Keith J. Indge
Impact in
- Molecular Biology top 10%
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
Papers in
-
- Fungal and yeast genetics research 8
- RNA and protein synthesis mechanisms 6
- RNA Research and Splicing 2
- Polyamine Metabolism and Applications 2
-
- Amino Acid Enzymes and Metabolism 2
- Co-authors
- Stephen G. Oliver (5 shared papers)John R. Warmington (3 shared papers)Richard B. Waring (2 shared papers)Carol S. Newlon (2 shared papers)Robert E. Childs (1 shared paper)Allison A. Eddy (2 shared papers)Jessica Nowacki (1 shared paper)R. Wayne Davies (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Yeast (2 papers)Nature (2 papers)Biochemical Journal (2 papers)Journal of General Microbiology (5 papers)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Keith J. Indge
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 954
- Plant Science 270
- Cell Biology 96
- Biochemistry 37
- Genetics 122
Countries citing papers authored by Keith J. Indge
This map shows the geographic impact of Keith J. Indge'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 Keith J. Indge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith J. Indge more than expected).
Fields of papers citing papers by Keith J. Indge
This network shows the impact of papers produced by Keith J. Indge. 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 Keith J. Indge. The network helps show where Keith J. Indge may publish in the future.
Co-authors
The 20 scholars most cited alongside Keith J. Indge, 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 | 1997 | 342 | |
| 2 | 1994 | 332 | |
| 3 | 1985 | 91 | |
| 4 | 1968 | 61 | |
| 5 | 1970 | 53 | |
| 6 | 1986 | 48 | |
| 7 | 1968 | 42 | |
| 8 | 1985 | 42 | |
| 9 | 1976 | 36 | |
| 10 | 1968 | 30 | |
| 11 | 1968 | 22 | |
| 12 | 1977 | 15 | |
| 13 | 1995 | 11 | |
| 14 | 1981 | 8 | |
| 15 | 1994 | 2 |
About Keith J. Indge
Keith J. Indge is a scholar working on Molecular Biology, Biochemistry, Plant Science, Cell Biology and Spectroscopy, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), RNA and protein synthesis mechanisms (6 papers), Mass Spectrometry Techniques and Applications (2 papers), Hemoglobin structure and function (2 papers), Chromosomal and Genetic Variations (2 papers), Amino Acid Enzymes and Metabolism (2 papers), RNA Research and Splicing (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Molecular Biology (954 citations), Plant Science (270 citations), Cell Biology (96 citations), Biochemistry (37 citations) and Genetics (122 citations). Keith J. Indge has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Stephen G. Oliver, John R. Warmington, Richard B. Waring, Carol S. Newlon, Robert E. Childs, Allison A. Eddy, Jessica Nowacki, R. Wayne Davies, Rashida Anwar and Melanie J. Dobson. Their work appears in journals such as Nucleic Acids Research, Yeast, Nature, Biochemical Journal and Journal of General Microbiology.
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.