Gordon J. Dear

2.6k citations
55 papers · 2.0k indexed · 1 hit paper · h-index 25
Topics
Analytical Chemistry and Chromatography (35 papers)Metabolomics and Mass Spectrometry Studies (18 papers)Mass Spectrometry Techniques and Applications (17 papers)

In The Last Decade

Gordon J. Dear

55 papers receiving 1.9k citations

Hit Papers

The evolving role of investigative toxicology in the phar...202320262024202520234080120

Peers

Gordon J. Dear
Comparison fields: 5 of 123
  • Spectroscopy 1.1k
  • Molecular Biology 842
  • Biomedical Engineering 313
  • Pharmacology 258
  • Analytical Chemistry 239
Replace Kevin P. Bateman with:
Kevin P. Bateman United States
Lekha Sleno Canada
Markus Godejohann Germany
Hubertus Irth Netherlands
Giuseppe Paglia Italy
Stephen Pleasance Canada
C. J. W. Brooks United Kingdom
Rudolph C. Johnson United States
Claire Elfakir France
Anneli Kruve Estonia
Gordon J. Dear relative to Kevin P. Bateman United States Kevin P. Bateman's profile →
Citations per field
00.5×1.5×
Kevin P. Bateman · 1×
Citations per year

Countries citing papers authored by Gordon J. Dear

Since Specialization
Citations

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

Fields of papers citing papers by Gordon J. Dear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon J. Dear

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon J. Dear. A scholar is included among the top collaborators of Gordon J. Dear 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 Gordon J. Dear. Gordon J. Dear 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 1
3 12
4 8
5 31
6 10
7 39
8 29
9 18
10 23
11 5
12 21
13 40
14
極性代謝産物を同定するための戦略としての直接結合イオン交換液体クロマトグラフィー‐質量分析及び液体クロマトグラフィー‐核磁気共鳴分光法の利用
7
15 22
16 34
17 12
18 19
19 33
20 85

About Gordon J. Dear

Gordon J. Dear is a scholar working on Spectroscopy, Pharmacology and Analytical Chemistry, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (35 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Mass Spectrometry Techniques and Applications (17 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Pharmacology (258 citations) and Analytical Chemistry (239 citations). Gordon J. Dear has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Robert S. Plumb, John Ayrton, David N. Mallett, William J. Leavens, John N. Haselden, Chris L. Stumpf, José Castro‐Perez, Brian C. Sweatman, Stephen Pleasance and Claire Beaumont. Their work appears in journals such as Analytical Chemistry, Nature Reviews Drug Discovery and Analytical Biochemistry.

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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