Ken Gable
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Plant biochemistry and biosynthesis 3
- Fungal and yeast genetics research 3
- Metabolism, Diabetes, and Cancer 2
- Sphingolipid Metabolism and Signaling 2
- Microbial Metabolic Engineering and Bioproduction 2
-
- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Teresa Dunn (15 shared papers)Troy Beeler (5 shared papers)Dagmar Bačíková (5 shared papers)Erin Monaghan (5 shared papers)Sepp D. Kohlwein (2 shared papers)Johnathan A. Napier (3 shared papers)Gongshe Han (3 shared papers)Frédéric Beaudoin (2 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Yeast (1 paper)The Journal of Membrane Biology (1 paper)Journal of Neuroscience (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustriaNetherlands
In The Last Decade
Ken Gable
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 77
- Biochemistry 306
- Cell Biology 572
- Molecular Biology 1.3k
- Plant Science 367
- Aging 15
Countries citing papers authored by Ken Gable
This map shows the geographic impact of Ken Gable'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 Ken Gable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Gable more than expected).
Fields of papers citing papers by Ken Gable
This network shows the impact of papers produced by Ken Gable. 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 Ken Gable. The network helps show where Ken Gable may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Gable, 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 | 228 | |
| 2 | 2001 | 191 | |
| 3 | 1998 | 167 | |
| 4 | 2000 | 153 | |
| 5 | 2004 | 117 | |
| 6 | 1997 | 116 | |
| 7 | 1994 | 98 | |
| 8 | 2002 | 94 | |
| 9 | 2002 | 90 | |
| 10 | 2009 | 76 | |
| 11 | 2002 | 73 | |
| 12 | 2004 | 50 | |
| 13 | 2003 | 40 | |
| 14 | 2000 | 16 | |
| 15 | 2002 | 15 | |
| 16 | 1997 | 5 |
About Ken Gable
Ken Gable is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Plant Science and Physiology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Lipid metabolism and biosynthesis (4 papers), Plant biochemistry and biosynthesis (3 papers), Fungal and yeast genetics research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Biochemistry (306 citations), Cell Biology (572 citations), Molecular Biology (1.3k citations), Plant Science (367 citations) and Aging (15 citations). Ken Gable has collaborated with scholars based in United States, Austria and Netherlands. Frequent co-authors include Teresa Dunn, Troy Beeler, Dagmar Bačíková, Erin Monaghan, Sepp D. Kohlwein, Johnathan A. Napier, Gongshe Han, Frédéric Beaudoin, Sandra Eder and Charles E. Martin. Their work appears in journals such as Journal of Biological Chemistry, Yeast, The Journal of Membrane Biology, Journal of Neuroscience and Proceedings of the National Academy of Sciences.
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.