Natasja Brooijmans
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 11
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 17
- Protein Kinase Regulation and GTPase Signaling 5
- Protein Structure and Dynamics 4
- Fibroblast Growth Factor Research 4
- Organic Chemistry top 2%
- Quinazolinone synthesis and applications 4
- Toxicology top 5%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 5
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- Fungal Plant Pathogen Control 3
- Co-authors
- Irwin D. KuntzTarek S. MansourIrwin HollanderKer YuSemiramis Ayral‐KaloustianDemetri T. MoustakasEric F. PettersenRobert C. Rizzo
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Natasja Brooijmans
41 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computational Theory and Mathematics 666
- Molecular Biology 1.8k
- Organic Chemistry 733
- Toxicology 36
- Genetics 97
Countries citing papers authored by Natasja Brooijmans
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 41 | |
| 2 | 2023 | 9 | |
| 3 | 2015 | 247 | |
| 4 | 2012 | 47 | |
| 5 | 2011 | 30 | |
| 6 | 2010 | 19 | |
| 7 | 2010 | 5 | |
| 8 | 2010 | 7 | |
| 9 | 2010 | 26 | |
| 10 | 2010 | 16 | |
| 11 | 2010 | 4 | |
| 12 | 2010 | 3 | |
| 13 | 2009 | 32 | |
| 14 | 2009 | 23 | |
| 15 | 2009 | 41 | |
| 16 | 2009 | 25 | |
| 17 | 2009 | 7 | |
| 18 | 2007 | 7 | |
| 19 | 2002 | 69 | |
| 20 | 2000 | 49 |
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.