Coos Baakman

1.7k citations
10 papers · 1.0k indexed · 1 hit paper · h-index 7
Topics
Protein Structure and Dynamics (5 papers)Enzyme Structure and Function (5 papers)Advanced Proteomics Techniques and Applications (2 papers)

In The Last Decade

Coos Baakman

10 papers receiving 1.0k citations

Hit Papers

A series of PDB-related databanks for everyday needs20142026201820222014200400600

Peers

Coos Baakman
Comparison fields: 5 of 106
  • Molecular Biology 799
  • Materials Chemistry 183
  • Genetics 122
  • Computational Theory and Mathematics 93
  • Cellular and Molecular Neuroscience 87
Replace Amit Kessel with:
Amit Kessel Israel
Rebecca F. Alford United States
Till Maurer Germany
Ivana Mihalek United States
Matteo Tiberti Denmark
Matteo Lambrughi Denmark
Catherine L. Worth Germany
Larisa Adamian United States
Hafumi Nishi Japan
Kenton L. Longenecker United States
Coos Baakman relative to Amit Kessel Israel Amit Kessel's profile →
Citations per field
00.5×1.5×2.4×
Amit Kessel · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 5
2 8
3 115
4 6
5 1
6 9
7
A series of PDB-related databanks for everyday needsbreakdown →
697
8 17
9 113
10 47

About Coos Baakman

Coos Baakman is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (5 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (799 citations), Computational Theory and Mathematics (93 citations) and Cellular and Molecular Neuroscience (87 citations). Coos Baakman has collaborated with scholars based in Netherlands, Philippines and United Kingdom. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Protein Science and Human Mutation.

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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