Taylor B. Updegrove
- Genetics top 5%
- Bacterial Genetics and Biotechnology 14
- Ecology top 5%
- Bacteriophages and microbial interactions 7
- Endocrinology top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 5
- RNA Research and Splicing 5
- Bacterial biofilms and quorum sensing 3
- Protein Structure and Dynamics 2
- Genomics, phytochemicals, and oxidative stress 2
- Molecular Medicine top 10%
- Co-authors
- Gisela StorzAixia ZhangSvetlana A. ShabalinaRoger M. WartellCarol A. GrossEmily GogolMonica S. GuoBen Janson
- Cited by
- GeneticsEcologyEndocrinology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (2 papers)Genes & Development (1 paper)
- Partner nations
- United StatesSwedenSlovakia
In The Last Decade
Taylor B. Updegrove
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Genetics 608
- Ecology 406
- Endocrinology 77
- Molecular Biology 858
- Molecular Medicine 50
Countries citing papers authored by Taylor B. Updegrove
This map shows the geographic impact of Taylor B. Updegrove'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 Taylor B. Updegrove with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor B. Updegrove more than expected).
Fields of papers citing papers by Taylor B. Updegrove
This network shows the impact of papers produced by Taylor B. Updegrove. 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 Taylor B. Updegrove. The network helps show where Taylor B. Updegrove may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taylor B. Updegrove, 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 | 2024 | 6 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 13 | |
| 10 | 2017 | 8 | |
| 11 | 2016 | 230 | |
| 12 | 2016 | 31 | |
| 13 | 2015 | 113 | |
| 14 | 2015 | 72 | |
| 15 | 2012 | 95 | |
| 16 | 2011 | 35 | |
| 17 | 2011 | 34 | |
| 18 | 2011 | 43 | |
| 19 | 2010 | 46 | |
| 20 | 2009 | 14 |
About Taylor B. Updegrove
Taylor B. Updegrove is a scholar working on Genetics, Molecular Biology and Ecology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), RNA and protein synthesis mechanisms (13 papers), Bacteriophages and microbial interactions (7 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Bacterial biofilms and quorum sensing (3 papers), Protein Structure and Dynamics (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Genetics (608 citations), Ecology (406 citations) and Endocrinology (77 citations). Taylor B. Updegrove has collaborated with scholars based in United States, Sweden and Slovakia. Frequent co-authors include Gisela Storz, Aixia Zhang, Svetlana A. Shabalina, Roger M. Wartell, Carol A. Gross, Emily Gogol, Monica S. Guo, Ben Janson, Chase L. Beisel and L. Aravind. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.
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.