Edward R. B. Moore
- Molecular Biology top 1%
- Ecology top 0.2%
- Plant Science top 0.5%
- Pollution top 0.2%
- Biomedical Engineering top 5%
- Co-authors
- Kenneth N. TimmisA. Mark OsbornWolf‐Rainer AbrahamJean SwingsL. VauterinLysiane HaubenK. N. TimmisRamon Rosselló‐Móra
- Topics
- Genomics and Phylogenetic Studies (120 papers)Microbial Community Ecology and Physiology (71 papers)Bacterial Identification and Susceptibility Testing (30 papers)
- Cited by
- PollutionEndocrinologyEcology
In The Last Decade
Edward R. B. Moore
222 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 5.2k
- Ecology 3.7k
- Plant Science 2.7k
- Pollution 2.4k
- Biomedical Engineering 951
Countries citing papers authored by Edward R. B. Moore
This map shows the geographic impact of Edward R. B. 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 Edward R. B. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward R. B. Moore more than expected).
Fields of papers citing papers by Edward R. B. Moore
This network shows the impact of papers produced by Edward R. B. 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 Edward R. B. Moore. The network helps show where Edward R. B. Moore may publish in the future.
Co-authorship network of co-authors of Edward R. B. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Edward R. B. Moore. A scholar is included among the top collaborators of Edward R. B. Moore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward R. B. Moore. Edward R. B. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | Optical mapping of single DNA molecules in nanochannels: A novel method for identification and characterization of antibiotic resistance | 1 |
| 18 | 133 | |
| 19 | 21 | |
| 20 | 12 |
About Edward R. B. Moore
Edward R. B. Moore is a scholar working on Endocrinology, Molecular Medicine and Clinical Biochemistry, having authored 226 papers that have together received 11.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (120 papers), Microbial Community Ecology and Physiology (71 papers) and Bacterial Identification and Susceptibility Testing (30 papers). The work is most often cited by research in Pollution (2.4k citations), Endocrinology (872 citations) and Ecology (3.7k citations). Edward R. B. Moore has collaborated with scholars based in Sweden, Spain and Germany. Frequent co-authors include Kenneth N. Timmis, A. Mark Osborn, Wolf‐Rainer Abraham, Jean Swings, L. Vauterin, Lysiane Hauben, K. N. Timmis, Ramon Rosselló‐Móra, Martin Welker and Heinrich Lünsdorf. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.
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.