Stone Elworthy

2.9k citations
24 papers · 2.2k indexed · 1 hit paper · h-index 16

Stone Elworthy

24 papers receiving 2.2k citations

Hit Papers

A transgenic zebrafish model of neutrophilic inflammation7782006202620122019250500750

Peers

Stone Elworthy
Comparison fields: 5 of 111
  • Cell Biology 923
  • Immunology 593
  • Developmental Neuroscience 100
  • Molecular Biology 1.3k
  • Cancer Research 247
Replace Sarah J. Heasman with:
Sarah J. Heasman United Kingdom
Sang‐Yeob Yeo South Korea
Craig J. Ceol United States
Lisa B. Haney United States
Katja Brückner United States
Scott T. Dougan United States
Vasso Episkopou United Kingdom
Nancy A. Dower Canada
Paris Ataliotis United Kingdom
Gary P. Swain United States
Stone Elworthy relative to Sarah J. Heasman United Kingdom Sarah J. Heasman's profile →
Citations per field
00.5×1.5×1.9×
Sarah J. Heasman · 1×
Citations per year

Countries citing papers authored by Stone Elworthy

Since Specialization
Citations

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

Fields of papers citing papers by Stone Elworthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20216
3 20188
4 20172
5 201534
6 201536
7 201341
8 201262
9 201153
10 201183
11 2008110
12 2008120
13 200748
14 200731
15
A transgenic zebrafish model of neutrophilic inflammation. Commentary
20061
16
A transgenic zebrafish model of neutrophilic inflammationbreakdown →
2006778
17 2005106
18 2003134
19 200214
20 2001428

About Stone Elworthy

Stone Elworthy is a scholar working on Cell Biology, Genetics and Developmental Neuroscience, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Congenital heart defects research (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Developmental Biology and Gene Regulation (4 papers), Epigenetics and DNA Methylation (3 papers), Congenital gastrointestinal and neural anomalies (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Cell Biology (923 citations), Immunology (593 citations) and Developmental Neuroscience (100 citations). Stone Elworthy has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Philip W. Ingham, Stephen A. Renshaw, Catherine A. Loynes, Moira K. B. Whyte, Robert N. Kelsh, Thomas J. Carney, Susana S. Lopes, Kirsten Dutton, Pascal Haffter and Angela Pauliny. Their work appears in journals such as Blood, PLoS ONE and Journal of Molecular Biology.

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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