Benjamin L. Moore
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in
-
- Genomics and Phylogenetic Studies 2
- Plant Gene Expression Analysis 1
- Pluripotent Stem Cells Research 1
- Protein Structure and Dynamics 1
-
- Trypanosoma species research and implications 1
- Co-authors
- Diana L. Kolbe (1 shared paper)Jennifer Daub (1 shared paper)Sean R. Eddy (1 shared paper)ROBERT FINN (1 shared paper)Alex Bateman (1 shared paper)Paul P. Gardner (1 shared paper)Sam Griffiths‐Jones (1 shared paper)John Tate (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Infection and Immunity (1 paper)Journal of Computational Chemistry (1 paper)Cellular Reprogramming (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Benjamin L. Moore
12 papers receiving 970 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 142
- Genetics 262
- Molecular Biology 626
- Plant Science 119
- Developmental and Educational Psychology 31
Countries citing papers authored by Benjamin L. Moore
This map shows the geographic impact of Benjamin L. Moore'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 Benjamin L. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin L. Moore more than expected).
Fields of papers citing papers by Benjamin L. Moore
This network shows the impact of papers produced by Benjamin L. Moore. 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 Benjamin L. Moore. The network helps show where Benjamin L. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin L. Moore, 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 | 2010 | 307 | |
| 2 | 2016 | 221 | |
| 3 | 2019 | 189 | |
| 4 | 2016 | 60 | |
| 5 | 2007 | 59 | |
| 6 | 2013 | 44 | |
| 7 | 1973 | 34 | |
| 8 | 2015 | 29 | |
| 9 | 2016 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2010 | 8 |
About Benjamin L. Moore
Benjamin L. Moore is a scholar working on Molecular Biology, Epidemiology, Genetics, Biomedical Engineering and Surgery, having authored 12 papers that have together received 987 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Associations and Epidemiology (2 papers), Trypanosoma species research and implications (1 paper), Plant Gene Expression Analysis (1 paper), Pluripotent Stem Cells Research (1 paper), Brucella: diagnosis, epidemiology, treatment (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Cancer Research (142 citations), Genetics (262 citations), Molecular Biology (626 citations), Plant Science (119 citations) and Developmental and Educational Psychology (31 citations). Benjamin L. Moore has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Diana L. Kolbe, Jennifer Daub, Sean R. Eddy, ROBERT FINN, Alex Bateman, Paul P. Gardner, Sam Griffiths‐Jones, John Tate, Eric P. Nawrocki and Michael A. Eberle. Their work appears in journals such as Nucleic Acids Research, Infection and Immunity, Journal of Computational Chemistry, Cellular Reprogramming and PLoS Computational 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.