C.E.E.M. van der Zee

23 total papers · 719 total citations
17 papers, 608 citations indexed

About

C.E.E.M. van der Zee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, C.E.E.M. van der Zee has authored 17 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in C.E.E.M. van der Zee's work include Nerve injury and regeneration (8 papers), Neuropeptides and Animal Physiology (3 papers) and Silk-based biomaterials and applications (2 papers). C.E.E.M. van der Zee is often cited by papers focused on Nerve injury and regeneration (8 papers), Neuropeptides and Animal Physiology (3 papers) and Silk-based biomaterials and applications (2 papers). C.E.E.M. van der Zee collaborates with scholars based in Netherlands, Canada and United States. C.E.E.M. van der Zee's co-authors include Willem Hendrik Gispen, Joost Verhaagen, Wiljan Hendriks, R. Gerritsen van der Hoop, Esther M.M. Van Lieshout, Theo Hagg, W.H. Gispen, Pieter J. Dederen, Dieter Lütjohann and Carlijn R. Hooijmans and has published in prestigious journals such as Diabetes, Neuroscience and Journal of Neurochemistry.

In The Last Decade

C.E.E.M. van der Zee

17 papers receiving 590 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
C.E.E.M. van der Zee	242	236	194	77	76	17	608
Francis J. Antonawich	216 0.9×	194 0.8×	82 0.4×	76 1.0×	69 0.9×	17	554
P. de Koning	291 1.2×	118 0.5×	141 0.7×	49 0.6×	53 0.7×	20	613
Willem‐Hendrik Gispen	291 1.2×	166 0.7×	106 0.5×	41 0.5×	64 0.8×	21	683
Miho Matsumata	148 0.6×	283 1.2×	81 0.4×	66 0.9×	51 0.7×	14	534
Michael D. Duffield	207 0.9×	311 1.3×	223 1.1×	41 0.5×	51 0.7×	13	617
Kimberley A. Pitman	242 1.0×	203 0.9×	98 0.5×	36 0.5×	119 1.6×	17	578
Zhaohong Qin	114 0.5×	260 1.1×	103 0.5×	44 0.6×	88 1.2×	18	596
Nicole Zsürger	364 1.5×	398 1.7×	111 0.6×	40 0.5×	48 0.6×	17	686
Irene Marcilla	218 0.9×	122 0.5×	122 0.6×	79 1.0×	114 1.5×	22	606
Sachiko Saino‐Saito	260 1.1×	370 1.6×	64 0.3×	48 0.6×	61 0.8×	22	660

Countries citing papers authored by C.E.E.M. van der Zee

Since Specialization

Citations

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

Fields of papers citing papers by C.E.E.M. van der Zee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.E.E.M. van der Zee. 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 C.E.E.M. van der Zee. The network helps show where C.E.E.M. van der Zee may publish in the future.

Co-authorship network of co-authors of C.E.E.M. van der Zee

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

All Works

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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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