Matthew Baxter

20 papers receiving 974 citations

Matthew Baxter's Hit Papers

Inductively Coupled Plasma Mass Spectrometry: Introduction to Analytical Aspects 2019 · 452 citations
4520+2+4Years since publication100200300400

Peers

Matthew Baxter
Comparison fields: 5 of 145
  • Sensory Systems 148
  • Endocrine and Autonomic Systems 164
  • Biological Psychiatry 23
  • Analytical Chemistry 96
  • Health, Toxicology and Mutagenesis 116
Replace Xingjuan Chen with:
Xingjuan Chen China
Yanshu Zhang China
Dong‐Zong Hung Taiwan
Silvia Ghimenti Italy
Masahiko Ikeda Japan
Anna Poma Italy
Huifeng Pi China
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Matthew Baxter relative to Xingjuan Chen China Xingjuan Chen's profile →
Citations per field
00.5×4.8×
Xingjuan Chen · 1×
Citations per year

Countries citing papers authored by Matthew Baxter

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inductively Coupled Plasma Mass Spectrometry: Introduction to Analytical Aspects
Hit paper breakdown →
2019452
2 2013144
3 2020104
4 201474
5 201964
6 201551
7 202220
8 201417
9 202514
10 20209
11 20238
12 20237
13 20204
14 20194
15 20194
16 20223
17 20223
18 20233
19 20122
20 20211

About Matthew Baxter

Matthew Baxter is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Sensory Systems and Pollution, having authored 21 papers that have together received 988 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), Ion Channels and Receptors (3 papers), Dietary Effects on Health (2 papers), RNA Research and Splicing (2 papers), Sleep and Work-Related Fatigue (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Genomics and Diagnostics (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Sensory Systems (148 citations), Endocrine and Autonomic Systems (164 citations), Biological Psychiatry (23 citations), Analytical Chemistry (96 citations) and Health, Toxicology and Mutagenesis (116 citations). Matthew Baxter has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David Ray, Mark A. Birrell, Maria G. Belvisi, Eric Dubuis, Megan S. Grace, Toryn Poolman, Laura Matthews, Sarah A. Maher, Giorgio Caratti and Suffwan Eltom. Their work appears in journals such as Proceedings of the National Academy of Sciences, The FASEB Journal, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Thorax and Frontiers in Nutrition.

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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