David G. McLaren

3.8k citations
71 papers · 1.8k indexed · h-index 22
Topics
Metabolomics and Mass Spectrometry Studies (18 papers)Mass Spectrometry Techniques and Applications (14 papers)Peroxisome Proliferator-Activated Receptors (10 papers)

In The Last Decade

David G. McLaren

68 papers receiving 1.7k citations

Peers

David G. McLaren
Comparison fields: 5 of 110
  • Molecular Biology 1.2k
  • Genetics 587
  • Spectroscopy 363
  • Surgery 204
  • Endocrinology, Diabetes and Metabolism 142
Replace Theodore Fotsis with:
Theodore Fotsis Greece
Jeong Soo Yang South Korea
Jason D. Russell United States
Ilene M. Reardon United States
Michael Mülleder United Kingdom
Arthur Moseley United States
Andris Jankevics United Kingdom
Arno Friedlein Switzerland
Robert Tonge United Kingdom
Dylan J. Sorensen United States
David G. McLaren relative to Theodore Fotsis Greece Theodore Fotsis's profile →
Citations per field
00.5×10×13.1×
Theodore Fotsis · 1×
Citations per year

Countries citing papers authored by David G. McLaren

Since Specialization
Citations

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

Fields of papers citing papers by David G. McLaren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. McLaren. 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 David G. McLaren. The network helps show where David G. McLaren may publish in the future.

Co-authorship network of co-authors of David G. McLaren

This figure shows the co-authorship network connecting the top 25 collaborators of David G. McLaren. A scholar is included among the top collaborators of David G. McLaren 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 David G. McLaren. David G. McLaren 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 3
2 8
3 6
4 2
5 17
6 4
7 30
8 21
9 9
10 5
11 2
12 9
13 84
14 12
15 15
16 11
17 41
18 12
19 55
20 2

About David G. McLaren

David G. McLaren is a scholar working on Biochemistry, Spectroscopy and Clinical Biochemistry, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (18 papers), Mass Spectrometry Techniques and Applications (14 papers) and Peroxisome Proliferator-Activated Receptors (10 papers). The work is most often cited by research in Spectroscopy (363 citations), Genetics (587 citations) and Molecular Biology (1.2k citations). David G. McLaren has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Alan J. Mileham, José Castro‐Perez, Thomas P. Roddy, Vinit Shah, Stephen F. Previs, Bruce Whitelaw, Chris Proudfoot, Simon Lillico, Douglas G. Johns and Tim King. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

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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