Natasja Brooijmans

3.7k citations
42 papers · 2.6k indexed · 1 hit paper · h-index 24

Natasja Brooijmans

41 papers receiving 2.5k citations

Hit Papers

Molecular Recognition and Docking Algorithms5662003202620102018100200300400500

Peers

Natasja Brooijmans
Comparison fields: 5 of 124
  • Computational Theory and Mathematics 666
  • Molecular Biology 1.8k
  • Organic Chemistry 733
  • Toxicology 36
  • Genetics 97
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Peichen Pan China
Brian Dymock Singapore
Helge Weissig United States
Fabrizio Giordanetto Sweden
Anang A. Shelat United States
Daniel Martinez Molina Sweden
Julian Blagg United Kingdom
Rozbeh Jafari Sweden
John S. Sack United States
Paul D. Lyne United States
Natasja Brooijmans relative to Peichen Pan China Peichen Pan's profile →
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Citations per year

Countries citing papers authored by Natasja Brooijmans

Since Specialization
Citations

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

Fields of papers citing papers by Natasja Brooijmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Natasja Brooijmans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Natasja Brooijmans Line = papers co-authored together Natasja Brooijmans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202341
2 20239
3 2015247
4 201247
5 201130
6 201019
7 20105
8 20107
9 201026
10 201016
11 20104
12 20103
13 200932
14 200923
15 200941
16 200925
17 20097
18 20077
19 200269
20 200049

About Natasja Brooijmans

Natasja Brooijmans is a scholar working on Computational Theory and Mathematics, Molecular Biology and Genetics, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (17 papers), Computational Drug Discovery Methods (11 papers), Chronic Lymphocytic Leukemia Research (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Protein Structure and Dynamics (4 papers), Fibroblast Growth Factor Research (4 papers), Quinazolinone synthesis and applications (4 papers) and Fungal Plant Pathogen Control (3 papers). The work is most often cited by research in Computational Theory and Mathematics (666 citations), Molecular Biology (1.8k citations) and Organic Chemistry (733 citations). Natasja Brooijmans has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Irwin D. Kuntz, Tarek S. Mansour, Irwin Hollander, Ker Yu, Semiramis Ayral‐Kaloustian, Demetri T. Moustakas, Eric F. Pettersen, Robert C. Rizzo, Scott C.‐H. Pegg and P. Therese Lang. Their work appears in journals such as PLoS ONE, Cancer Research and Journal of Medicinal Chemistry.

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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