Marcel Kwa

3.2k total citations · 1 hit paper
26 papers, 2.4k citations indexed

About

Marcel Kwa is a scholar working on Small Animals, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marcel Kwa has authored 26 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Small Animals, 7 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marcel Kwa's work include Helminth infection and control (7 papers), Hereditary Neurological Disorders (5 papers) and Nematode management and characterization studies (4 papers). Marcel Kwa is often cited by papers focused on Helminth infection and control (7 papers), Hereditary Neurological Disorders (5 papers) and Nematode management and characterization studies (4 papers). Marcel Kwa collaborates with scholars based in Netherlands, Germany and Belgium. Marcel Kwa's co-authors include Jetty G. Veenstra, Marleen H. Roos, Carla Herberts, M.H. Roos, F.N.J. Kooyman, J.H. Boersema, Warwick N. Grant, Just M. Vlak, Ruud A. de Maagd and Rudi J. Planta and has published in prestigious journals such as Journal of Molecular Biology, Brain and Applied and Environmental Microbiology.

In The Last Decade

Marcel Kwa

25 papers receiving 2.3k citations

Hit Papers

Risk factors in the development of stem cell therapy 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Kwa Netherlands 17 775 763 631 543 409 26 2.4k
George N. Cox United States 32 276 0.4× 1.3k 1.7× 246 0.4× 237 0.4× 166 0.4× 71 3.2k
G. F. J. NEWLANDS United Kingdom 28 864 1.1× 349 0.5× 511 0.8× 708 1.3× 206 0.5× 58 2.2k
Naoki Arizono Japan 29 394 0.5× 499 0.7× 587 0.9× 725 1.3× 248 0.6× 113 2.5k
Marc H. Dresden United States 25 370 0.5× 502 0.7× 513 0.8× 702 1.3× 45 0.1× 69 1.7k
Heidi Huus Petersen Denmark 19 149 0.2× 459 0.6× 180 0.3× 276 0.5× 65 0.2× 68 1.7k
Bong-Kwang Jung South Korea 20 320 0.4× 615 0.8× 626 1.0× 885 1.6× 114 0.3× 102 1.9k
Alan D. Pemberton United Kingdom 25 216 0.3× 398 0.5× 127 0.2× 219 0.4× 152 0.4× 72 1.7k
Neil Humphreys United Kingdom 25 322 0.4× 486 0.6× 275 0.4× 688 1.3× 30 0.1× 43 2.6k
Y. Takahashi Japan 24 86 0.1× 406 0.5× 337 0.5× 262 0.5× 15 0.0× 107 1.4k
Oliver T. Burton United States 28 77 0.1× 1.2k 1.6× 133 0.2× 289 0.5× 37 0.1× 49 4.1k

Countries citing papers authored by Marcel Kwa

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Kwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel Kwa. 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 Marcel Kwa. The network helps show where Marcel Kwa may publish in the future.

Co-authorship network of co-authors of Marcel Kwa

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Kwa. A scholar is included among the top collaborators of Marcel Kwa 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 Marcel Kwa. Marcel Kwa 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.
Kwa, Marcel, et al.. (2025). Implementation of indication restrictions made by European regulatory action for antibiotics – amoxicillin. European Journal of Pharmaceutical Sciences. 209. 107106–107106. 1 indexed citations
2.
Gardarsdóttir, Helga, Marcel Kwa, Jadwiga Wójkowska‐Mach, et al.. (2024). Use of antibiotics in the early COVID-19 pandemic in Poland, the Netherlands and Spain, from erraticism to (more) logic. European Journal of Clinical Pharmacology. 80(10). 1581–1589. 1 indexed citations
3.
Gevers, S., et al.. (2020). Safety considerations for chloroquine and hydroxychloroquine in the treatment of COVID-19. Clinical Microbiology and Infection. 26(9). 1276–1277. 56 indexed citations
5.
Kwa, Marcel, et al.. (2020). Fatal outcomes following immunization errors as reported to the EudraVigilance: A case series. Vaccine. 38(15). 3086–3095. 3 indexed citations
6.
Kwa, Marcel, et al.. (2018). Drug Registries and Approval of Drugs: Promises, Placebo, or a Real Success?. Clinical Therapeutics. 40(5). 768–773. 3 indexed citations
7.
Barkholt, Lisbeth, Egbert Flory, Veronika Jekerle, et al.. (2013). Risk of tumorigenicity in mesenchymal stromal cell–based therapies—Bridging scientific observations and regulatory viewpoints. Cytotherapy. 15(7). 753–759. 317 indexed citations
8.
Herberts, Carla, et al.. (2011). Risk factors in the development of stem cell therapy. Journal of Translational Medicine. 9(1). 29–29. 572 indexed citations breakdown →
9.
Hantke, Janina, David Chandler, R. H. M. King, et al.. (2009). A mutation in an alternative untranslated exon of hexokinase 1 associated with Hereditary Motor and Sensory Neuropathy – Russe (HMSNR). European Journal of Human Genetics. 17(12). 1606–1614. 33 indexed citations
10.
Kwa, Marcel. (2003). Autoimmunoreactivity to Schwann cells in patients with inflammatory neuropathies. Brain. 126(2). 361–375. 46 indexed citations
11.
Vreijling, Jeroen, et al.. (2003). Transcriptional profile of the human peripheral nervous system by serial analysis of gene expression. Genomics. 82(2). 97–108. 13 indexed citations
12.
Kwa, Marcel, Ivo N. van Schaik, Anneke Brand, Frank Baas, & M. Vermeulen. (2001). Investigation of serum response to PMP22, connexin 32 and P0 in inflammatory neuropathies. Journal of Neuroimmunology. 116(2). 220–225. 44 indexed citations
13.
Schaik, Ivo N. van, et al.. (2001). cAMP is involved in the differentiation of human teratocarcinoma cells. Neuroscience Letters. 311(1). 61–65. 6 indexed citations
14.
Oers, Monique M. van, et al.. (1999). Cloning and analysis of cDNAs encoding the hypusine‐containing protein eIF5A of two lepidopteran insect species. Insect Molecular Biology. 8(4). 531–538. 22 indexed citations
16.
Kwa, Marcel, et al.. (1995). β-Tubulin Genes from the Parasitic NematodeHaemonchus contortusModulate Drug Resistance inCaenorhabditis elegans. Journal of Molecular Biology. 246(4). 500–510. 219 indexed citations
17.
Kwa, Marcel, Jetty G. Veenstra, & Marleen H. Roos. (1994). Benzimidazole resistance in Haemonchus contortus is correlated with a conserved mutation at amino acid 200 in β-tubulin isotype 1. Molecular and Biochemical Parasitology. 63(2). 299–303. 347 indexed citations
18.
Kwa, Marcel, F.N.J. Kooyman, J.H. Boersema, & M.H. Roos. (1993). Effect of Selection for Benzimidazole Resistance in Haemonchus contortus on β-Tubulin Isotype 1 and Isotype 2 Genes. Biochemical and Biophysical Research Communications. 191(2). 413–419. 123 indexed citations
19.
Kwa, Marcel, Jetty G. Veenstra, & Marleen H. Roos. (1993). Molecular characterisation of β-tubulin genes present in benzimidazole-resistant populations of Haemonchus contortus. Molecular and Biochemical Parasitology. 60(1). 133–143. 99 indexed citations
20.
Kwa, Marcel, et al.. (1993). Molecular aspects of drug resistance in parasitic helminths. Pharmacology & Therapeutics. 60(2). 331–336. 12 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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