Ioan Moţoc
- Organic Chemistry top 10%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Atomic and Molecular Physics, and Optics
- Materials Chemistry
- Co-authors
- Garland R. MarshallJan K. LabanowskiRichard A. DammkoehlerChristopher NaylorNorman L. AllingerCharles F. BenderLawrence R. SchmitzO. E. Polansky
- Topics
- Computational Drug Discovery Methods (12 papers)Advanced Chemical Physics Studies (10 papers)Advanced Polymer Synthesis and Characterization (5 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Medicinal ChemistryChemical Physics Letters
- Partner nations
- United StatesGermanyRomania
In The Last Decade
Ioan Moţoc
38 papers receiving 622 citations
Peers
Comparison fields: 5 of 97
- Organic Chemistry 279
- Molecular Biology 263
- Computational Theory and Mathematics 248
- Atomic and Molecular Physics, and Optics 114
- Materials Chemistry 100
Countries citing papers authored by Ioan Moţoc
This map shows the geographic impact of Ioan Moţoc'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 Ioan Moţoc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioan Moţoc more than expected).
Fields of papers citing papers by Ioan Moţoc
This network shows the impact of papers produced by Ioan Moţoc. 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 Ioan Moţoc. The network helps show where Ioan Moţoc may publish in the future.
Co-authorship network of co-authors of Ioan Moţoc
This figure shows the co-authorship network connecting the top 25 collaborators of Ioan Moţoc. A scholar is included among the top collaborators of Ioan Moţoc 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 Ioan Moţoc. Ioan Moţoc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 55 | |
| 5 | 2 | |
| 6 | 111 | |
| 7 | Computer-assisted analysis of bioactivity. I. - Active conformation of histamine H1 receptor antagonists | 16 |
| 8 | Computer-assisted analysis of bioactivity. II: The interaction of lactone suicide substrates with α-chymotrypsin | 1 |
| 9 | 12 | |
| 10 | 30 | |
| 11 | 7 | |
| 12 | 43 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 5 |
About Ioan Moţoc
Ioan Moţoc is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Organic Chemistry, having authored 38 papers that have together received 689 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Advanced Chemical Physics Studies (10 papers) and Advanced Polymer Synthesis and Characterization (5 papers). The work is most often cited by research in Computational Theory and Mathematics (248 citations), Organic Chemistry (279 citations) and Geometry and Topology (67 citations). Ioan Moţoc has collaborated with scholars based in United States, Germany and Romania. Frequent co-authors include Garland R. Marshall, Jan K. Labanowski, Richard A. Dammkoehler, Christopher Naylor, Norman L. Allinger, Charles F. Bender, Lawrence R. Schmitz, O. E. Polansky, Zeno Simon and Alexandrù T. Balaban. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Chemical Physics Letters.
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.