J Stader
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in ⓘ
-
- RNA and protein synthesis mechanisms 6
- Microbial Metabolic Engineering and Bioproduction 3
- Lipid Membrane Structure and Behavior 2
- Metabolism, Diabetes, and Cancer 1
- Nuclear Structure and Function 1
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Thomas J. Silhavy (5 shared papers)Robert M. Macnab (2 shared papers)Philip Matsumura (2 shared papers)Gary E. Dean (2 shared papers)S A Benson (1 shared paper)Christian Burks (1 shared paper)Dominick Vacante (1 shared paper)Lisa J. Gansheroff (1 shared paper)
- Journals
- Journal of Bacteriology (5 papers)Journal of Biological Chemistry (2 papers)Genes & Development (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United States
In The Last Decade
J Stader
11 papers receiving 561 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 94
- Genetics 381
- Molecular Biology 483
- Cell Biology 65
- Cellular and Molecular Neuroscience 69
Countries citing papers authored by J Stader
This map shows the geographic impact of J Stader'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 Stader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Stader more than expected).
Fields of papers citing papers by J Stader
This network shows the impact of papers produced by J Stader. 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 Stader. The network helps show where J Stader may publish in the future.
Co-authors
The 13 scholars most cited alongside J Stader, 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 | 1984 | 154 | |
| 2 | 1986 | 134 | |
| 3 | 1986 | 102 | |
| 4 | 1989 | 67 | |
| 5 | 1990 | 51 | |
| 6 | 1988 | 29 | |
| 7 | 1988 | 24 | |
| 8 | Gene expression in recombinant Escherichia coli. | 1995 | 8 |
| 9 | 1994 | 5 | |
| 10 | 1994 | 4 | |
| 11 | 1994 | 2 |
About J Stader
J Stader is a scholar working on Molecular Biology, Genetics, Cell Biology, Endocrinology and Ecology, having authored 11 papers that have together received 580 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (6 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Lipid Membrane Structure and Behavior (2 papers), Escherichia coli research studies (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Nuclear Structure and Function (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Endocrinology (94 citations), Genetics (381 citations), Molecular Biology (483 citations), Cell Biology (65 citations) and Cellular and Molecular Neuroscience (69 citations). J Stader has collaborated with scholars based in United States. Frequent co-authors include Thomas J. Silhavy, Robert M. Macnab, Philip Matsumura, Gary E. Dean, S A Benson, Christian Burks, Dominick Vacante, Lisa J. Gansheroff, Carol A. Kumamoto and Andrei N. Lupas. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Genes & Development, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Molecular Biology.
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.