F.G.A. van der Meché

2.2k citations
27 papers · 1.6k indexed · h-index 14

F.G.A. van der Meché

27 papers receiving 1.5k citations

Peers

F.G.A. van der Meché
Comparison fields: 5 of 90
  • Neurology 888
  • Cellular and Molecular Neuroscience 586
  • Pathology and Forensic Medicine 463
  • Immunology 214
  • Neurology 80
Replace P.A. van Doorn with:
P.A. van Doorn Netherlands
Alberto Alain Gabbai Brazil
P.I.M. Schmitz Netherlands
Henry Miller United Kingdom
Shunya Nakane Japan
Stuart A. Schneck United States
Sandra Bauer Germany
Keith Van Haren United States
Vivek Lal India
Leif G. Hanitsch Germany
F.G.A. van der Meché relative to P.A. van Doorn Netherlands P.A. van Doorn's profile →
Citations per field
00.5×1.5×2.0×
P.A. van Doorn · 1×
Citations per year

Countries citing papers authored by F.G.A. van der Meché

Since Specialization
Citations

This map shows the geographic impact of F.G.A. van der Meché'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 F.G.A. van der Meché with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.G.A. van der Meché more than expected).

Fields of papers citing papers by F.G.A. van der Meché

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.G.A. van der Meché. 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 F.G.A. van der Meché. The network helps show where F.G.A. van der Meché may publish in the future.

Co-authorship network

The 25 scholars most cited alongside F.G.A. van der Meché, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F.G.A. van der Meché Line = papers co-authored together F.G.A. van der Meché links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200924
2 2003234
3 2002327
4 200269
5 200246
6 2001196
7 200110
8 200176
9 19982
10 199711
11 199721
12 199742
13 199763
14 19973
15 19941
16 199312
17 19912
18 1988178
19 198712
20 1985136

About F.G.A. van der Meché

F.G.A. van der Meché is a scholar working on Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (21 papers), Hereditary Neurological Disorders (12 papers), Long-Term Effects of COVID-19 (4 papers), Nerve injury and regeneration (3 papers), Autoimmune Neurological Disorders and Treatments (2 papers), Takotsubo Cardiomyopathy and Associated Phenomena (2 papers), Pain Mechanisms and Treatments (2 papers) and Multiple Sclerosis Research Studies (2 papers). The work is most often cited by research in Neurology (888 citations), Cellular and Molecular Neuroscience (586 citations) and Pathology and Forensic Medicine (463 citations). F.G.A. van der Meché has collaborated with scholars based in Netherlands, Slovakia and Germany. Frequent co-authors include Jan Meulstee, P.A. van Doorn, Rogier Q. Hintzen, R. P. Kleyweg, Pieter A. van Doorn, Pieter A. van Doorn, F.G.I. Jennekens, A. Cecile J.W. Janssens, Josien B. de Boer and Jan Passchier. Their work appears in journals such as Neurology, Clinical Neurology and Neurosurgery, The Journal of Infectious Diseases, American Journal of Industrial Medicine and Infection and Immunity.

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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