Darren Nesbeth
Impact in
- Physiology top 10%
-
- Cellular transport and secretion
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 8
- Microbial Metabolic Engineering and Bioproduction 7
- CRISPR and Genetic Engineering 6
- Enzyme Catalysis and Immobilization 5
- Gene Regulatory Network Analysis 4
- Genetics 10
- Virus-based gene therapy research 6
- Co-authors
- Mark C. Field (2 shared papers)Arun Pal (1 shared paper)Belinda S. Hall (1 shared paper)Helen I. Field (1 shared paper)Eli Keshavarz‐Moore (9 shared papers)Farzin Farzaneh (3 shared papers)John M. Ward (6 shared papers)David Darling (2 shared papers)
- Journals
- Heliyon (4 papers)Biotechnology and Bioengineering (3 papers)Biotechnology Progress (3 papers)ACS Synthetic Biology (2 papers)Journal of Biotechnology (1 paper)
- Partner nations
- United KingdomRussiaJapan
In The Last Decade
Darren Nesbeth
42 papers receiving 493 citations
Peers
Comparison fields: 5 of 93
- Physiology 29
- Cell Biology 83
- Molecular Biology 267
- Genetics 95
- Rheumatology 47
Countries citing papers authored by Darren Nesbeth
This map shows the geographic impact of Darren Nesbeth'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 Darren Nesbeth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darren Nesbeth more than expected).
Fields of papers citing papers by Darren Nesbeth
This network shows the impact of papers produced by Darren Nesbeth. 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 Darren Nesbeth. The network helps show where Darren Nesbeth may publish in the future.
Co-authors
The 25 scholars most cited alongside Darren Nesbeth, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 78 | |
| 2 | 2005 | 43 | |
| 3 | 2018 | 39 | |
| 4 | 2005 | 35 | |
| 5 | 2014 | 33 | |
| 6 | 2009 | 30 | |
| 7 | 2016 | 28 | |
| 8 | 2008 | 24 | |
| 9 | 1998 | 18 | |
| 10 | 2005 | 17 | |
| 11 | 2011 | 16 | |
| 12 | 2015 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 2016 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2018 | 6 |
About Darren Nesbeth
Darren Nesbeth is a scholar working on Molecular Biology, Genetics, Cell Biology, Biomedical Engineering and Infectious Diseases, having authored 45 papers that have together received 500 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (6 papers), Enzyme Catalysis and Immobilization (5 papers), Gene Regulatory Network Analysis (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Physiology (29 citations), Cell Biology (83 citations), Molecular Biology (267 citations), Genetics (95 citations) and Rheumatology (47 citations). Darren Nesbeth has collaborated with scholars based in United Kingdom, Russia and Japan. Frequent co-authors include Mark C. Field, Arun Pal, Belinda S. Hall, Helen I. Field, Eli Keshavarz‐Moore, Farzin Farzaneh, John M. Ward, David Darling, Lucas Chan and Nigel K.H. Slater. Their work appears in journals such as Heliyon, Biotechnology and Bioengineering, Biotechnology Progress, ACS Synthetic Biology and Journal of Biotechnology.
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.