J. Silverman
Impact in
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- Microbial metabolism and enzyme function
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
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- Reproductive Health and Technologies
Papers in
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- Protein Structure and Dynamics 3
- Microbial Metabolic Engineering and Bioproduction 2
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- Enzyme Structure and Function 4
- Co-authors
- Pehr B. Harbury (4 shared papers)Marina Kalyuzhnaya (1 shared paper)Peter Strong (1 shared paper)William P. Clarke (1 shared paper)M. Rappaport (4 shared papers)H. Kenneth Hopkins (3 shared papers)Rekha Balakrishnan (1 shared paper)Karyl M. Hall (2 shared papers)
- Journals
- Science (2 papers)ACS Synthetic Biology (1 paper)Schizophrenia Research (1 paper)Psychopharmacology (1 paper)Chemical Science (1 paper)
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
J. Silverman
16 papers receiving 587 citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 366
- Reproductive Medicine 42
- Cognitive Neuroscience 67
- Biochemistry 24
- Building and Construction 42
Countries citing papers authored by J. Silverman
This map shows the geographic impact of J. Silverman'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 J. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Silverman more than expected).
Fields of papers citing papers by J. Silverman
This network shows the impact of papers produced by J. Silverman. 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 J. Silverman. The network helps show where J. Silverman may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Silverman, 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 | 2016 | 172 | |
| 2 | 2001 | 75 | |
| 3 | 1970 | 73 | |
| 4 | 2002 | 63 | |
| 5 | 2014 | 56 | |
| 6 | 2008 | 45 | |
| 7 | 1971 | 35 | |
| 8 | 2014 | 32 | |
| 9 | 2002 | 31 | |
| 10 | 1972 | 17 | |
| 11 | 2017 | 11 | |
| 12 | Stress, stimulus intensity control, and the structural integration technique. | 1973 | 8 |
| 13 | 2023 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 1995 | 1 | |
| 17 | 2019 | 0 | |
| 18 | 2025 | 0 |
About J. Silverman
J. Silverman is a scholar working on Molecular Biology, Materials Chemistry, Physiology, Social Psychology and Urology, having authored 18 papers that have together received 623 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers), Psychological and Educational Research Studies (2 papers), Urinary Bladder and Prostate Research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Communication in Education and Healthcare (2 papers) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Molecular Biology (366 citations), Reproductive Medicine (42 citations), Cognitive Neuroscience (67 citations), Biochemistry (24 citations) and Building and Construction (42 citations). J. Silverman has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Pehr B. Harbury, Marina Kalyuzhnaya, Peter Strong, William P. Clarke, M. Rappaport, H. Kenneth Hopkins, Rekha Balakrishnan, Karyl M. Hall, Peter A. Walker and Rhiju Das. Their work appears in journals such as Science, ACS Synthetic Biology, Schizophrenia Research, Psychopharmacology and Chemical Science.
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.