Dexter S. Goldman
- Molecular Biology
- Epidemiology
- Infectious Diseases top 10%
- Biochemistry top 5%
- Cell Biology top 10%
- Co-authors
- Kuni TakayamaClarke F. MilletteGeoffrey M. CooperAnn A. KiesslingAbraham WorcelFrank A. LornitzoHugo L. DavidW. W. Cleland
- Topics
- Enzyme function and inhibition (12 papers)Biochemical and Molecular Research (10 papers)Amino Acid Enzymes and Metabolism (7 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United States
In The Last Decade
Dexter S. Goldman
56 papers receiving 900 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 631
- Epidemiology 218
- Infectious Diseases 191
- Biochemistry 151
- Cell Biology 121
Countries citing papers authored by Dexter S. Goldman
This map shows the geographic impact of Dexter S. Goldman'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 Dexter S. Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dexter S. Goldman more than expected).
Fields of papers citing papers by Dexter S. Goldman
This network shows the impact of papers produced by Dexter S. Goldman. 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 Dexter S. Goldman. The network helps show where Dexter S. Goldman may publish in the future.
Co-authorship network of co-authors of Dexter S. Goldman
This figure shows the co-authorship network connecting the top 25 collaborators of Dexter S. Goldman. A scholar is included among the top collaborators of Dexter S. Goldman 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 Dexter S. Goldman. Dexter S. Goldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Current and future EPA requirements concerning good laboratory practices relative to vertebrate pesticides | 2 |
| 2 | Identification of the protein product of the c-mos proto-oncogene in mouse testes. | 30 |
| 3 | 130 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 67 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 8 |
About Dexter S. Goldman
Dexter S. Goldman is a scholar working on Biochemistry, Pharmaceutical Science and Toxicology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Enzyme function and inhibition (12 papers), Biochemical and Molecular Research (10 papers) and Amino Acid Enzymes and Metabolism (7 papers). The work is most often cited by research in Biochemistry (151 citations), Clinical Biochemistry (73 citations) and Infectious Diseases (191 citations). Dexter S. Goldman has collaborated with scholars based in United States. Frequent co-authors include Kuni Takayama, Clarke F. Millette, Geoffrey M. Cooper, Ann A. Kiessling, Abraham Worcel, Frank A. Lornitzo, Hugo L. David, W. W. Cleland, Helmut Beinert and Parag Acharya. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.