Joseph F. Contrera
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cancer Research top 5%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Edwin J. MatthewsR. BenzNaomi L. KruhlakM. J. KuharJay SimonM. GoldsteinAlbert S. GordonE B De Souza
- Topics
- Computational Drug Discovery Methods (19 papers)Carcinogens and Genotoxicity Assessment (15 papers)Neurotransmitter Receptor Influence on Behavior (8 papers)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
Joseph F. Contrera
64 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 818
- Molecular Biology 717
- Cellular and Molecular Neuroscience 582
- Cancer Research 478
- Health, Toxicology and Mutagenesis 336
Countries citing papers authored by Joseph F. Contrera
This map shows the geographic impact of Joseph F. Contrera'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 Joseph F. Contrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph F. Contrera more than expected).
Fields of papers citing papers by Joseph F. Contrera
This network shows the impact of papers produced by Joseph F. Contrera. 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 Joseph F. Contrera. The network helps show where Joseph F. Contrera may publish in the future.
Co-authorship network of co-authors of Joseph F. Contrera
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph F. Contrera. A scholar is included among the top collaborators of Joseph F. Contrera 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 Joseph F. Contrera. Joseph F. Contrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 32 | |
| 3 | 32 | |
| 4 | 24 | |
| 5 | 33 | |
| 6 | 56 | |
| 7 | 46 | |
| 8 | 50 | |
| 9 | 29 | |
| 10 | 43 | |
| 11 | 42 | |
| 12 | 71 | |
| 13 | 28 | |
| 14 | 66 | |
| 15 | 79 | |
| 16 | 106 | |
| 17 | 25 | |
| 18 | 88 | |
| 19 | 101 | |
| 20 | 34 |
About Joseph F. Contrera
Joseph F. Contrera is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics and Toxicology, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Carcinogens and Genotoxicity Assessment (15 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). The work is most often cited by research in Chemical Health and Safety (36 citations), Computational Theory and Mathematics (818 citations) and Toxicology (119 citations). Joseph F. Contrera has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Edwin J. Matthews, R. Benz, Naomi L. Kruhlak, M. J. Kuhar, Jay Simon, M. Goldstein, Albert S. Gordon, E B De Souza, N M Appel and Michael C. Cimino. Their work appears in journals such as Nature, Science 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.