Lauren J. Beesley

1.1k citations
41 papers · 644 indexed · h-index 16
Topics
Statistical Methods and Inference (8 papers)Solar and Space Plasma Dynamics (7 papers)Genetic Associations and Epidemiology (6 papers)
Partner nations
United StatesIndiaPoland

In The Last Decade

Lauren J. Beesley

36 papers receiving 622 citations

Peers

Lauren J. Beesley
Comparison fields: 5 of 116
  • Oncology 120
  • Genetics 120
  • Pulmonary and Respiratory Medicine 88
  • Molecular Biology 85
  • Otorhinolaryngology 83
Replace Paul Silcocks with:
Paul Silcocks United Kingdom
Sipeng Shen China
Jammbe Musoro Belgium
Kentaro Matsuura Japan
Tadeusz Dyba Finland
Gert Mayer Austria
Riha Vaidya United States
Maxwell Salvatore United States
Raphael Sonabend United Kingdom
Gillis Carrigan United States
Lauren J. Beesley relative to Paul Silcocks United Kingdom Paul Silcocks's profile →
Citations per field
00.5×4.0×
Paul Silcocks · 1×
Citations per year

Countries citing papers authored by Lauren J. Beesley

Since Specialization
Citations

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

Fields of papers citing papers by Lauren J. Beesley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren J. Beesley. 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 Lauren J. Beesley. The network helps show where Lauren J. Beesley may publish in the future.

Co-authorship network of co-authors of Lauren J. Beesley

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren J. Beesley. A scholar is included among the top collaborators of Lauren J. Beesley 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 Lauren J. Beesley. Lauren J. Beesley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 2
5 1
6 15
7 1
8 7
9 4
10 16
11 2
12 7
13 12
14 47
15 21
16 67
17 22
18 40
19 6
20 30

About Lauren J. Beesley

Lauren J. Beesley is a scholar working on Otorhinolaryngology, Modeling and Simulation and Statistics and Probability, having authored 41 papers that have together received 644 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Solar and Space Plasma Dynamics (7 papers) and Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Otorhinolaryngology (83 citations), Modeling and Simulation (45 citations) and Statistics and Probability (63 citations). Lauren J. Beesley has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Bhramar Mukherjee, Jeremy M. G. Taylor, Lars G. Fritsche, Emily L. Bellile, Maxwell Salvatore, Gregory T. Wolf, Anca M. Avram, Francis P. Worden, Matthew E. Spector and Chad M. Brummett. Their work appears in journals such as PLoS ONE, The Astrophysical Journal and Technometrics.

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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