Stephen C. Artim

896 citations
16 papers · 674 · h-index 10

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ
    • 14-3-3 protein interactions
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • Gut microbiota and health 3
    • 14-3-3 protein interactions 2
    • Ubiquitin and proteasome pathways 2
    • Signaling Pathways in Disease 1
    • Helicobacter pylori-related gastroenterology studies 2

Stephen C. Artim

16 papers receiving 666 citations

Peers

Stephen C. Artim
Comparison fields: 5 of 78
  • Cell Biology 132
  • Molecular Biology 528
  • Immunology 94
  • Pharmacology 65
  • Oncology 94
Replace Sandra Cottet with:
Sandra Cottet Switzerland
Seung Jae Jeong South Korea
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Xiaoyun Shen China
Jianli Sang China
Colin Chih‐Chien Wu United States
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Stephen C. Artim relative to Sandra Cottet Switzerland Sandra Cottet's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Stephen C. Artim

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C. Artim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Artim. 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 Stephen C. Artim. The network helps show where Stephen C. Artim may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005203
2 2007176
3 201897
4 201265
5 200642
6 201815
7 201915
8 202212
9 200612
10 202211
11 20219
12 20185
13 20224
14 20203
15
Cutaneous Dermatophilosis in a Meadow Jumping Mouse (Zapus hudsonius).
20183
16 20182

About Stephen C. Artim

Stephen C. Artim is a scholar working on Molecular Biology, Surgery, Infectious Diseases, Cellular and Molecular Neuroscience and Epidemiology, having authored 16 papers that have together received 674 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), 14-3-3 protein interactions (2 papers), Ubiquitin and proteasome pathways (2 papers), Nail Diseases and Treatments (1 paper), Signaling Pathways in Disease (1 paper), Nerve injury and regeneration (1 paper) and Macrophage Migration Inhibitory Factor (1 paper). The work is most often cited by research in Cell Biology (132 citations), Molecular Biology (528 citations), Immunology (94 citations), Pharmacology (65 citations) and Oncology (94 citations). Stephen C. Artim has collaborated with scholars based in United States, Costa Rica and Canada. Frequent co-authors include Erik Wilker, Michael B. Yaffe, Robert A. Grant, Mark A. Lemmon, Jeannine M. Mendrola, Hans Christian Reinhardt, Marcel A.T.M. van Vugt, Phillip A. Sharp, Nahum Sonenberg and Forest M. White. Their work appears in journals such as Scientific Reports, Biochemical Journal, PLoS ONE, The Journal of Immunology and Journal of Biological Chemistry.

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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