Dexter S. Goldman
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 7
- Clinical Biochemistry top 5%
- Infectious Diseases top 10%
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- Enzyme function and inhibition 12
- Biochemical and Molecular Research 10
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds 5
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- Mycobacterium research and diagnosis 7
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- Chemical Reactions and Isotopes 7
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- Carbohydrate Chemistry and Synthesis 6
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- Enzyme Structure and Function 5
- Co-authors
- Kuni TakayamaClarke F. MilletteGeoffrey M. CooperAnn A. KiesslingAbraham WorcelFrank A. LornitzoHugo L. DavidW. W. Cleland
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- United States
In The Last Decade
Dexter S. Goldman
56 papers receiving 900 citations
Peers
Comparison fields: 5 of 93
- Biochemistry 151
- Clinical Biochemistry 73
- Infectious Diseases 191
- Molecular Biology 631
- Pharmacology 67
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
The 25 scholars most cited alongside Dexter S. Goldman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Current and future EPA requirements concerning good laboratory practices relative to vertebrate pesticides | 1988 | 2 |
| 2 | Identification of the protein product of the c-mos proto-oncogene in mouse testes. | 1988 | 30 |
| 3 | 1987 | 130 | |
| 4 | 1970 | 12 | |
| 5 | 1970 | 7 | |
| 6 | 1969 | 5 | |
| 7 | 1968 | 19 | |
| 8 | 1965 | 4 | |
| 9 | 1965 | 67 | |
| 10 | 1965 | 18 | |
| 11 | 1963 | 8 | |
| 12 | 1963 | 11 | |
| 13 | 1963 | 1 | |
| 14 | 1962 | 8 | |
| 15 | 1960 | 8 | |
| 16 | 1959 | 10 | |
| 17 | 1958 | 8 | |
| 18 | 1955 | 1 | |
| 19 | 1954 | 4 | |
| 20 | 1954 | 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), Amino Acid Enzymes and Metabolism (7 papers), Mycobacterium research and diagnosis (7 papers), Chemical Reactions and Isotopes (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Pharmacological Effects of Natural Compounds (5 papers) and Enzyme Structure and Function (5 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.