F.J.M. van de Ven

40 total papers · 1.7k total citations
36 papers, 1.4k citations indexed

About

F.J.M. van de Ven is a scholar working on Molecular Biology, Spectroscopy and Food Science. According to data from OpenAlex, F.J.M. van de Ven has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Spectroscopy and 7 papers in Food Science. Recurrent topics in F.J.M. van de Ven's work include Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (9 papers) and NMR spectroscopy and applications (7 papers). F.J.M. van de Ven is often cited by papers focused on Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (9 papers) and NMR spectroscopy and applications (7 papers). F.J.M. van de Ven collaborates with scholars based in Netherlands, Germany and United States. F.J.M. van de Ven's co-authors include Cornelis W. Hilbers, Ruud N.H. Konings, Henno W. van den Hooven, Mart van de Kamp, C. W. Hilbers, R.N.H. Konings, Glenn L. Millhauser, Kimberly A. Bolin, Paul Hanson and Marcel J. J. Blommers and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Molecular Biology.

In The Last Decade

F.J.M. van de Ven

36 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
F.J.M. van de Ven	1.0k	408	299	169	156	36	1.4k
Davy Sinnaeve	691 0.7×	299 0.7×	97 0.3×	230 1.4×	238 1.5×	58	1.6k
Goeran Lindblom	914 0.9×	259 0.6×	136 0.5×	74 0.4×	124 0.8×	24	1.5k
Michael Kolbe	895 0.9×	233 0.6×	130 0.4×	46 0.3×	148 0.9×	33	1.8k
Andi Mainz	1.2k 1.2×	221 0.5×	60 0.2×	88 0.5×	173 1.1×	33	1.8k
Boyan B. Bonev	999 1.0×	133 0.3×	347 1.2×	33 0.2×	99 0.6×	49	1.8k
Marvin J. Bayro	891 0.9×	843 2.1×	44 0.1×	268 1.6×	547 3.5×	31	1.7k
Jennifer C. J. Barna	550 0.5×	231 0.6×	50 0.2×	200 1.2×	52 0.3×	19	1.3k
Sébastien J. F. Vincent	757 0.7×	235 0.6×	258 0.9×	104 0.6×	139 0.9×	30	1.3k
Catherine Bougault	825 0.8×	356 0.9×	35 0.1×	54 0.3×	288 1.8×	42	1.7k
Laura Lerner	847 0.8×	375 0.9×	51 0.2×	147 0.9×	153 1.0×	42	1.4k

Countries citing papers authored by F.J.M. van de Ven

Since Specialization

Citations

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

Fields of papers citing papers by F.J.M. van de Ven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.J.M. van de Ven. 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 F.J.M. van de Ven. The network helps show where F.J.M. van de Ven may publish in the future.

Co-authorship network of co-authors of F.J.M. van de Ven

This figure shows the co-authorship network connecting the top 25 collaborators of F.J.M. van de Ven. A scholar is included among the top collaborators of F.J.M. van de Ven 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 F.J.M. van de Ven. F.J.M. van de Ven 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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