Anne‐Maree Pearse

1.4k total citations
11 papers, 704 citations indexed

About

Anne‐Maree Pearse is a scholar working on Pulmonary and Respiratory Medicine, Microbiology and Pathology and Forensic Medicine. According to data from OpenAlex, Anne‐Maree Pearse has authored 11 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Microbiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Anne‐Maree Pearse's work include Veterinary Oncology Research (7 papers), Microbial infections and disease research (6 papers) and Tumors and Oncological Cases (3 papers). Anne‐Maree Pearse is often cited by papers focused on Veterinary Oncology Research (7 papers), Microbial infections and disease research (6 papers) and Tumors and Oncological Cases (3 papers). Anne‐Maree Pearse collaborates with scholars based in Australia, United Kingdom and Denmark. Anne‐Maree Pearse's co-authors include Kate Swift, Katherine Belov, Menna E. Jones, Rodrigo Hamede, GM Woods, Alexandre Kreiss, Yuanyuan Cheng, Jim Kaufman, Hannah V. Siddle and Karsten Skjødt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Anne‐Maree Pearse

11 papers receiving 696 citations

Peers

Anne‐Maree Pearse

PRM

MICRO

GENET

MB

IMMUN

Kate Swift Australia

Alexandre Kreiss Australia

Dane Hayes Australia

Ruth J. Pye Australia

Hannah V. Siddle Australia

Billie Lazenby Australia

James T. Raymond United States

Greg Hocking Australia

Sabine E. Hammer Austria

Jason M. Wiersma Australia

Kate Swift Australia

Anne‐Maree Pearse

468 ×1.3

PRM

428 ×1.3

MICRO

237 ×1.1

GENET

141 ×1.2

MB

141 ×1.3

IMMUN

Citations per year, relative to Anne‐Maree Pearse Anne‐Maree Pearse (= 1×) peers Kate Swift

Countries citing papers authored by Anne‐Maree Pearse

Since Specialization

Citations

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

Fields of papers citing papers by Anne‐Maree Pearse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Maree Pearse. 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 Anne‐Maree Pearse. The network helps show where Anne‐Maree Pearse may publish in the future.

Co-authorship network of co-authors of Anne‐Maree Pearse

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

All Works

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11 of 11 papers shown

1.

Hamede, Rodrigo, Anne‐Maree Pearse, Kate Swift, et al.. (2015). Transmissible cancer in Tasmanian devils: localized lineage replacement and host population response. Proceedings of the Royal Society B Biological Sciences. 282(1814). 20151468–20151468. 39 indexed citations

2.

Újvári, Beáta, Anne‐Maree Pearse, Robyn Taylor, et al.. (2014). Devil Facial Tumor Disease, A Potential Model of the Cancer Stem-Cell Process?. 1(1). 1 indexed citations

3.

Újvári, Beáta, Anne‐Maree Pearse, Kate Swift, et al.. (2013). Anthropogenic selection enhances cancer evolution in Tasmanian devil tumours. Evolutionary Applications. 7(2). 260–265. 22 indexed citations

4.

Újvári, Beáta, Katherine Belov, Anne‐Maree Pearse, et al.. (2013). Devil Facial Tumor Disease, a potential model of the Cancer Stem-Cell Process?. 1 indexed citations

5.

Siddle, Hannah V., Alexandre Kreiss, Cesar Tovar, et al.. (2013). Reversible epigenetic down-regulation of MHC molecules by devil facial tumour disease illustrates immune escape by a contagious cancer. Proceedings of the National Academy of Sciences. 110(13). 5103–5108. 162 indexed citations

6.

Deakin, Janine E., Hannah Bender, Anne‐Maree Pearse, et al.. (2012). Genomic Restructuring in the Tasmanian Devil Facial Tumour: Chromosome Painting and Gene Mapping Provide Clues to Evolution of a Transmissible Tumour. PLoS Genetics. 8(2). e1002483–e1002483. 71 indexed citations

7.

Újvári, Beáta, Anne‐Maree Pearse, Robyn Taylor, et al.. (2012). Telomere Dynamics and Homeostasis in a Transmissible Cancer. PLoS ONE. 7(8). e44085–e44085. 26 indexed citations

8.

Siddle, Hannah V., Alexandre Kreiss, Yuanyuan Cheng, et al.. (2012). Immune escape strategies of a contagious cancer, devil facial tumour disease. Molecular Immunology. 51(1). 30–30. 2 indexed citations

9.

Újvári, Beáta, Anne‐Maree Pearse, Sarah Peck, et al.. (2012). Evolution of a contagious cancer: epigenetic variation in Devil Facial Tumour Disease. Proceedings of the Royal Society B Biological Sciences. 280(1750). 20121720–20121720. 17 indexed citations

10.

Hamede, Rodrigo, Shelly Lachish, Katherine Belov, et al.. (2011). Reduced Effect of Tasmanian Devil Facial Tumor Disease at the Disease Front. Conservation Biology. 26(1). 124–134. 61 indexed citations

11.

Pearse, Anne‐Maree & Kate Swift. (2006). Transmission of devil facial-tumour disease. Nature. 439(7076). 549–549. 302 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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