Gavin D. Richardson

100 total papers · 3.5k total citations
47 papers, 1.9k citations indexed

About

Gavin D. Richardson is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Gavin D. Richardson has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Physiology and 13 papers in Immunology. Recurrent topics in Gavin D. Richardson's work include Telomeres, Telomerase, and Senescence (16 papers), Congenital heart defects research (8 papers) and Hair Growth and Disorders (7 papers). Gavin D. Richardson is often cited by papers focused on Telomeres, Telomerase, and Senescence (16 papers), Congenital heart defects research (8 papers) and Hair Growth and Disorders (7 papers). Gavin D. Richardson collaborates with scholars based in United Kingdom, United States and Germany. Gavin D. Richardson's co-authors include Norman J. Maitland, David E. Neal, Craig Robson, Anne T. Collins, Shona Lang, Ioakim Spyridopoulos, Colin A.B. Jahoda, W. Andrew Owens, João F. Passos and Emily Dookun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Development and The FASEB Journal.

In The Last Decade

Gavin D. Richardson

44 papers receiving 1.9k citations

Hit Papers

CD133, a novel marker for... 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Gavin D. Richardson 843 526 494 309 248 47 1.9k
Manuela Ferreira 893 1.1× 486 0.9× 269 0.5× 424 1.4× 149 0.6× 40 2.2k
Jason D. Doles 1.5k 1.8× 449 0.9× 372 0.8× 132 0.4× 96 0.4× 44 2.1k
Nadine Martin 1.1k 1.3× 366 0.7× 595 1.2× 442 1.4× 101 0.4× 63 2.4k
Martin Barron 1.7k 2.0× 220 0.4× 228 0.5× 182 0.6× 105 0.4× 34 2.5k
Ying Cao 1.2k 1.4× 793 1.5× 290 0.6× 124 0.4× 152 0.6× 43 2.4k
Gerold Untergasser 1.1k 1.3× 125 0.2× 526 1.1× 279 0.9× 410 1.7× 84 2.4k
B. Caramés 1.4k 1.6× 321 0.6× 230 0.5× 270 0.9× 51 0.2× 47 3.1k
Matthew R. Warr 1.6k 1.9× 221 0.4× 379 0.8× 476 1.5× 282 1.1× 29 2.9k
Rui Yue 984 1.2× 285 0.5× 452 0.9× 420 1.4× 166 0.7× 42 2.5k
Yuh-Lih Chang 1.4k 1.7× 355 0.7× 566 1.1× 169 0.5× 168 0.7× 56 2.5k

Countries citing papers authored by Gavin D. Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Gavin D. Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gavin D. Richardson

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin D. Richardson. A scholar is included among the top collaborators of Gavin D. Richardson 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 Gavin D. Richardson. Gavin D. Richardson 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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