Chris C. Stowers
- Molecular Biology
- Biomedical Engineering
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Neurology top 10%
- Co-authors
- Larry SchmuedLulu XuAndrew C. ScalletLars K. NielsenEsteban MarcellinTim McCubbinR. Axayácatl González-GarcíaErik M. Boczko
- Topics
- Gene Regulatory Network Analysis (7 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)Biofuel production and bioconversion (5 papers)
- Partner nations
- United StatesAustraliaBulgaria
In The Last Decade
Chris C. Stowers
19 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 502
- Biomedical Engineering 225
- Cellular and Molecular Neuroscience 205
- Neurology 135
- Neurology 96
Countries citing papers authored by Chris C. Stowers
This map shows the geographic impact of Chris C. Stowers'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 Chris C. Stowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris C. Stowers more than expected).
Fields of papers citing papers by Chris C. Stowers
This network shows the impact of papers produced by Chris C. Stowers. 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 Chris C. Stowers. The network helps show where Chris C. Stowers may publish in the future.
Co-authorship network of co-authors of Chris C. Stowers
This figure shows the co-authorship network connecting the top 25 collaborators of Chris C. Stowers. A scholar is included among the top collaborators of Chris C. Stowers 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 Chris C. Stowers. Chris C. Stowers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 9 | |
| 3 | 220 | |
| 4 | 47 | |
| 5 | 55 | |
| 6 | The Structure of Populations of Budding Yeast in Response to Feedback | 8 |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 27 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | Platescale: The Birthday Problem Applied to Single Molecule PCR. | 1 |
| 14 | 1 | |
| 15 | 48 | |
| 16 | 17 | |
| 17 | 5 | |
| 18 | Fluoro-Jade C results in ultra high resolution and contrast labeling of degenerating neuronsbreakdown → | 535 |
| 19 | How patients and staff view the use of seclusion. | 2 |
About Chris C. Stowers
Chris C. Stowers is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Developmental Neuroscience (94 citations), Neurology (135 citations) and Cellular and Molecular Neuroscience (205 citations). Chris C. Stowers has collaborated with scholars based in United States, Australia and Bulgaria. Frequent co-authors include Larry Schmued, Lulu Xu, Andrew C. Scallet, Lars K. Nielsen, Esteban Marcellin, Tim McCubbin, R. Axayácatl González-García, Erik M. Boczko, Laura Navone and Brandon Rodriguez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain Research and Green Chemistry.
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.