Marcel van der Weiden

856 citations
25 papers · 625 indexed · h-index 14
Topics
Glioma Diagnosis and Treatment (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Barrier Structure and Function Studies (4 papers)
Partner nations
NetherlandsChinaGreece

In The Last Decade

Marcel van der Weiden

25 papers receiving 616 citations

Peers

Marcel van der Weiden
Comparison fields: 5 of 72
  • Molecular Biology 252
  • Immunology 161
  • Genetics 157
  • Oncology 133
  • Cancer Research 120
Replace Susanne Kleber with:
Susanne Kleber Germany
Ken Samoto Japan
Ningyi Tiao United States
Stacey K. Moreno United States
Juergen Kiwit Germany
Anna Gieryng Poland
Siglinde Kerkau Germany
Tomoyuki Kawataki Japan
Demirkan Gursel United States
Barbara Ikejiri United States
Marcel van der Weiden relative to Susanne Kleber Germany Susanne Kleber's profile →
Citations per field
00.5×1.5×
Susanne Kleber · 1×
Citations per year

Countries citing papers authored by Marcel van der Weiden

Since Specialization
Citations

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

Fields of papers citing papers by Marcel van der Weiden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel van der Weiden

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel van der Weiden. A scholar is included among the top collaborators of Marcel van der Weiden 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 van der Weiden. Marcel van der Weiden 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
#WorkIndexed citations
1 12
2 8
3 9
4 67
5 59
6 64
7 63
8 6
9 36
10 7
11 9
12 14
13 26
14 9
15 19
16 65
17 24
18 49
19
Development of otter-based quality objectives for PCBs (DOQOP): studies on biomagnification of PCBs in the Limfjord area (Denmark).
3
20
Development of otter-based quality objectives for PCBs (DOQOP): overview of the project in view of the environmental policy aims.
1

About Marcel van der Weiden

Marcel van der Weiden is a scholar working on Neurology, Genetics and Cell Biology, having authored 25 papers that have together received 625 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Barrier Structure and Function Studies (4 papers). The work is most often cited by research in Genetics (157 citations), Neurology (108 citations) and Cancer Research (120 citations). Marcel van der Weiden has collaborated with scholars based in Netherlands, China and Greece. Frequent co-authors include Johan M. Kros, Ping‐Pin Zheng, Dana A. M. Mustafa, Caroline Cheng, Theo M. Luider, Changbin Zhu, Anieta M. Sieuwerts, Ihsan Chrifi, Dirk J. Duncker and Pieter J. M. Leenen. Their work appears in journals such as PLoS ONE, Cancer and Oncogene.

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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