Matthew Hawryluk

2.1k total citations
16 papers, 926 citations indexed

About

Matthew Hawryluk is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Matthew Hawryluk has authored 16 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Cancer Research and 6 papers in Molecular Biology. Recurrent topics in Matthew Hawryluk's work include Cellular transport and secretion (4 papers), Cancer Genomics and Diagnostics (4 papers) and PARP inhibition in cancer therapy (4 papers). Matthew Hawryluk is often cited by papers focused on Cellular transport and secretion (4 papers), Cancer Genomics and Diagnostics (4 papers) and PARP inhibition in cancer therapy (4 papers). Matthew Hawryluk collaborates with scholars based in United States, United Kingdom and Australia. Matthew Hawryluk's co-authors include Linton M. Traub, Sanjay Mishra, Peter A. Keyel, Roman Yelensky, Vincent A. Miller, Jeffrey S. Ross, Doron Lipson, Kai Wang, Philip J. Stephens and Geoff Otto and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Matthew Hawryluk

16 papers receiving 916 citations

Peers

Matthew Hawryluk
Comparison fields: 5 of 61
  • Molecular Biology 458
  • Surgery 389
  • Oncology 371
  • Cancer Research 204
  • Cell Biology 200
Replace Takumi Yamabuki with:
Takumi Yamabuki Japan
Ulrike Reich Germany
Hiroki Mizukami Japan
Linda Shyue Huey Chuang Singapore
P P Bringuier Netherlands
Joshua D. Cohen United States
Asta Varis Finland
Ademi Santiago-Walker United States
Rie Yasuoka Japan
Heidi Bissig Switzerland
Takumi Yamabuki Japan View profile →
Citations per field, relative to Matthew Hawryluk
Matthew Hawryluk · 1×
Citations per year, relative to Matthew Hawryluk
Matthew Hawryluk · 1×

Countries citing papers authored by Matthew Hawryluk

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Hawryluk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Hawryluk

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 64
2 28
3 3
4 2
5 1
6 1
7 341
8 2
9 3
10 119
11 98
12 1
13 146
14 6
15 65
16 46

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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