Kylie P. Matchett

3.0k total citations · 1 hit paper
9 papers, 432 citations indexed

About

Kylie P. Matchett is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Kylie P. Matchett has authored 9 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Kylie P. Matchett's work include Liver physiology and pathology (4 papers), Single-cell and spatial transcriptomics (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Kylie P. Matchett is often cited by papers focused on Liver physiology and pathology (4 papers), Single-cell and spatial transcriptomics (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Kylie P. Matchett collaborates with scholars based in United Kingdom, United States and Germany. Kylie P. Matchett's co-authors include Neil C. Henderson, Ross Dobie, Prakash Ramachandran, John R. Wilson‐Kanamori, Sarah A. Teichmann, J Paris, Ruslan Medzhitov, Miri Adler, Uri S. Alon and Maria Isabel Fiel and has published in prestigious journals such as Nature Communications, Hepatology and American Journal Of Pathology.

In The Last Decade

Kylie P. Matchett

9 papers receiving 430 citations

Hit Papers

An autocrine signaling circuit in hepatic stellate cells ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kylie P. Matchett United Kingdom 8 177 162 155 100 68 9 432
Ingrid Lua United States 11 118 0.7× 114 0.7× 166 1.1× 40 0.4× 76 1.1× 16 415
Eiko Saijou Japan 7 172 1.0× 83 0.5× 80 0.5× 85 0.8× 41 0.6× 10 376
Marie Anson France 7 154 0.9× 121 0.7× 121 0.8× 202 2.0× 147 2.2× 8 503
Barbara Mosterman United States 4 133 0.8× 128 0.8× 169 1.1× 35 0.3× 65 1.0× 5 400
Danko Batusic Germany 12 106 0.6× 108 0.7× 178 1.1× 89 0.9× 51 0.8× 17 436
Bin-yong Liang China 15 253 1.4× 178 1.1× 291 1.9× 44 0.4× 154 2.3× 32 656
Devorah Olam Israel 11 214 1.2× 84 0.5× 88 0.6× 105 1.1× 133 2.0× 15 453
Beicheng Sun China 11 217 1.2× 112 0.7× 89 0.6× 85 0.8× 105 1.5× 21 415
Xiaoyin Tang China 13 114 0.6× 60 0.4× 107 0.7× 38 0.4× 46 0.7× 25 430
An Zou United States 10 211 1.2× 168 1.0× 80 0.5× 157 1.6× 272 4.0× 11 566

Countries citing papers authored by Kylie P. Matchett

Since Specialization
Citations

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

Fields of papers citing papers by Kylie P. Matchett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kylie P. Matchett. 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 Kylie P. Matchett. The network helps show where Kylie P. Matchett may publish in the future.

Co-authorship network of co-authors of Kylie P. Matchett

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

All Works

9 of 9 papers shown
1.
Matchett, Kylie P., J Paris, Sarah A. Teichmann, & Neil C. Henderson. (2024). Spatial genomics: mapping human steatotic liver disease. Nature Reviews Gastroenterology & Hepatology. 21(9). 646–660. 25 indexed citations
2.
Niemietz, Patricia M., Moritz Peiseler, Marlene Kohlhepp, et al.. (2024). C-C chemokine receptor type 7 (CCR7) regulates hepatic CD8+ T cell homeostasis and response to acute liver injury. Hepatology. 80(5). 1104–1119. 5 indexed citations
3.
Wang, Shuang, Ross Dobie, Kylie P. Matchett, et al.. (2023). An autocrine signaling circuit in hepatic stellate cells underlies advanced fibrosis in nonalcoholic steatohepatitis. Science Translational Medicine. 15(677). eadd3949–eadd3949. 92 indexed citations breakdown →
4.
Yin, Kelvin, Anna Danese, Paul Coupland, et al.. (2021). Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy. Nature Communications. 12(1). 4264–4264. 47 indexed citations
5.
Lechertier, Tanguy, Louise E. Reynolds, Hyojin Kim, et al.. (2020). Pericyte FAK negatively regulates Gas6/Axl signalling to suppress tumour angiogenesis and tumour growth. Nature Communications. 11(1). 2810–2810. 47 indexed citations
6.
Morrison, Emma, Philip Starkey Lewis, Iqbal Toor, et al.. (2020). Transfer of hepatocellular microRNA regulates cytochrome P450 2E1 in renal tubular cells. EBioMedicine. 62. 103092–103092. 14 indexed citations
7.
Ramachandran, Prakash, Kylie P. Matchett, Ross Dobie, John R. Wilson‐Kanamori, & Neil C. Henderson. (2020). Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis. Nature Reviews Gastroenterology & Hepatology. 17(8). 457–472. 178 indexed citations
8.
Salter, Donald M., Morwenna Muir, Jayne Culley, et al.. (2019). Development of mouse models of angiosarcoma driven by p53. Disease Models & Mechanisms. 12(7). 15 indexed citations
9.
Greenhalgh, Stephen N., Kylie P. Matchett, Richard S. Taylor, et al.. (2018). Loss of Integrin αvβ8 in Murine Hepatocytes Accelerates Liver Regeneration. American Journal Of Pathology. 189(2). 258–271. 9 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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