David M. Reif
- Health, Toxicology and Mutagenesis top 0.2%
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Small Animals top 0.2%
- Pollution top 1%
- Co-authors
- Richard JudsonDavid J. DixMatthew T. MartinThomas B. KnudsenRobert J. KavlockKeith A. HouckAnn M. RichardAlison A. Motsinger‐Reif
- Topics
- Computational Drug Discovery Methods (30 papers)Effects and risks of endocrine disrupting chemicals (27 papers)Animal testing and alternatives (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyNature Biotechnology
- Partner nations
- United StatesCanadaSweden
In The Last Decade
David M. Reif
140 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Health, Toxicology and Mutagenesis 2.8k
- Molecular Biology 2.0k
- Computational Theory and Mathematics 1.3k
- Small Animals 1.1k
- Pollution 681
Countries citing papers authored by David M. Reif
This map shows the geographic impact of David M. Reif'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 David M. Reif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Reif more than expected).
Fields of papers citing papers by David M. Reif
This network shows the impact of papers produced by David M. Reif. 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 David M. Reif. The network helps show where David M. Reif may publish in the future.
Co-authorship network of co-authors of David M. Reif
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Reif. A scholar is included among the top collaborators of David M. Reif 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 David M. Reif. David M. Reif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 42 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 31 | |
| 12 | 114 | |
| 13 | 58 | |
| 14 | 39 | |
| 15 | 27 | |
| 16 | 7 | |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 160 |
About David M. Reif
David M. Reif is a scholar working on Health, Toxicology and Mutagenesis, Small Animals and Computational Theory and Mathematics, having authored 146 papers that have together received 6.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (30 papers), Effects and risks of endocrine disrupting chemicals (27 papers) and Animal testing and alternatives (18 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.8k citations), Small Animals (1.1k citations) and Chemical Health and Safety (78 citations). David M. Reif has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Richard Judson, David J. Dix, Matthew T. Martin, Thomas B. Knudsen, Robert J. Kavlock, Keith A. Houck, Ann M. Richard, Alison A. Motsinger‐Reif, Jason H. Moore and Nisha S. Sipes. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Nature Biotechnology.
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.