Coos Baakman

1.7k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Coos Baakman is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Coos Baakman has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Materials Chemistry and 2 papers in Spectroscopy. Recurrent topics in Coos Baakman's work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (5 papers) and Advanced Proteomics Techniques and Applications (2 papers). Coos Baakman is often cited by papers focused on Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (5 papers) and Advanced Proteomics Techniques and Applications (2 papers). Coos Baakman collaborates with scholars based in Netherlands, Philippines and United Kingdom. Coos Baakman's co-authors include Gert Vriend, Elmar Krieger, Robbie P. Joosten, Jon E. Black, Wouter G. Touw, Bas Vroling, Laurens Wiel, Gerrit Vriend, Christian Gilissen and Joris A. Veltman and has published in prestigious journals such as Nucleic Acids Research, Protein Science and Human Mutation.

In The Last Decade

Coos Baakman

10 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A series of PDB-related databanks for everyday needs

2014 697 citations Wouter G. Touw, Coos Baakman et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Coos Baakman Netherlands	7	799	183	122	93	87	10	1.0k
Amit Kessel Israel	19	992 1.2×	109 0.6×	107 0.9×	63 0.7×	85 1.0×	38	1.3k
Ivana Mihalek United States	17	1.1k 1.4×	167 0.9×	127 1.0×	126 1.4×	41 0.5×	34	1.2k
Pawel Smialowski Germany	15	1.1k 1.4×	146 0.8×	116 1.0×	122 1.3×	95 1.1×	27	1.2k
Larisa Adamian United States	14	815 1.0×	128 0.7×	61 0.5×	82 0.9×	105 1.2×	21	925
Matteo Lambrughi Denmark	19	1.0k 1.3×	192 1.0×	71 0.6×	89 1.0×	46 0.5×	39	1.3k
Rebecca F. Alford United States	6	990 1.2×	230 1.3×	82 0.7×	124 1.3×	50 0.6×	12	1.2k
Hafumi Nishi Japan	12	864 1.1×	152 0.8×	136 1.1×	56 0.6×	35 0.4×	25	1.1k
Assaf Alon United States	13	838 1.0×	147 0.8×	55 0.5×	69 0.7×	140 1.6×	17	1.1k
Catherine L. Worth Germany	21	1.2k 1.5×	154 0.8×	229 1.9×	210 2.3×	207 2.4×	29	1.6k
Benoît H. Dessailly United Kingdom	16	1.0k 1.3×	233 1.3×	91 0.7×	120 1.3×	22 0.3×	18	1.2k

Countries citing papers authored by Coos Baakman

Since Specialization

Citations

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

Fields of papers citing papers by Coos Baakman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Coos Baakman. 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 Coos Baakman. The network helps show where Coos Baakman may publish in the future.

Co-authorship network of co-authors of Coos Baakman

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Bodor, Dani L., et al.. (2024). DeepRank2: Mining 3D Protein Structures with GeometricDeep Learning. The Journal of Open Source Software. 9(94). 5983–5983. 5 indexed citations

2.

Baakman, Coos, et al.. (2023). Understanding structure-guided variant effect predictions using 3D convolutional neural networks. Frontiers in Molecular Biosciences. 10. 1204157–1204157. 8 indexed citations

3.

Wiel, Laurens, et al.. (2019). MetaDome: Pathogenicity analysis of genetic variants through aggregation of homologous human protein domains. Human Mutation. 40(8). 1030–1038. 115 indexed citations

4.

Baakman, Coos, Arthur M. A. Pistorius, Elmar Krieger, et al.. (2019). Facilities that make the PDB data collection more powerful. Protein Science. 29(1). 330–344. 6 indexed citations

5.

Singh, Dipali, et al.. (2018). A Critical Note on Symmetry Contact Artifacts and the Evaluation of the Quality of Homology Models. Symmetry. 10(1). 25–25. 1 indexed citations

6.

Schwarte, Andreas, Maika Genz, Lilly Skalden, et al.. (2017). NewProt – a protein engineering portal. Protein Engineering Design and Selection. 30(6). 441–447. 9 indexed citations

7.

Touw, Wouter G., Coos Baakman, Jon E. Black, et al.. (2014). A series of PDB-related databanks for everyday needs. Nucleic Acids Research. 43(D1). D364–D368. 697 indexed citations breakdown →

8.

Boxtel, Ruben van, Bas Vroling, Pim W. Toonen, et al.. (2010). Systematic generation of in vivo G protein-coupled receptor mutants in the rat. The Pharmacogenomics Journal. 11(5). 326–336. 17 indexed citations

9.

Vroling, Bas, Mark A Sanders, Coos Baakman, et al.. (2010). GPCRDB: information system for G protein-coupled receptors. Nucleic Acids Research. 39(Database). D309–D319. 113 indexed citations

10.

Venselaar, Hanka, Robbie P. Joosten, Bas Vroling, et al.. (2009). Homology modelling and spectroscopy, a never-ending love story. European Biophysics Journal. 39(4). 551–563. 47 indexed citations

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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