Clare Underwood

22 total papers · 746 total citations
16 papers, 578 citations indexed

About

Clare Underwood is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Agronomy and Crop Science. According to data from OpenAlex, Clare Underwood has authored 16 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Agronomy and Crop Science. Recurrent topics in Clare Underwood's work include Nerve injury and regeneration (6 papers), Reproductive tract infections research (4 papers) and Reproductive Physiology in Livestock (4 papers). Clare Underwood is often cited by papers focused on Nerve injury and regeneration (6 papers), Reproductive tract infections research (4 papers) and Reproductive Physiology in Livestock (4 papers). Clare Underwood collaborates with scholars based in Australia, United Kingdom and Argentina. Clare Underwood's co-authors include Elizabeth J. Coulson, Areechun Sotthibundhu, Alex M. Sykes, Wipawan Thangnipon, Kate Reid, Perry F. Bartlett, T. J. Butler, G. J. Foran, Trevor W. Hambley and Matthew D. Hall and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Journal of Cell Science.

In The Last Decade

Clare Underwood

14 papers receiving 572 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Clare Underwood 291 226 165 81 54 16 578
Tania Scartabelli 197 0.7× 226 1.0× 151 0.9× 52 0.6× 93 1.7× 18 524
C.E.E.M. van der Zee 242 0.8× 236 1.0× 194 1.2× 65 0.8× 76 1.4× 17 608
Francesca Malerba 307 1.1× 224 1.0× 169 1.0× 86 1.1× 85 1.6× 31 595
Patrick Mouchet 352 1.2× 194 0.9× 208 1.3× 42 0.5× 26 0.5× 33 677
Reinhold Mueller 222 0.8× 252 1.1× 199 1.2× 101 1.2× 112 2.1× 11 616
Nicole Zsürger 364 1.3× 398 1.8× 111 0.7× 36 0.4× 48 0.9× 17 686
Andrew Shum 234 0.8× 242 1.1× 99 0.6× 57 0.7× 49 0.9× 10 517
Hailong Hou 249 0.9× 241 1.1× 189 1.1× 71 0.9× 67 1.2× 22 646
Diogo Trigo 222 0.8× 338 1.5× 138 0.8× 60 0.7× 110 2.0× 18 636
Yanina Ivashko‐Pachima 167 0.6× 250 1.1× 109 0.7× 39 0.5× 45 0.8× 20 510

Countries citing papers authored by Clare Underwood

Since Specialization
Citations

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

Fields of papers citing papers by Clare Underwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clare Underwood

This figure shows the co-authorship network connecting the top 25 collaborators of Clare Underwood. A scholar is included among the top collaborators of Clare Underwood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clare Underwood. Clare Underwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026