Matthew G. Davey

3.2k total citations
150 papers, 2.0k citations indexed

About

Matthew G. Davey is a scholar working on Surgery, Oncology and Cancer Research. According to data from OpenAlex, Matthew G. Davey has authored 150 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Surgery, 43 papers in Oncology and 41 papers in Cancer Research. Recurrent topics in Matthew G. Davey's work include Breast Cancer Treatment Studies (27 papers), Breast Lesions and Carcinomas (14 papers) and HER2/EGFR in Cancer Research (13 papers). Matthew G. Davey is often cited by papers focused on Breast Cancer Treatment Studies (27 papers), Breast Lesions and Carcinomas (14 papers) and HER2/EGFR in Cancer Research (13 papers). Matthew G. Davey collaborates with scholars based in Ireland, Australia and Switzerland. Matthew G. Davey's co-authors include E. F. Lüscher, Michael J. Kerin, Aoïfe Lowery, Nicola Miller, Harry Lander, Éanna J. Ryan, Seán O. Hynes, Alvin Zipursky, Martin S. Davey and Niall McInerney and has published in prestigious journals such as Nature, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Matthew G. Davey

131 papers receiving 1.8k citations

Peers

Matthew G. Davey
Comparison fields: 5 of 120
  • Cancer Research 597
  • Oncology 434
  • Hematology 428
  • Molecular Biology 418
  • Surgery 378
Replace Michael Sheaff with:
Michael Sheaff United Kingdom
Till Braunschweig Germany
Ye Guo China
Jonathan S. Coblyn United States
Rüdiger P. Laubender Germany
Peter C. Harpel United States
H. Samonigg Austria
Peter Krippl Austria
Dusan Kotasek Australia
Rui‐Xue Leng China
Michael Sheaff United Kingdom View profile →
Citations per field, relative to Matthew G. Davey
Matthew G. Davey · 1×
Citations per year, relative to Matthew G. Davey
Matthew G. Davey · 1×

Countries citing papers authored by Matthew G. Davey

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Davey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew G. Davey. 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 Matthew G. Davey. The network helps show where Matthew G. Davey may publish in the future.

Co-authorship network of co-authors of Matthew G. Davey

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 1
5 9
6 1
7 1
8 1
9 1
10 5
11 12
12 3
13 0
14 16
15 7
16 0
17 8
18 3
19 3
20 31

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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