Eric Haaksma
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
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- Computational Drug Discovery Methods
Papers in
-
- Receptor Mechanisms and Signaling 15
- Chemical Synthesis and Analysis 12
- Protein Structure and Dynamics 4
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- Synthesis and Biological Evaluation 4
- Co-authors
- Rob Leurs (16 shared papers)Iwan J. P. de Esch (14 shared papers)Oliver Kraemer (2 shared papers)Michael P. Sanderson (2 shared papers)Andreas Zoephel (2 shared papers)Frank Himmelsbach (1 shared paper)Christian Klein (1 shared paper)Gerd Bader (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Journal of Computer-Aided Molecular Design (2 papers)Journal of Chemical Information and Modeling (2 papers)MedChemComm (2 papers)
- Partner nations
- AustriaNetherlandsGermany
In The Last Decade
Eric Haaksma
33 papers receiving 1.9k citations
Eric Haaksma's Hit Papers
Peers
Comparison fields: 5 of 97
- Oncology 466
- Computational Theory and Mathematics 317
- Molecular Biology 1.0k
- Pulmonary and Respiratory Medicine 411
- Immunology 264
Countries citing papers authored by Eric Haaksma
This map shows the geographic impact of Eric Haaksma'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 Eric Haaksma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Haaksma more than expected).
Fields of papers citing papers by Eric Haaksma
This network shows the impact of papers produced by Eric Haaksma. 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 Eric Haaksma. The network helps show where Eric Haaksma may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Haaksma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Target Binding Properties and Cellular Activity of Afatinib (BIBW 2992), an Irreversible ErbB Family Blocker Hit paper breakdown → | 2012 | 713 |
| 2 | 2010 | 193 | |
| 3 | 2000 | 166 | |
| 4 | 2000 | 157 | |
| 5 | 2008 | 82 | |
| 6 | 2005 | 80 | |
| 7 | 1990 | 71 | |
| 8 | 2008 | 56 | |
| 9 | 2008 | 43 | |
| 10 | 2008 | 41 | |
| 11 | A new generation of anti-histamines: Histamine H4 receptor antagonists on their way to the clinic. | 2009 | 39 |
| 12 | 2009 | 35 | |
| 13 | 2009 | 29 | |
| 14 | 2013 | 28 | |
| 15 | 2012 | 25 | |
| 16 | 2012 | 22 | |
| 17 | 2015 | 16 | |
| 18 | 2010 | 16 | |
| 19 | 2003 | 16 | |
| 20 | 2015 | 16 |
About Eric Haaksma
Eric Haaksma is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Oncology and Computational Theory and Mathematics, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Chemical Synthesis and Analysis (12 papers), Mast cells and histamine (10 papers), Computational Drug Discovery Methods (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Protein Structure and Dynamics (4 papers), Synthesis and Biological Evaluation (4 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Oncology (466 citations), Computational Theory and Mathematics (317 citations), Molecular Biology (1.0k citations), Pulmonary and Respiratory Medicine (411 citations) and Immunology (264 citations). Eric Haaksma has collaborated with scholars based in Austria, Netherlands and Germany. Frequent co-authors include Rob Leurs, Iwan J. P. de Esch, Oliver Kraemer, Michael P. Sanderson, Andreas Zoephel, Frank Himmelsbach, Christian Klein, Gerd Bader, Flavio Solca and Guenther R. Adolf. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling and MedChemComm.
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.