Paul H. Axelsen
- Molecular Biology top 2%
- Pharmacology top 0.5%
- Physiology top 2%
- Organic Chemistry top 2%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Loraine SilvestroJoel L. SussmanIan MurrayGözde EskiciIsrael SilmanVishwanath KoppakaPatrick J. LollMichal Harel
- Topics
- Alzheimer's disease research and treatments (23 papers)Lipid Membrane Structure and Behavior (22 papers)Spectroscopy and Quantum Chemical Studies (20 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Paul H. Axelsen
109 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 3.3k
- Pharmacology 1.3k
- Physiology 1.3k
- Organic Chemistry 979
- Computational Theory and Mathematics 949
Countries citing papers authored by Paul H. Axelsen
This map shows the geographic impact of Paul H. Axelsen'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 Paul H. Axelsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul H. Axelsen more than expected).
Fields of papers citing papers by Paul H. Axelsen
This network shows the impact of papers produced by Paul H. Axelsen. 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 Paul H. Axelsen. The network helps show where Paul H. Axelsen may publish in the future.
Co-authorship network of co-authors of Paul H. Axelsen
This figure shows the co-authorship network connecting the top 25 collaborators of Paul H. Axelsen. A scholar is included among the top collaborators of Paul H. Axelsen 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 Paul H. Axelsen. Paul H. Axelsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 73 | |
| 8 | 1 | |
| 9 | 199 | |
| 10 | 38 | |
| 11 | 65 | |
| 12 | 72 | |
| 13 | 59 | |
| 14 | 13 | |
| 15 | 176 | |
| 16 | 9 | |
| 17 | 78 | |
| 18 | 220 | |
| 19 | 35 | |
| 20 | 36 |
About Paul H. Axelsen
Paul H. Axelsen is a scholar working on Molecular Biology, Physiology and Biochemistry, having authored 113 papers that have together received 6.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), Lipid Membrane Structure and Behavior (22 papers) and Spectroscopy and Quantum Chemical Studies (20 papers). The work is most often cited by research in Microbiology (501 citations), Pharmacology (1.3k citations) and Computational Theory and Mathematics (949 citations). Paul H. Axelsen has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Loraine Silvestro, Joel L. Sussman, Ian Murray, Gözde Eskici, Israel Silman, Vishwanath Koppaka, Patrick J. Loll, Michal Harel, Robert C. Murphy and Hiroaki Komatsu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.