Keesha E. Erickson
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
-
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 6
- CRISPR and Genetic Engineering 5
- Gene Regulatory Network Analysis 4
- Melanoma and MAPK Pathways 2
- Protein Kinase Regulation and GTPase Signaling 2
- 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)Ryan T. Gill (4 shared papers)Boris Ν. Kholodenko (3 shared papers)David M. Klaus (1 shared paper)Angela Jones (1 shared paper)Shawn Levy (1 shared paper)
- Journals
- ACS Synthetic Biology (3 papers)Communications Biology (2 papers)ACS Infectious Diseases (1 paper)Biotechnology and Bioengineering (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesIrelandGreece
In The Last Decade
Keesha E. Erickson
18 papers receiving 310 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 39
- Molecular Biology 192
- Genetics 76
- Physiology 65
- 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 | 75 | |
| 2 | 2018 | 50 | |
| 3 | 2017 | 27 | |
| 4 | 2020 | 22 | |
| 5 | 2016 | 20 | |
| 6 | 2021 | 15 | |
| 7 | 2015 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2019 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2016 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2017 | 2 |
About Keesha E. Erickson
Keesha E. Erickson is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Epidemiology and Computational Theory and Mathematics, having authored 18 papers that have together received 315 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (6 papers), Bacterial Genetics and Biotechnology (5 papers), CRISPR and Genetic Engineering (5 papers), Antibiotic Resistance in Bacteria (4 papers), Evolution and Genetic Dynamics (4 papers), Gene Regulatory Network Analysis (4 papers), Melanoma and MAPK Pathways (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Molecular Medicine (39 citations), Molecular Biology (192 citations), Genetics (76 citations), Physiology (65 citations) and Applied Microbiology and Biotechnology (5 citations). Keesha E. Erickson has collaborated with scholars based in United States, Ireland and Greece. Frequent co-authors include Anushree Chatterjee, Peter B. Otoupal, Thomas R. Aunins, Ryan T. Gill, Boris Ν. Kholodenko, David M. Klaus, Angela Jones, Shawn Levy, William S. Hlavacek and Luis Zea. Their work appears in journals such as ACS Synthetic Biology, Communications Biology, ACS Infectious Diseases, Biotechnology and Bioengineering and PLoS Computational Biology.
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.