Daniel F. Ortwine
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Oncology top 5%
- Cancer Research top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- A.G. PavlovskyBruce D. RothDrago R. SliskovicElizabeth A. LunneyChristopher F. BiggeLeslie M. WerbelDonald HupeRichard D. Dyer
- Topics
- Computational Drug Discovery Methods (10 papers)Quinazolinone synthesis and applications (8 papers)Synthesis and Biological Evaluation (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel F. Ortwine
64 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.3k
- Organic Chemistry 1.1k
- Oncology 516
- Cancer Research 345
- Computational Theory and Mathematics 293
Countries citing papers authored by Daniel F. Ortwine
This map shows the geographic impact of Daniel F. Ortwine'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 Daniel F. Ortwine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Ortwine more than expected).
Fields of papers citing papers by Daniel F. Ortwine
This network shows the impact of papers produced by Daniel F. Ortwine. 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 Daniel F. Ortwine. The network helps show where Daniel F. Ortwine may publish in the future.
Co-authorship network of co-authors of Daniel F. Ortwine
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Ortwine. A scholar is included among the top collaborators of Daniel F. Ortwine 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 Daniel F. Ortwine. Daniel F. Ortwine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 37 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 23 | |
| 6 | 13 | |
| 7 | 26 | |
| 8 | 37 | |
| 9 | 338 | |
| 10 | 28 | |
| 11 | 74 | |
| 12 | 12 | |
| 13 | 12 | |
| 14 | 50 | |
| 15 | 45 | |
| 16 | 45 | |
| 17 | 49 | |
| 18 | 151 | |
| 19 | 83 | |
| 20 | 25 |
About Daniel F. Ortwine
Daniel F. Ortwine is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Toxicology, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Quinazolinone synthesis and applications (8 papers) and Synthesis and Biological Evaluation (7 papers). The work is most often cited by research in Organic Chemistry (1.1k citations), Physiology (108 citations) and Cancer Research (345 citations). Daniel F. Ortwine has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include A.G. Pavlovsky, Bruce D. Roth, Drago R. Sliskovic, Elizabeth A. Lunney, Christopher F. Bigge, Leslie M. Werbel, Donald Hupe, Richard D. Dyer, Peter A. Boxer and Roger S. Newton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.