Jan R.T. van Weering

7.2k citations
56 papers · 2.4k indexed · h-index 28
Topics
Cellular transport and secretion (35 papers)Lipid Membrane Structure and Behavior (22 papers)Neuroscience and Neuropharmacology Research (14 papers)

In The Last Decade

Jan R.T. van Weering

54 papers receiving 2.4k citations

Peers

Jan R.T. van Weering
Comparison fields: 5 of 113
  • Molecular Biology 1.6k
  • Cell Biology 1.2k
  • Physiology 378
  • Cellular and Molecular Neuroscience 376
  • Cancer Research 251
Replace Dmytro Puchkov with:
Dmytro Puchkov Germany
Andrea Raimondi Italy
Stephen Royle United Kingdom
Emma Evergren United Kingdom
Ying Lai United States
Péter Lőw Hungary
Ling-Gang Wu United States
Yasunori Saheki Singapore
Maria M. Magiera France
Sunghoe Chang South Korea
Jan R.T. van Weering relative to Dmytro Puchkov Germany Dmytro Puchkov's profile →
Citations per field
00.5×3.9×
Dmytro Puchkov · 1×
Citations per year

Countries citing papers authored by Jan R.T. van Weering

Since Specialization
Citations

This map shows the geographic impact of Jan R.T. van Weering'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 Jan R.T. van Weering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan R.T. van Weering more than expected).

Fields of papers citing papers by Jan R.T. van Weering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan R.T. van Weering. 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 Jan R.T. van Weering. The network helps show where Jan R.T. van Weering may publish in the future.

Co-authorship network of co-authors of Jan R.T. van Weering

This figure shows the co-authorship network connecting the top 25 collaborators of Jan R.T. van Weering. A scholar is included among the top collaborators of Jan R.T. van Weering 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 Jan R.T. van Weering. Jan R.T. van Weering 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 1
2 0
3 3
4 6
5 27
6 57
7 52
8 49
9 53
10 27
11 34
12 1
13 129
14 30
15 9
16 143
17 19
18 273
19 30
20 34

About Jan R.T. van Weering

Jan R.T. van Weering is a scholar working on Cell Biology, Structural Biology and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (35 papers), Lipid Membrane Structure and Behavior (22 papers) and Neuroscience and Neuropharmacology Research (14 papers). The work is most often cited by research in Cell Biology (1.2k citations), Physiology (203 citations) and Structural Biology (43 citations). Jan R.T. van Weering has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Peter J. Cullen, Paul Verkade, Matthijs Verhage, Ruud F. Toonen, Martin Harterink, Hendrik C. Korswagen, Colin J. Traer, Heidi de Wit, Charlotte E. Teunissen and Sander R. Piersma. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.

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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