Stephen Kerridge

1.8k citations
38 papers · 1.5k indexed · h-index 24

Impact in

  • Aging top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions

Papers in

Stephen Kerridge

38 papers receiving 1.5k citations

Peers

Stephen Kerridge
Comparison fields: 5 of 76
  • Aging 38
  • Cell Biology 320
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 332
  • Genetics 397
Replace Gerard Campbell with:
Gerard Campbell United States
J. Robert S. Whittle United Kingdom
Tetsuya Kojima Japan
Urs Kloter Switzerland
Maya Burri Switzerland
Amanda Simcox United States
José Casal United Kingdom
Siu-Kwong Chan United States
Erich Frei Switzerland
Francesca Pignoni United States
Stephen Kerridge relative to Gerard Campbell United States Gerard Campbell's profile →
Citations per field
00.5×1.5×2.1×
Gerard Campbell · 1×
Citations per year

Countries citing papers authored by Stephen Kerridge

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Kerridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 202133
3 201696
4 200914
5 200864
6 200725
7 200719
8 200538
9 20014
10 200116
11 200038
12 200047
13 199939
14 199870
15 199711
16 199645
17 199466
18
The role of the teashirt gene in trunk segmental identity in Drosophila
19923
19 1991181
20 198821

About Stephen Kerridge

Stephen Kerridge is a scholar working on Genetics, Cellular and Molecular Neuroscience, Cell Biology, Developmental Biology and Molecular Biology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (29 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Neurobiology and Insect Physiology Research (9 papers), Animal Genetics and Reproduction (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Genomics and Chromatin Dynamics (5 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Aging (38 citations), Cell Biology (320 citations), Molecular Biology (1.3k citations), Cellular and Molecular Neuroscience (332 citations) and Genetics (397 citations). Stephen Kerridge has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Laurent Fasano, Ginés Morata, Christine Vola, Nathalie Coré, Bernard Jacq, Armel Gallet, Matthew P. Scott, Laurence Röder, Alfrun Erkner and Bernard Charroux. Their work appears in journals such as Development, Mechanisms of Development, Developmental Biology, Nature and Trends in Genetics.

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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