Andrew D. Catling

4.0k citations
41 papers · 3.4k indexed · h-index 29

Impact in

Papers in

Andrew D. Catling

41 papers receiving 3.3k citations

Peers

Andrew D. Catling
Comparison fields: 5 of 103
  • Immunology and Allergy 386
  • Cell Biology 843
  • Molecular Biology 2.4k
  • Cancer Research 452
  • Oncology 664
Replace Yasuhisa Fukui with:
Yasuhisa Fukui Japan
Patricia A. Solski United States
Deborah H. Anderson Canada
Anna T. Riegel United States
Alexandre Arcaro Switzerland
Judy Wynne United Kingdom
Julie L. Wilsbacher United States
Karen A. Cadwallader United Kingdom
Giusy Fiucci Israel
Maria Rozakis-Adcock Canada
Andrew D. Catling relative to Yasuhisa Fukui Japan Yasuhisa Fukui's profile →
Citations per field
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Yasuhisa Fukui · 1×
Citations per year

Countries citing papers authored by Andrew D. Catling

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Catling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Catling. 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 Andrew D. Catling. The network helps show where Andrew D. Catling may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201410
2 201382
3 201219
4 201266
5 201034
6 200773
7 2007128
8 200557
9 200428
10 2004114
11 2003222
12 2002191
13 2002276
14 2000127
15 199928
16 1998196
17 199639
18 1995174
19 199423
20
Transcriptional activation by the v-Jun oncoprotein is independent of positive regulatory phosphorylation.
199415

About Andrew D. Catling

Andrew D. Catling is a scholar working on Cell Biology, Immunology and Allergy, Sensory Systems, Molecular Biology and Cancer Research, having authored 41 papers that have together received 3.4k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (18 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Cellular Mechanics and Interactions (12 papers), Cell Adhesion Molecules Research (6 papers), Microtubule and mitosis dynamics (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cytokine Signaling Pathways and Interactions (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology and Allergy (386 citations), Cell Biology (843 citations), Molecular Biology (2.4k citations), Cancer Research (452 citations) and Oncology (664 citations). Andrew D. Catling has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael J. Weber, Scott T. Eblen, H. J. Schaeffer, Christoph Reuter, Ashok Pullikuth, Lara S. Collier, Jill K. Slack, Steven L. Gonias, Donna J. Webb and Tomáš Jelı́nek. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, The Journal of Cell Biology, Cellular Signalling and Methods in enzymology on CD-ROM/Methods in enzymology.

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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