Marcel Kwa

25 papers receiving 2.3k citations

Marcel Kwa's Hit Papers

Risk factors in the development of stem cell therapy 2011 · 572 citations
5720+5+10Years since publication100200300400500

Peers

Marcel Kwa
Comparison fields: 5 of 113
  • Small Animals 775
  • Parasitology 543
  • Genetics 409
  • Aging 57
  • Ecology 631
Replace G. F. J. NEWLANDS with:
G. F. J. NEWLANDS United Kingdom
Naoki Arizono Japan
George N. Cox United States
Marc H. Dresden United States
Neil Humphreys United Kingdom
Toshihiro Matsui Japan
Bong-Kwang Jung South Korea
Y. Takahashi Japan
Heidi Huus Petersen Denmark
Craig Hammerberg United States
Marcel Kwa relative to G. F. J. NEWLANDS United Kingdom G. F. J. NEWLANDS's profile →
Citations per field
00.5×4.8×
G. F. J. NEWLANDS · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Marcel Kwa, 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 Marcel Kwa Line = papers co-authored together Marcel Kwa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Risk factors in the development of stem cell therapy
Hit paper breakdown →
2011572
2 1994347
3 2013317
4 1995219
5 1992135
6 1993123
7 1996121
8 199399
9 199592
10 202056
11 200346
12 200144
13 199842
14 199837
15 200933
16 199922
17 201720
18 200313
19 199312
20 20016

About Marcel Kwa

Marcel Kwa is a scholar working on Small Animals, Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Plant Science, having authored 26 papers that have together received 2.4k indexed citations. Recurring topics across this work include Helminth infection and control (7 papers), Hereditary Neurological Disorders (5 papers), Pharmaceutical studies and practices (4 papers), Nematode management and characterization studies (4 papers), Nerve injury and regeneration (3 papers), Parasite Biology and Host Interactions (3 papers), Parasites and Host Interactions (3 papers) and Insect Resistance and Genetics (3 papers). The work is most often cited by research in Small Animals (775 citations), Parasitology (543 citations), Genetics (409 citations), Aging (57 citations) and Ecology (631 citations). Marcel Kwa has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Jetty G. Veenstra, Marleen H. Roos, Carla Herberts, M.H. Roos, J.H. Boersema, F.N.J. Kooyman, Warwick N. Grant, Just M. Vlak, Ruud A. de Maagd and Rob W. van Nues. Their work appears in journals such as Molecular and Biochemical Parasitology, Journal of Molecular Biology, Clinical Microbiology and Infection, European Journal of Human Genetics and Vaccine.

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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