Steve Arkinstall

5.0k citations
36 papers · 4.4k · h-index 26

Impact in

    • Protein Tyrosine Phosphatases
    • Melanoma and MAPK Pathways
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Cell death mechanisms and regulation
    • Ubiquitin and proteasome pathways
  • Toxicology top 1%

Papers in

    • Protein Tyrosine Phosphatases 16
    • Protein Kinase Regulation and GTPase Signaling 14
    • Melanoma and MAPK Pathways 13
    • Receptor Mechanisms and Signaling 6
    • Ubiquitin and proteasome pathways 4
    • Glycosylation and Glycoproteins Research 2
    • Neuropeptides and Animal Physiology 4

Steve Arkinstall

35 papers receiving 4.3k citations

Peers

Steve Arkinstall
Comparison fields: 5 of 103
  • Molecular Biology 3.5k
  • Toxicology 157
  • Aging 68
  • Cell Biology 576
  • Cellular and Molecular Neuroscience 508
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Citations per field
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Citations per year

Countries citing papers authored by Steve Arkinstall

Since Specialization
Citations

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

Fields of papers citing papers by Steve Arkinstall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000717
2 1998448
3 1997360
4 1996349
5 1996320
6
The G-Protein Linked Receptor Facts Book
1994267
7 2001239
8 2012235
9 2000149
10 1998138
11 1997135
12 1999132
13 2001120
14 2005115
15 201487
16 200085
17 199863
18 200459
19 199157
20 199438

About Steve Arkinstall

Steve Arkinstall is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Reproductive Medicine, Endocrine and Autonomic Systems and Organic Chemistry, having authored 36 papers that have together received 4.4k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (16 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Melanoma and MAPK Pathways (13 papers), Receptor Mechanisms and Signaling (6 papers), Synthesis and biological activity (4 papers), Ubiquitin and proteasome pathways (4 papers), Neuropeptides and Animal Physiology (4 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Toxicology (157 citations), Aging (68 citations), Cell Biology (576 citations) and Cellular and Molecular Neuroscience (508 citations). Steve Arkinstall has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Montserrat Camps, Marco Muda, Ursula Boschert, Corine Gilliéron, Christian Chabert, Steve P. Watson, Bruno E. Antonsson, Alan Ashworth, Anthony Charles Nichols and Aspasia Theodosiou. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Neuroreport, Journal of Medicinal Chemistry and Cancer Research.

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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