Matthew Holderfield

3.7k citations
25 papers · 2.2k indexed · 1 hit paper · h-index 17
Topics
Melanoma and MAPK Pathways (9 papers)Protein Kinase Regulation and GTPase Signaling (8 papers)Angiogenesis and VEGF in Cancer (5 papers)

In The Last Decade

Matthew Holderfield

25 papers receiving 2.2k citations

Hit Papers

Targeting RAF kinases for cancer therapy: BRAF-mutated me...20142026201820222014200400600

Peers

Matthew Holderfield
Comparison fields: 5 of 107
  • Molecular Biology 1.7k
  • Oncology 564
  • Cell Biology 281
  • Cancer Research 266
  • Immunology 219
Replace Lawrence N. Kwong with:
Lawrence N. Kwong United States
Natalia Jura United States
David R. Croucher Australia
Mitchell Cheung United States
Bruno Alicke United States
Phil F. Cheng Switzerland
Antonella Bacchiocchi United States
Juha Klefström Finland
Michael P. Sanderson Germany
Elisabetta Rovida Italy
Matthew Holderfield relative to Lawrence N. Kwong United States Lawrence N. Kwong's profile →
Citations per field
00.5×1.6×
Lawrence N. Kwong · 1×
Citations per year

Countries citing papers authored by Matthew Holderfield

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Holderfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Holderfield

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Holderfield. A scholar is included among the top collaborators of Matthew Holderfield 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 Holderfield. Matthew Holderfield 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
#WorkIndexed citations
1 1
2 1
3 37
4 1
5 94
6 2
7 11
8 32
9 76
10 56
11 155
12 20
13 145
14 90
15
Targeting RAF kinases for cancer therapy: BRAF-mutated melanoma and beyondbreakdown →
618
16 30
17 96
18 274
19 33
20 191

About Matthew Holderfield

Matthew Holderfield is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Angiogenesis and VEGF in Cancer (5 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Oncology (564 citations) and Cancer Research (266 citations). Matthew Holderfield has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include Frank McCormick, Christopher C.W. Hughes, Martin McMahon, Marian M. Deuker, Erin M. Conn, Martin N. Nakatsu, Richard C.A. Sainson, Darrin D. Stuart, Tobi Nagel and Douglas A. Johnston. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature reviews. Cancer.

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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