S Broome
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Virus-based gene therapy research
- Animal Genetics and Reproduction
-
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 2
- Protein purification and stability 1
- Biochemical and Molecular Research 1
- RNA and protein synthesis mechanisms 1
- Genetics 3
- Co-authors
- Richard Tizard (3 shared papers)Peter T. Lomedico (3 shared papers)Argiris Efstratiadis (3 shared papers)Stephen P. Naber (3 shared papers)Lydia Villa‐Komaroff (4 shared papers)William L. Chick (3 shared papers)W Gilbert (2 shared papers)Walter Gilbert (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Gene (1 paper)Cell (1 paper)Development (1 paper)PubMed (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
S Broome
7 papers receiving 644 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Genetics 226
- Molecular Biology 497
- Immunology 83
- Endocrinology, Diabetes and Metabolism 57
- Biotechnology 29
Countries citing papers authored by S Broome
This map shows the geographic impact of S Broome'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 S Broome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Broome more than expected).
Fields of papers citing papers by S Broome
This network shows the impact of papers produced by S Broome. 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 S Broome. The network helps show where S Broome may publish in the future.
Co-authors
The 17 scholars most cited alongside S Broome, 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 | A bacterial clone synthesizing proinsulin. Hit paper breakdown → | 1978 | 410 |
| 2 | Simplified northern blot hybridization using 5% sodium dodecyl sulfate. | 1990 | 141 |
| 3 | 1978 | 123 | |
| 4 | 1985 | 67 | |
| 5 | 1988 | 26 | |
| 6 | The synthesis of insulin in bacteria: a model for the production of medically useful proteins in prokaryotic cells. | 1980 | 3 |
| 7 | 1983 | 2 | |
| 8 | A bacterial clone synthesizing proinsulin. 1978. | 1992 | 0 |
About S Broome
S Broome is a scholar working on Molecular Biology, Genetics, Surgery, Ecology and Agronomy and Crop Science, having authored 8 papers that have together received 772 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Pancreatic function and diabetes (1 paper), Diabetes Management and Research (1 paper), Animal Disease Management and Epidemiology (1 paper), Protein purification and stability (1 paper), Biochemical and Molecular Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (226 citations), Molecular Biology (497 citations), Immunology (83 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Biotechnology (29 citations). S Broome has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard Tizard, Peter T. Lomedico, Argiris Efstratiadis, Stephen P. Naber, Lydia Villa‐Komaroff, William L. Chick, W Gilbert, Walter Gilbert, G. Duke Virca and Brian Shiels. Their work appears in journals such as Proceedings of the National Academy of Sciences, Gene, Cell, Development and PubMed.
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.