Nigel J. Savery
- Genetics top 2%
- Bacterial Genetics and Biotechnology 34
- Molecular Biology top 5%
- DNA Repair Mechanisms 19
- RNA and protein synthesis mechanisms 19
- DNA and Nucleic Acid Chemistry 14
- Gene Regulatory Network Analysis 13
- Advanced biosensing and bioanalysis techniques 5
- RNA modifications and cancer 5
- CRISPR and Genetic Engineering 5
- Molecular Medicine top 5%
- Endocrinology top 5%
- Biophysics top 5%
- Co-authors
- Abigail J. SmithMario di BernardoClaire GriersonMark S. DillinghamOliver PurcellPeter McGlynnStephen BusbySeth A. Darst
- Journals
- ACS Synthetic Biology (10 papers)Nucleic Acids Research (9 papers)Biochemical Journal (4 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Nigel J. Savery
58 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Genetics 1.0k
- Molecular Biology 1.7k
- Molecular Medicine 74
- Endocrinology 71
- Biophysics 63
Countries citing papers authored by Nigel J. Savery
This map shows the geographic impact of Nigel J. Savery'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 Nigel J. Savery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel J. Savery more than expected).
Fields of papers citing papers by Nigel J. Savery
This network shows the impact of papers produced by Nigel J. Savery. 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 Nigel J. Savery. The network helps show where Nigel J. Savery may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nigel J. Savery, 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 | 2023 | 2 | |
| 2 | 2022 | 15 | |
| 3 | 2022 | 24 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 27 | |
| 8 | 2019 | 31 | |
| 9 | 2016 | 24 | |
| 10 | 2016 | 9 | |
| 11 | 2014 | 37 | |
| 12 | 2013 | 38 | |
| 13 | 2012 | 78 | |
| 14 | 2011 | 8 | |
| 15 | 2009 | 24 | |
| 16 | 2007 | 28 | |
| 17 | 2006 | 162 | |
| 18 | 2003 | 3 | |
| 19 | 1996 | 27 | |
| 20 | 1994 | 60 |
About Nigel J. Savery
Nigel J. Savery is a scholar working on Genetics, Molecular Biology and Biophysics, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (34 papers), DNA Repair Mechanisms (19 papers), RNA and protein synthesis mechanisms (19 papers), DNA and Nucleic Acid Chemistry (14 papers), Gene Regulatory Network Analysis (13 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA modifications and cancer (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (1.7k citations) and Molecular Medicine (74 citations). Nigel J. Savery has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Abigail J. Smith, Mario di Bernardo, Claire Grierson, Mark S. Dillingham, Oliver Purcell, Peter McGlynn, Stephen Busby, Seth A. Darst, Alexandra M. Deaconescu and Terence R. Strick. Their work appears in journals such as ACS Synthetic Biology, Nucleic Acids Research, Biochemical Journal, PLoS ONE and DNA repair.
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.