetics. 31(3). 133–140. 19 indexed citations
10.
Schrijver, Hans M., et al.. (2003). Interleukin (IL)‐1 gene polymorphisms: relevance of disease severity associated alleles with IL‐1β and IL‐1ra production in multiple sclerosis. Mediators of Inflammation. 12(2). 89–94. 31 indexed citations
11.
Schrijver, Hans M. & Henk W. Berendse. (2003). Pneumocephalus by Valsalva’s maneuver. Neurology. 60(2). 345–346. 31 indexed citations
12.
Schrijver, Hans M., J. Bart A. Crusius, Dirk L. Knol, et al.. (2003). The interleukin-1 gene family in multiple sclerosis susceptibility and disease course. Multiple Sclerosis Journal. 9(6). 535–539. 18 indexed citations
13.
Boxel-Dezaire, Anette H.H. van, Joep Killestein, Hans M. Schrijver, et al.. (2000). Contrasting responses to interferon β-1b treatment in relapsing-remitting multiple sclerosis: Does baseline interleukin-12p35 messenger RNA predict the efficacy of treatment?. Annals of Neurology. 48(3). 313–322. 35 indexed citations
14.
15.
Jong, Brigit A. de, Hans M. Schrijver, T. Huizinga, et al.. (2000). Innate production of interleukin‐10 and tumor necrosis factor affects the risk of multiple sclerosis. Annals of Neurology. 48(4). 641–646. 5 indexed citations
16.
Jong, Brigit A. de, Hans M. Schrijver, T. Huizinga, et al.. (2000). Innate production of interleukin-10 and tumor necrosis factor affects the risk of multiple sclerosis. Annals of Neurology. 48(4). 641–646. 39 indexed citations
17.
Rep, M.H.G., Hans M. Schrijver, Rogier Q. Hintzen, et al.. (1999). Interferon (IFN)-β treatment enhances CD95 and interleukin 10 expression but reduces interferon-γ producing T cells in MS patients. Journal of Neuroimmunology. 96(1). 92–100. 104 indexed citations
18.
Schrijver, Hans M., et al.. (1978). [Icterus following use of propoxyphene (Depronal)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 122(24). 870–2. 2 indexed citations
19.
Schrijver, Hans M., et al.. (1973). HYPERALIMENTATION, HYPOPHOSPHATÆMIA, AND COMA. The Lancet. 301(7814). 1253–1254. 19 indexed citations
20.
Schrijver, Hans M., et al.. (1952). Thrombocytopenic Purpura with Sarcoidosis, Cured after Splenectomy. Acta Medica Scandinavica. 144(3). 213–216. 6 indexed citations

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.

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