Robert J.A. Bell
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
-
- Telomeres, Telomerase, and Senescence 4
- Co-authors
- J Costello (9 shared papers)Jun S. Song (8 shared papers)Andrew Mancini (5 shared papers)H. Tomas Rube (3 shared papers)Ana Xavier‐Magalhães (2 shared papers)Bruno M. Costa (2 shared papers)Kyle M. Walsh (4 shared papers)Shaun D. Fouse (3 shared papers)
- Journals
- Cancer Research (2 papers)PLoS Genetics (2 papers)PLoS ONE (2 papers)Emerging infectious diseases (2 papers)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesAustraliaNorway
In The Last Decade
Robert J.A. Bell
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Genetics 160
- Cancer Research 189
- Physiology 329
- Biotechnology 99
- Molecular Biology 685
Countries citing papers authored by Robert J.A. Bell
This map shows the geographic impact of Robert J.A. Bell'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 Robert J.A. Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J.A. Bell more than expected).
Fields of papers citing papers by Robert J.A. Bell
This network shows the impact of papers produced by Robert J.A. Bell. 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 Robert J.A. Bell. The network helps show where Robert J.A. Bell may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J.A. Bell, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 416 | |
| 2 | 2016 | 217 | |
| 3 | 2019 | 135 | |
| 4 | 2018 | 97 | |
| 5 | 2012 | 69 | |
| 6 | 2016 | 52 | |
| 7 | 2014 | 37 | |
| 8 | 2017 | 37 | |
| 9 | 2013 | 36 | |
| 10 | 2014 | 32 | |
| 11 | 2009 | 21 | |
| 12 | 2012 | 17 | |
| 13 | 2015 | 13 | |
| 14 | 2011 | 13 | |
| 15 | 2005 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2003 | 9 | |
| 18 | 2003 | 5 | |
| 19 | 2009 | 3 | |
| 20 | 2015 | 2 |
About Robert J.A. Bell
Robert J.A. Bell is a scholar working on Molecular Biology, Physiology, Biotechnology, Infectious Diseases and Food Science, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Research and Treatments (5 papers), Salmonella and Campylobacter epidemiology (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), Bacteriophages and microbial interactions (3 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Genetics (160 citations), Cancer Research (189 citations), Physiology (329 citations), Biotechnology (99 citations) and Molecular Biology (685 citations). Robert J.A. Bell has collaborated with scholars based in United States, Australia and Norway. Frequent co-authors include J Costello, Jun S. Song, Andrew Mancini, H. Tomas Rube, Ana Xavier‐Magalhães, Bruno M. Costa, Kyle M. Walsh, Shaun D. Fouse, Raman P. Nagarajan and Chibo Hong. Their work appears in journals such as Cancer Research, PLoS Genetics, PLoS ONE, Emerging infectious diseases and Advances in experimental medicine and 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.