Orest T. Macina
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 10%
- Cancer Research
- Organic Chemistry
- Co-authors
- Herbert S. RosenkranzGilles KlopmanMeryl H. KarolNancy B. SussmanG KlopmanAlbert R. CunninghamJames L. SchardeinCynthia Graham
- Topics
- Computational Drug Discovery Methods (7 papers)Carcinogens and Genotoxicity Assessment (5 papers)Effects and risks of endocrine disrupting chemicals (4 papers)
- Cited by
- Chemical Health and SafetyComputational Theory and MathematicsHealth, Toxicology and Mutagenesis
- Journals
- Environmental Health PerspectivesJournal of Medicinal ChemistryAntimicrobial Agents and Chemotherapy
- Partner nations
- United States
In The Last Decade
Orest T. Macina
27 papers receiving 497 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 203
- Molecular Biology 137
- Health, Toxicology and Mutagenesis 121
- Cancer Research 110
- Organic Chemistry 89
Countries citing papers authored by Orest T. Macina
This map shows the geographic impact of Orest T. Macina'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 Orest T. Macina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orest T. Macina more than expected).
Fields of papers citing papers by Orest T. Macina
This network shows the impact of papers produced by Orest T. Macina. 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 Orest T. Macina. The network helps show where Orest T. Macina may publish in the future.
Co-authorship network of co-authors of Orest T. Macina
This figure shows the co-authorship network connecting the top 25 collaborators of Orest T. Macina. A scholar is included among the top collaborators of Orest T. Macina 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 Orest T. Macina. Orest T. Macina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 48 | |
| 3 | 21 | |
| 4 | 1 | |
| 5 | 60 | |
| 6 | Artificial Neural Networks as Statistical Tools in SAR/QSAR Modeling | 2 |
| 7 | THE UTILITY OF MULTIPLE RANDOM SAMPLING IN THE DEVELOPMENT OF SAR MODELS | 1 |
| 8 | 4 | |
| 9 | 33 | |
| 10 | 10 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 55 | |
| 15 | 29 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 58 | |
| 20 | 11 |
About Orest T. Macina
Orest T. Macina is a scholar working on Chemical Health and Safety, Toxicology and Health, Toxicology and Mutagenesis, having authored 27 papers that have together received 528 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). The work is most often cited by research in Chemical Health and Safety (35 citations), Computational Theory and Mathematics (203 citations) and Health, Toxicology and Mutagenesis (121 citations). Orest T. Macina has collaborated with scholars based in United States. Frequent co-authors include Herbert S. Rosenkranz, Gilles Klopman, Meryl H. Karol, Nancy B. Sussman, G Klopman, Albert R. Cunningham, James L. Schardein, Cynthia Graham, Robert Gealy and Nancy Sussman. Their work appears in journals such as Environmental Health Perspectives, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.
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.