Edward Tunnacliffe

11 total papers · 607 total citations
6 papers, 340 citations indexed

About

Edward Tunnacliffe is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Edward Tunnacliffe has authored 6 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cell Biology. Recurrent topics in Edward Tunnacliffe's work include Gene Regulatory Network Analysis (4 papers), Single-cell and spatial transcriptomics (3 papers) and Evolution and Genetic Dynamics (2 papers). Edward Tunnacliffe is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Single-cell and spatial transcriptomics (3 papers) and Evolution and Genetic Dynamics (2 papers). Edward Tunnacliffe collaborates with scholars based in United Kingdom, China and Spain. Edward Tunnacliffe's co-authors include Jonathan R. Chubb, Adam Corrigan, Danielle Cannon, Sandra Codlin, Víctor A. Tallada, Charalampos Rallis, Suam Gonzalez, Maria Rodríguez‐López, Jürg Bähler and Marisa Segal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Edward Tunnacliffe

6 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Edward Tunnacliffe 309 51 39 38 20 6 340
Oded Sandler 295 1.0× 27 0.5× 88 2.3× 26 0.7× 38 1.9× 6 349
Amanda Haupt 281 0.9× 55 1.1× 27 0.7× 43 1.1× 18 0.9× 6 330
Gavin Schlissel 283 0.9× 41 0.8× 18 0.5× 27 0.7× 25 1.3× 5 296
Iryna Charapitsa 255 0.8× 37 0.7× 12 0.3× 18 0.5× 32 1.6× 6 293
Alex Khodaverdian 298 1.0× 41 0.8× 18 0.5× 42 1.1× 10 0.5× 6 335
Micayla A. Bowman 334 1.1× 46 0.9× 35 0.9× 17 0.4× 12 0.6× 5 371
Martin Hopfensitz 329 1.1× 18 0.4× 14 0.4× 24 0.6× 12 0.6× 5 369
Gurpreet Kaur 272 0.9× 37 0.7× 44 1.1× 52 1.4× 12 0.6× 7 314
G. A. Ermakova 260 0.8× 55 1.1× 43 1.1× 133 3.5× 12 0.6× 13 364
Kip Nalley 342 1.1× 52 1.0× 38 1.0× 28 0.7× 39 1.9× 9 380

Countries citing papers authored by Edward Tunnacliffe

Since Specialization
Citations

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

Fields of papers citing papers by Edward Tunnacliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Tunnacliffe

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Tunnacliffe. A scholar is included among the top collaborators of Edward Tunnacliffe 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 Edward Tunnacliffe. Edward Tunnacliffe 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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