Keesha E. Erickson
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
-
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
Papers in
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- Antibiotic Resistance in Bacteria 4
- Genetics 8
- Bacterial Genetics and Biotechnology 5
- Evolution and Genetic Dynamics 4
- Co-authors
- Anushree Chatterjee (12 shared papers)Peter B. Otoupal (5 shared papers)Thomas R. Aunins (4 shared papers)Richard G. Posner (4 shared papers)William S. Hlavacek (5 shared papers)Ryan T. Gill (4 shared papers)Boris N Kholodenko (3 shared papers)Oleksii S. Rukhlenko (3 shared papers)
- Journals
- ACS Synthetic Biology (3 papers)Communications Biology (2 papers)Frontiers in Microbiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biotechnology and Bioengineering (1 paper)
- Partner nations
- United StatesIrelandLuxembourg
In The Last Decade
Keesha E. Erickson
19 papers receiving 342 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 39
- Genetics 84
- Molecular Biology 207
- Physiology 72
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Keesha E. Erickson
This map shows the geographic impact of Keesha E. Erickson'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 Keesha E. Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keesha E. Erickson more than expected).
Fields of papers citing papers by Keesha E. Erickson
This network shows the impact of papers produced by Keesha E. Erickson. 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 Keesha E. Erickson. The network helps show where Keesha E. Erickson may publish in the future.
Co-authors
The 25 scholars most cited alongside Keesha E. Erickson, 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 | 2018 | 82 | |
| 2 | 2018 | 57 | |
| 3 | 2017 | 30 | |
| 4 | 2020 | 23 | |
| 5 | 2016 | 23 | |
| 6 | 2021 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 12 | |
| 12 | 2017 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2014 | 6 | |
| 16 | 2016 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2019 | 2 |
About Keesha E. Erickson
Keesha E. Erickson is a scholar working on Molecular Medicine, Genetics, Molecular Biology, Computational Theory and Mathematics and Clinical Biochemistry, having authored 19 papers that have together received 351 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (6 papers), CRISPR and Genetic Engineering (5 papers), Gene Regulatory Network Analysis (5 papers), Bacterial Genetics and Biotechnology (5 papers), Evolution and Genetic Dynamics (4 papers), Antibiotic Resistance in Bacteria (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Molecular Medicine (39 citations), Genetics (84 citations), Molecular Biology (207 citations), Physiology (72 citations) and Applied Microbiology and Biotechnology (5 citations). Keesha E. Erickson has collaborated with scholars based in United States, Ireland and Luxembourg. Frequent co-authors include Anushree Chatterjee, Peter B. Otoupal, Thomas R. Aunins, Richard G. Posner, William S. Hlavacek, Ryan T. Gill, Boris N Kholodenko, Oleksii S. Rukhlenko, Luis Zea and Nripesh Prasad. Their work appears in journals such as ACS Synthetic Biology, Communications Biology, Frontiers in Microbiology, Proceedings of the National Academy of Sciences and Biotechnology and Bioengineering.
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.