M. A. de Klerk

8 total papers · 1.2k total citations
8 papers, 898 citations indexed

About

M. A. de Klerk is a scholar working on Neurology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, M. A. de Klerk has authored 8 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Infectious Diseases. Recurrent topics in M. A. de Klerk's work include Peripheral Neuropathies and Disorders (8 papers), Hereditary Neurological Disorders (7 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). M. A. de Klerk is often cited by papers focused on Peripheral Neuropathies and Disorders (8 papers), Hereditary Neurological Disorders (7 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). M. A. de Klerk collaborates with scholars based in Netherlands, United States and France. M. A. de Klerk's co-authors include Pieter A. van Doorn, Bart C. Jacobs, F.G.A. van der Meché, Paul Herbrink, P H Rothbarth, P.I.M. Schmitz, C. Wim Ang, Hubert P. Endtz, Jon D. Laman and F.G.A. van der Meché and has published in prestigious journals such as PLoS ONE, Neurology and Infection and Immunity.

In The Last Decade

M. A. de Klerk

8 papers receiving 865 citations

Hit Papers

The spectrum of anteceden... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. A. de Klerk 703 452 212 106 76 8 898
L A Kurjanczyk 278 0.4× 198 0.4× 162 0.8× 228 2.2× 178 2.3× 14 758
Jason R. Barash 773 1.1× 383 0.8× 61 0.3× 19 0.2× 22 0.3× 20 911
Anna‐Maria Cunningham 89 0.1× 71 0.2× 117 0.6× 168 1.6× 92 1.2× 10 919
Jeremy B. Nelson 135 0.2× 83 0.2× 261 1.2× 19 0.2× 54 0.7× 11 813
J.D. Maclennan 124 0.2× 11 0.0× 248 1.2× 24 0.2× 58 0.8× 10 753
Thirumahal Selvanantham 163 0.2× 45 0.1× 96 0.5× 44 0.4× 477 6.3× 14 912
Lindsay Sweet 214 0.3× 50 0.1× 249 1.2× 5 0.0× 222 2.9× 13 949
Murielle Giry 47 0.1× 27 0.1× 303 1.4× 31 0.3× 272 3.6× 8 973
S. Maslanka 81 0.1× 44 0.1× 55 0.3× 8 0.1× 119 1.6× 11 822
Chengguo Shen 152 0.2× 46 0.1× 288 1.4× 57 0.5× 86 1.1× 9 803

Countries citing papers authored by M. A. de Klerk

Since Specialization
Citations

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

Fields of papers citing papers by M. A. de Klerk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. de Klerk. 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 M. A. de Klerk. The network helps show where M. A. de Klerk may publish in the future.

Co-authorship network of co-authors of M. A. de Klerk

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

All Works

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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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