Kylie P. Matchett

3.0k citations
9 papers · 432 indexed · 1 hit paper · h-index 8
Topics
Liver physiology and pathology (4 papers)Single-cell and spatial transcriptomics (3 papers)Liver Disease Diagnosis and Treatment (3 papers)

In The Last Decade

Kylie P. Matchett

9 papers receiving 430 citations

Hit Papers

An autocrine signaling circuit in hepatic stellate cells ...20232026202420252023255075

Peers

Kylie P. Matchett
Comparison fields: 5 of 59
  • Molecular Biology 177
  • Epidemiology 162
  • Hepatology 155
  • Immunology 100
  • Oncology 68
Replace Barbara Mosterman with:
Barbara Mosterman United States
Devorah Olam Israel
Ingrid Lua United States
Eiko Saijou Japan
Marie Anson France
Danko Batusic Germany
Bin-yong Liang China
Qianfei Zhang United States
Carola Maria Morell United States
Judit López‐Luque Spain
Kylie P. Matchett relative to Barbara Mosterman United States Barbara Mosterman's profile →
Citations per field
00.5×10.4×
Barbara Mosterman · 1×
Citations per year

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
#WorkIndexed citations
1 25
2 5
3
An autocrine signaling circuit in hepatic stellate cells underlies advanced fibrosis in nonalcoholic steatohepatitisbreakdown →
92
4 47
5 47
6 14
7 178
8 15
9 9

About Kylie P. Matchett

Kylie P. Matchett is a scholar working on Hepatology, Immunology and Immunology and Allergy, having authored 9 papers that have together received 432 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Single-cell and spatial transcriptomics (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (155 citations), Immunology (100 citations) and Epidemiology (162 citations). Kylie P. Matchett has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Neil C. Henderson, Ross Dobie, Prakash Ramachandran, John R. Wilson‐Kanamori, J Paris, Sarah A. Teichmann, Xiao Liu, Maria Isabel Fiel, Scott L. Friedman and Tatiana Kisseleva. Their work appears in journals such as Nature Communications, Hepatology and American Journal Of Pathology.

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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