Peter Lunt

5.0k citations
106 papers · 3.3k · h-index 28

Impact in

  • Geology top 1%
    • Geological and Geophysical Studies
  • Genetics top 2%
    • Neurogenetic and Muscular Disorders Research

Papers in

Peter Lunt

103 papers receiving 3.2k citations

Peers

Peter Lunt
Comparison fields: 5 of 137
  • Geology 343
  • Genetics 493
  • Paleontology 198
  • Cellular and Molecular Neuroscience 452
  • Molecular Biology 1.6k
Replace Emmanuelle Arnaud with:
Emmanuelle Arnaud France
Graham R. Taylor United Kingdom
Gary D. Johnson United States
Tohru Ohta Japan
John De Vos France
Mariano Hernández Spain
John B. Richardson United Kingdom
Thomas Maurin France
Carlo Baroni Italy
John A. Long Australia
Peter Lunt relative to Emmanuelle Arnaud France Emmanuelle Arnaud's profile →
Citations per field
00.5×9.2×
Emmanuelle Arnaud · 1×
Citations per year

Countries citing papers authored by Peter Lunt

Since Specialization
Citations

This map shows the geographic impact of Peter Lunt'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 Peter Lunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Lunt more than expected).

Fields of papers citing papers by Peter Lunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Lunt. 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 Peter Lunt. The network helps show where Peter Lunt may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Lunt, 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 Peter Lunt Line = papers co-authored together Peter Lunt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008432
2 2011374
3 1991178
4 1995161
5 1999112
6 1991110
7
Regional mapping of facioscapulohumeral muscular dystrophy gene on 4q35: combined analysis of an international consortium.
1992106
8 1999103
9 198973
10 199971
11 201564
12 199359
13 201658
14 199156
15 199755
16 199549
17 201146
18 200342
19 201740
20 199738

About Peter Lunt

Peter Lunt is a scholar working on Molecular Biology, Geology, Genetics, Genetics and Cardiology and Cardiovascular Medicine, having authored 106 papers that have together received 3.3k indexed citations. Recurring topics across this work include Geological and Geophysical Studies (30 papers), Muscle Physiology and Disorders (25 papers), Neurogenetic and Muscular Disorders Research (22 papers), Cardiomyopathy and Myosin Studies (14 papers), earthquake and tectonic studies (10 papers), Geological formations and processes (9 papers), Hydrocarbon exploration and reservoir analysis (9 papers) and Paleontology and Stratigraphy of Fossils (8 papers). The work is most often cited by research in Geology (343 citations), Genetics (493 citations), Paleontology (198 citations), Cellular and Molecular Neuroscience (452 citations) and Molecular Biology (1.6k citations). Peter Lunt has collaborated with scholars based in United Kingdom, Malaysia and Netherlands. Frequent co-authors include Peter S. Harper, Meena Upadhyaya, Manuela C. Koch, G.W. Padberg, J. Maynard, Michel Fardeau, Philip Jardine, Moyra E.J. Wilson, Willem Renema and P.S. Harper. Their work appears in journals such as Journal of Medical Genetics, Journal of Asian Earth Sciences, Neuromuscular Disorders, Marine and Petroleum Geology and Human Mutation.

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.

Explore authors with similar magnitude of impact