Lee Murphy
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Aging top 5%
Papers in
-
- Epigenetics and DNA Methylation 12
- Genomics and Phylogenetic Studies 5
- Genetics 9
- Estrogen and related hormone effects 2
- Co-authors
- Michael A. Quail (6 shared papers)Julian Parkhill (5 shared papers)Riccardo E. Marioni (15 shared papers)Sarah E. Harris (9 shared papers)Stephen D. Bentley (3 shared papers)Bart Barrell (3 shared papers)Ian J. Deary (5 shared papers)John M. Starr (3 shared papers)
- Journals
- Scientific Reports (2 papers)Pediatric Critical Care Medicine (2 papers)Nature Communications (2 papers)Brain Communications (2 papers)Clinical Epigenetics (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Lee Murphy
42 papers receiving 2.6k citations
Lee Murphy's Hit Papers
Peers
Comparison fields: 5 of 119
- Microbiology 243
- Aging 58
- Molecular Biology 1.2k
- Epidemiology 543
- Endocrinology 85
Countries citing papers authored by Lee Murphy
This map shows the geographic impact of Lee Murphy'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 Lee Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Murphy more than expected).
Fields of papers citing papers by Lee Murphy
This network shows the impact of papers produced by Lee Murphy. 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 Lee Murphy. The network helps show where Lee Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Murphy, 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 | Genetic Analysis of the Capsular Biosynthetic Locus from All 90 Pneumococcal Serotypes Hit paper breakdown → | 2006 | 571 |
| 2 | 2015 | 402 | |
| 3 | 2002 | 249 | |
| 4 | 2018 | 197 | |
| 5 | 2003 | 162 | |
| 6 | 2000 | 112 | |
| 7 | 2014 | 101 | |
| 8 | 2004 | 89 | |
| 9 | 2023 | 71 | |
| 10 | 2022 | 63 | |
| 11 | 2019 | 60 | |
| 12 | 2006 | 56 | |
| 13 | 2015 | 56 | |
| 14 | 2005 | 53 | |
| 15 | 2020 | 40 | |
| 16 | 2023 | 39 | |
| 17 | 2005 | 38 | |
| 18 | 2021 | 33 | |
| 19 | 2013 | 32 | |
| 20 | 2017 | 29 |
About Lee Murphy
Lee Murphy is a scholar working on Molecular Biology, Genetics, Epidemiology, Pulmonary and Respiratory Medicine and Ecology, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Genomics and Phylogenetic Studies (5 papers), Insect and Pesticide Research (2 papers), Neonatal and fetal brain pathology (2 papers), Estrogen and related hormone effects (2 papers), Health, Environment, Cognitive Aging (2 papers), Parasite Biology and Host Interactions (2 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Microbiology (243 citations), Aging (58 citations), Molecular Biology (1.2k citations), Epidemiology (543 citations) and Endocrinology (85 citations). Lee Murphy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michael A. Quail, Julian Parkhill, Riccardo E. Marioni, Sarah E. Harris, Stephen D. Bentley, Bart Barrell, Ian J. Deary, John M. Starr, Sonia Shah and Allan F. McRae. Their work appears in journals such as Scientific Reports, Pediatric Critical Care Medicine, Nature Communications, Brain Communications and Clinical Epigenetics.
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.