John Grable
Impact in
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 7
- DNA and Nucleic Acid Chemistry 6
- Advanced biosensing and bioanalysis techniques 1
- Diffusion and Search Dynamics 1
- CRISPR and Genetic Engineering 1
- Ecology 4
- Bacteriophages and microbial interactions 4
- Co-authors
- John M. Rosenberg (8 shared papers)Patricia J. Greene (6 shared papers)Herbert W. Boyer (4 shared papers)Christin Frederick (4 shared papers)Bi‐Cheng Wang (3 shared papers)Judith A. McClarin (2 shared papers)Youngchang Kim (1 shared paper)Robert A. Love (1 shared paper)
- Journals
- Science (2 papers)Biochemistry (1 paper)Nature (1 paper)Trends in Biochemical Sciences (1 paper)Journal of Biomolecular Structure and Dynamics (1 paper)
- Partner nations
- United States
In The Last Decade
John Grable
8 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 1.0k
- Genetics 330
- Ecology 189
- Biophysics 28
- Virology 15
Countries citing papers authored by John Grable
This map shows the geographic impact of John Grable'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 John Grable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Grable more than expected).
Fields of papers citing papers by John Grable
This network shows the impact of papers produced by John Grable. 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 John Grable. The network helps show where John Grable may publish in the future.
Co-authors
The 23 scholars most cited alongside John Grable, 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 | 1986 | 430 | |
| 2 | 1990 | 289 | |
| 3 | 1984 | 250 | |
| 4 | 1983 | 86 | |
| 5 | 1989 | 27 | |
| 6 | 1984 | 11 | |
| 7 | 1987 | 10 | |
| 8 | 1981 | 1 |
About John Grable
John Grable is a scholar working on Molecular Biology, Ecology, Genetics, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers), Advanced biosensing and bioanalysis techniques (1 paper), Diffusion and Search Dynamics (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Genetics (330 citations), Ecology (189 citations), Biophysics (28 citations) and Virology (15 citations). John Grable has collaborated with scholars based in United States. Frequent co-authors include John M. Rosenberg, Patricia J. Greene, Herbert W. Boyer, Christin Frederick, Bi‐Cheng Wang, Judith A. McClarin, Youngchang Kim, Robert A. Love, Linda Jen‐Jacobson and Cleopas T. Samudzi. Their work appears in journals such as Science, Biochemistry, Nature, Trends in Biochemical Sciences and Journal of Biomolecular Structure and Dynamics.
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.