Iñaki Morao
- Organic Chemistry top 2%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Co-authors
- Fernando P. CossíoBegoña LeceaHaijun JiaoPaul von Ragué SchleyerAna ArrietaIan H. HillierAlexander HeifetzMichael P. Mazanetz
- Topics
- Computational Drug Discovery Methods (10 papers)Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (7 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Medicinal ChemistryThe Journal of Organic Chemistry
- Partner nations
- United KingdomSpainJapan
In The Last Decade
Iñaki Morao
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Organic Chemistry 768
- Molecular Biology 352
- Computational Theory and Mathematics 196
- Materials Chemistry 160
- Atomic and Molecular Physics, and Optics 141
Countries citing papers authored by Iñaki Morao
This map shows the geographic impact of Iñaki Morao'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 Iñaki Morao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iñaki Morao more than expected).
Fields of papers citing papers by Iñaki Morao
This network shows the impact of papers produced by Iñaki Morao. 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 Iñaki Morao. The network helps show where Iñaki Morao may publish in the future.
Co-authorship network of co-authors of Iñaki Morao
This figure shows the co-authorship network connecting the top 25 collaborators of Iñaki Morao. A scholar is included among the top collaborators of Iñaki Morao 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 Iñaki Morao. Iñaki Morao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 14 | |
| 10 | 44 | |
| 11 | 25 | |
| 12 | 58 | |
| 13 | 80 | |
| 14 | 15 | |
| 15 | 13 | |
| 16 | 28 | |
| 17 | 34 | |
| 18 | 213 | |
| 19 | 28 | |
| 20 | 17 |
About Iñaki Morao
Iñaki Morao is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Filtration and Separation, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Receptor Mechanisms and Signaling (10 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Organic Chemistry (768 citations), Computational Theory and Mathematics (196 citations) and Physical and Theoretical Chemistry (106 citations). Iñaki Morao has collaborated with scholars based in United Kingdom, Spain and Japan. Frequent co-authors include Fernando P. Cossío, Begoña Lecea, Haijun Jiao, Paul von Ragué Schleyer, Ana Arrieta, Ian H. Hillier, Alexander Heifetz, Michael P. Mazanetz, Anthony Linden and Andrea Townsend‐Nicholson. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic 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.