Charles W. Garner
- Molecular Biology top 5%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Cell Biology top 5%
- Co-authors
- Gustav E. LienhardLouis C. SmithWilliam S. LaneKenneth RiceSusan E. KaneJohn M. AsaraHiroyuki SanoCristinel P. Mı̂inea
- Topics
- Metabolism, Diabetes, and Cancer (7 papers)Peptidase Inhibition and Analysis (5 papers)Neuropeptides and Animal Physiology (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Charles W. Garner
46 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.8k
- Surgery 710
- Endocrinology, Diabetes and Metabolism 478
- Physiology 423
- Cell Biology 361
Countries citing papers authored by Charles W. Garner
This map shows the geographic impact of Charles W. Garner'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 Charles W. Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles W. Garner more than expected).
Fields of papers citing papers by Charles W. Garner
This network shows the impact of papers produced by Charles W. Garner. 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 Charles W. Garner. The network helps show where Charles W. Garner may publish in the future.
Co-authorship network of co-authors of Charles W. Garner
This figure shows the co-authorship network connecting the top 25 collaborators of Charles W. Garner. A scholar is included among the top collaborators of Charles W. Garner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles W. Garner. Charles W. Garner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 36 | |
| 3 | Insulin-stimulated Phosphorylation of a Rab GTPase-activating Protein Regulates GLUT4 Translocationbreakdown → | 749 |
| 4 | 10 | |
| 5 | 40 | |
| 6 | 19 | |
| 7 | 24 | |
| 8 | Phosphorylation of microtubule-associated proteins MAP2a,b and MAP2c at Ser136 by proline-directed kinases in vivo and in vitro. | 51 |
| 9 | 46 | |
| 10 | 24 | |
| 11 | 88 | |
| 12 | 58 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 15 | |
| 17 | 9 | |
| 18 | 26 | |
| 19 | 11 | |
| 20 | 3 |
About Charles W. Garner
Charles W. Garner is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Molecular Biology, having authored 46 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Peptidase Inhibition and Analysis (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (478 citations), Molecular Biology (1.8k citations) and Cell Biology (361 citations). Charles W. Garner has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gustav E. Lienhard, Louis C. Smith, William S. Lane, Kenneth Rice, Susan E. Kane, John M. Asara, Hiroyuki Sano, Cristinel P. Mı̂inea, Richard L. Jackson and H. Nordean Baker. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.
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.