Gemma C. Atkinson
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- RNA and protein synthesis mechanisms 46
- RNA modifications and cancer 21
- Genomics and Phylogenetic Studies 11
- RNA Research and Splicing 5
- Bacterial biofilms and quorum sensing 4
- Genetics 19
- Bacterial Genetics and Biotechnology 19
- Co-authors
- Vasili Hauryliuk (41 shared papers)Tanel Tenson (24 shared papers)Kenn Gerdes (1 shared paper)Katsuhiko Murakami (1 shared paper)Daniel N. Wilson (15 shared papers)Victoriia Murina (10 shared papers)Chayan Kumar Saha (7 shared papers)Sandra L. Baldauf (3 shared papers)
In The Last Decade
Gemma C. Atkinson
61 papers receiving 3.1k citations
Gemma C. Atkinson's Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Medicine 490
- Endocrinology 269
- Genetics 1.0k
- Molecular Biology 2.3k
- Ecology 631
Countries citing papers authored by Gemma C. Atkinson
This map shows the geographic impact of Gemma C. Atkinson'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 Gemma C. Atkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma C. Atkinson more than expected).
Fields of papers citing papers by Gemma C. Atkinson
This network shows the impact of papers produced by Gemma C. Atkinson. 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 Gemma C. Atkinson. The network helps show where Gemma C. Atkinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma C. Atkinson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent functional insights into the role of (p)ppGpp in bacterial physiology Hit paper breakdown → | 2015 | 587 |
| 2 | 2011 | 344 | |
| 3 | 2020 | 152 | |
| 4 | 2013 | 149 | |
| 5 | 2020 | 95 | |
| 6 | 2022 | 93 | |
| 7 | 2021 | 90 | |
| 8 | 2013 | 88 | |
| 9 | 2018 | 87 | |
| 10 | 2014 | 86 | |
| 11 | 2008 | 81 | |
| 12 | 2014 | 79 | |
| 13 | 2012 | 77 | |
| 14 | 2020 | 74 | |
| 15 | 2018 | 71 | |
| 16 | 2020 | 65 | |
| 17 | 2018 | 56 | |
| 18 | 2021 | 53 | |
| 19 | 2013 | 45 | |
| 20 | 2020 | 42 |
About Gemma C. Atkinson
Gemma C. Atkinson is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Infectious Diseases, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (46 papers), RNA modifications and cancer (21 papers), Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (17 papers), Genomics and Phylogenetic Studies (11 papers), Antibiotic Resistance in Bacteria (8 papers), RNA Research and Splicing (5 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Molecular Medicine (490 citations), Endocrinology (269 citations), Genetics (1.0k citations), Molecular Biology (2.3k citations) and Ecology (631 citations). Gemma C. Atkinson has collaborated with scholars based in Sweden, Estonia and Germany. Frequent co-authors include Vasili Hauryliuk, Tanel Tenson, Kenn Gerdes, Katsuhiko Murakami, Daniel N. Wilson, Victoriia Murina, Chayan Kumar Saha, Sandra L. Baldauf, Alex J. O’Neill and Hiraku Takada. Their work appears in journals such as Nucleic Acids Research, Nature Chemical Biology, Proceedings of the National Academy of Sciences, Molecular Cell and Scientific Reports.
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.