Lee Murphy

41 papers receiving 2.5k citations

Hit Papers

Refining epigenetic prediction of chronological and biological age 2023 · 65 citations
652006202620122019100200300400500

Peers

Lee Murphy
Comparison fields: 5 of 122
  • Microbiology 279
  • Aging 63
  • Molecular Biology 1.3k
  • Endocrinology 90
  • Epidemiology 567
Replace Takashi Kaneko with:
Takashi Kaneko Japan
Shai Fuchs Canada
Thorsten Diemer Germany
Jason Lloyd‐Price United States
Mark R. Charbonneau United States
Karin de Punder Germany
Michael Kabesch Germany
José Ignacio Riezu‐Boj Spain
Bertrand Evrard France
Clelia Peano Italy
Lee Murphy relative to Takashi Kaneko Japan Takashi Kaneko's profile →
Citations per field
00.5×3.0×
Takashi Kaneko · 1×
Citations per year

Countries citing papers authored by Lee Murphy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lee Murphy Line = papers co-authored together Lee Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 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 →
2006567
2
The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936
Hit paper breakdown →
2015397
3 2002247
4 2018179
5 2003161
6 2000111
7 201499
8 200489
9
Refining epigenetic prediction of chronological and biological age
Hit paper breakdown →
202365
10 202259
11 201958
12 200656
13 201556
14 200553
15 200538
16 202036
17 202333
18 202131
19 201331
20 201729

About Lee Murphy

Lee Murphy is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Emergency Medicine, Molecular Biology and Epidemiology, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Genomics and Phylogenetic Studies (5 papers), Neonatal Respiratory Health Research (5 papers), Birth, Development, and Health (4 papers), Intergenerational Family Dynamics and Caregiving (4 papers), Neonatal and fetal brain pathology (3 papers), Genetic Syndromes and Imprinting (3 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Microbiology (279 citations), Aging (63 citations), Molecular Biology (1.3k citations), Endocrinology (90 citations) and Epidemiology (567 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, Bart Barrell, Stephen D. Bentley, Sarah E. Harris, Ian J. Deary, Simon R. Cox, David Harris and Jude Gibson. Their work appears in journals such as Brain Communications, Scientific Reports, Nature Communications, Pediatric Critical Care Medicine 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.

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