M. de Baets

1.0k total citations
9 papers, 739 citations indexed

About

M. de Baets is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, M. de Baets has authored 9 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in M. de Baets's work include Myasthenia Gravis and Thymoma (3 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). M. de Baets is often cited by papers focused on Myasthenia Gravis and Thymoma (3 papers), Sarcoidosis and Beryllium Toxicity Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). M. de Baets collaborates with scholars based in Netherlands, Germany and Italy. M. de Baets's co-authors include Catharina G. Faber, Marjolein Drent, J. P. H. Reulen, Elske Hoitsma, Frank Spaans, Bethan Lang, Angela Vincent, W.O. Renier, Marian Majoie and Martin Marziniak and has published in prestigious journals such as The Lancet, Neurology and Journal of the Neurological Sciences.

In The Last Decade

M. de Baets

9 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. de Baets Netherlands	9	362	353	119	111	107	9	739
Dimitri Renard France	18	519 1.4×	223 0.6×	124 1.0×	238 2.1×	96 0.9×	147	1.1k
Alexander F. J. E. Vrancken Netherlands	17	689 1.9×	222 0.6×	158 1.3×	246 2.2×	338 3.2×	53	1.2k
Christian von der Brelie Germany	18	468 1.3×	118 0.3×	118 1.0×	200 1.8×	401 3.7×	58	1.1k
Sabiha Aysun Türkiye	18	176 0.5×	192 0.5×	44 0.4×	144 1.3×	70 0.7×	59	903
Federica Zibordi Italy	21	403 1.1×	145 0.4×	82 0.7×	283 2.5×	219 2.0×	51	1.1k
R S Kocen United Kingdom	16	303 0.8×	124 0.4×	82 0.7×	128 1.2×	219 2.0×	26	859
A Uchino Japan	17	447 1.2×	190 0.5×	20 0.2×	235 2.1×	187 1.7×	49	832
Janja Pretnar Oblak Slovenia	17	345 1.0×	115 0.3×	245 2.1×	53 0.5×	54 0.5×	66	915
Calvin Melmed Canada	15	265 0.7×	116 0.3×	36 0.3×	300 2.7×	131 1.2×	22	861
Jeehun Lee South Korea	17	96 0.3×	191 0.5×	51 0.4×	204 1.8×	101 0.9×	80	855

Countries citing papers authored by M. de Baets

Since Specialization

Citations

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

Fields of papers citing papers by M. de Baets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. de Baets

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

All Works

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9 of 9 papers shown

1.

Dingemans, Anne‐Marie C., Hans Blaauwgeers, Robert Jan van Suylen, et al.. (2013). 8 Years’ experience with robotic thymectomy for thymomas. Surgical Endoscopy. 28(4). 1202–1208. 33 indexed citations

2.

Bakkers, Mayienne, Catharina G. Faber, Marjolein Drent, et al.. (2010). Pain and autonomic dysfunction in patients with sarcoidosis and small fibre neuropathy. Journal of Neurology. 257(12). 2086–2090. 20 indexed citations

3.

Bakkers, Mayienne, Giuseppe Lauria, Grazia Devigili, et al.. (2009). Intraepidermal nerve fiber density and its application in sarcoidosis. Neurology. 73(14). 1142–1148. 166 indexed citations

4.

Majoie, Marian, M. de Baets, W.O. Renier, Bethan Lang, & Angela Vincent. (2006). Antibodies to voltage-gated potassium and calcium channels in epilepsy. Epilepsy Research. 71(2-3). 135–141. 109 indexed citations

5.

Hoitsma, Elske, J. P. H. Reulen, M. de Baets, et al.. (2004). Small fiber neuropathy: a common and important clinical disorder. Journal of the Neurological Sciences. 227(1). 119–130. 159 indexed citations

6.

Maes, Michaël, Günter Kenis, Marta Kubera, et al.. (2004). The negative immunoregulatory effects of fluoxetine in relation to the cAMP-dependent PKA pathway. International Immunopharmacology. 5(3). 609–618. 49 indexed citations

7.

Jansen, Marc, J. B. M. Kuks, M. de Baets, et al.. (2003). Association of the Fcγ receptor IIA-R/R131 genotype with myasthenia gravis in Dutch patients. Journal of Neuroimmunology. 144(1-2). 143–147. 21 indexed citations

8.

Hoitsma, Elske, Martin Marziniak, Catharina G. Faber, et al.. (2002). Small fibre neuropathy in sarcoidosis. The Lancet. 359(9323). 2085–2086. 149 indexed citations

9.

Baets, M. de, et al.. (2002). The role of antibodies in myasthenia gravis. Journal of the Neurological Sciences. 202(1-2). 5–11. 33 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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