Anna Thornburn

779 total citations · 1 hit paper
8 papers, 600 citations indexed

About

Anna Thornburn is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anna Thornburn has authored 8 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anna Thornburn's work include Renal and related cancers (5 papers), Renal cell carcinoma treatment (2 papers) and Epigenetics and DNA Methylation (2 papers). Anna Thornburn is often cited by papers focused on Renal and related cancers (5 papers), Renal cell carcinoma treatment (2 papers) and Epigenetics and DNA Methylation (2 papers). Anna Thornburn collaborates with scholars based in United Kingdom, United States and Finland. Anna Thornburn's co-authors include Rachel L. Berry, You-Ying Chau, Joan Slight, Ofelia M. Martínez-Estrada, Ramón Muñoz‐Chápuli, Roland H. Stimson, Roberto Bandiera, Brian R. Walker, Andreas Schedl and Alan Serrels and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Development.

In The Last Decade

Anna Thornburn

8 papers receiving 596 citations

Hit Papers

Visceral and subcutaneous fat have different origins and ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Thornburn United Kingdom 6 271 259 197 140 97 8 600
Yoshinari Obata Japan 12 237 0.9× 183 0.7× 298 1.5× 178 1.3× 78 0.8× 34 645
A Díez-Caballero Spain 10 153 0.6× 329 1.3× 223 1.1× 92 0.7× 308 3.2× 23 735
Katherine Stephenson United States 9 108 0.4× 197 0.8× 97 0.5× 98 0.7× 168 1.7× 12 539
John Grünberg Sweden 7 218 0.8× 151 0.6× 112 0.6× 58 0.4× 38 0.4× 10 387
Anna Maria Lombardi Italy 15 150 0.6× 112 0.4× 57 0.3× 54 0.4× 64 0.7× 61 760
Hyun-Chae Lee South Korea 8 102 0.4× 126 0.5× 204 1.0× 77 0.6× 77 0.8× 12 440
Mark Piegore United States 5 125 0.5× 110 0.4× 57 0.3× 103 0.7× 75 0.8× 7 389
Umberto De Fanis Italy 12 112 0.4× 149 0.6× 64 0.3× 127 0.9× 53 0.5× 18 644
Michael Hannemann United Kingdom 10 181 0.7× 104 0.4× 54 0.3× 76 0.5× 217 2.2× 13 589
Yong Hoon Kim South Korea 9 88 0.3× 189 0.7× 227 1.2× 54 0.4× 79 0.8× 20 473

Countries citing papers authored by Anna Thornburn

Since Specialization
Citations

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

Fields of papers citing papers by Anna Thornburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Thornburn

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Thornburn. A scholar is included among the top collaborators of Anna Thornburn 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 Anna Thornburn. Anna Thornburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Mellis, David, Katherine Staines, Silvia Peluso, et al.. (2021). Ubiquitin-protein ligase Ubr5 cooperates with hedgehog signalling to promote skeletal tissue homeostasis. PLoS Genetics. 17(4). e1009275–e1009275. 3 indexed citations
2.
Artibani, Mara, Andrew H. Sims, Joan Slight, et al.. (2017). WT1 expression in breast cancer disrupts the epithelial/mesenchymal balance of tumour cells and correlates with the metabolic response to docetaxel. Scientific Reports. 7(1). 45255–45255. 36 indexed citations
3.
Berry, Rachel L., Derya D. Ozdemir, Bruce J. Aronow, et al.. (2015). Deducing the stage of origin of Wilms' tumours from a developmental series of Wt1-mutant mice. Development. 142(16). e1.2–e1.2. 12 indexed citations
4.
Berry, Rachel L., Derya D. Ozdemir, Bruce J. Aronow, et al.. (2015). Deducing the stage of origin of Wilms' tumours from a developmental series of Wt1 mutants. Disease Models & Mechanisms. 8(8). 903–17. 21 indexed citations
5.
Chau, You-Ying, Roberto Bandiera, Alan Serrels, et al.. (2014). Visceral and subcutaneous fat have different origins and evidence supports a mesothelial source. Nature Cell Biology. 16(4). 367–375. 401 indexed citations breakdown →
6.
Velecela, Víctor, Laura A. Lettice, You-Ying Chau, et al.. (2013). WT1 regulates the expression of inhibitory chemokines during heart development. Human Molecular Genetics. 22(25). 5083–5095. 21 indexed citations
7.
Dolt, Karamjit Singh, Eve Miller‐Hodges, Joan Slight, et al.. (2013). A Universal Vector for High-Efficiency Multi-Fragment Recombineering of BACs and Knock-In Constructs. PLoS ONE. 8(4). e62054–e62054. 4 indexed citations
8.
Chau, You-Ying, David G. Brownstein, Heidi K. Mjoseng, et al.. (2011). Acute Multiple Organ Failure in Adult Mice Deleted for the Developmental Regulator Wt1. PLoS Genetics. 7(12). e1002404–e1002404. 102 indexed citations

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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