Matthew McFarlane

904 citations
16 papers · 500 · h-index 9

Impact in

Papers in

Matthew McFarlane

15 papers receiving 494 citations

Peers

Matthew McFarlane
Comparison fields: 5 of 66
  • Endocrine and Autonomic Systems 110
  • Nutrition and Dietetics 86
  • Oncology 98
  • Cancer Research 52
  • Developmental Neuroscience 14
Replace David C. Bedford with:
David C. Bedford United States
Claus W. Hann von Weyhern Germany
Mellanie White Italy
Christina Norrbom Denmark
Keren I. Hilgendorf United States
Tibor Gyuris United States
Alexander Jaschke Germany
Ana Quaglino Argentina
Petra Faulhammer Germany
Emily Chang United States
Matthew McFarlane relative to David C. Bedford United States David C. Bedford's profile →
Citations per field
00.5×1.5×1.8×
David C. Bedford · 1×
Citations per year

Countries citing papers authored by Matthew McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Matthew McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew McFarlane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew McFarlane Line = papers co-authored together Matthew McFarlane links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2012129
2 2014117
3 202165
4 201247
5 201333
6 201632
7 202127
8 201526
9 202110
10 20217
11 20213
12 20151
13 20181
14 20231
15 20201
16 20210

About Matthew McFarlane

Matthew McFarlane is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 16 papers that have together received 500 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Effects of Radiation Exposure (3 papers), Prostate Cancer Treatment and Research (3 papers), Cholesterol and Lipid Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Head and Neck Cancer Studies (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (110 citations), Nutrition and Dietetics (86 citations), Oncology (98 citations), Cancer Research (52 citations) and Developmental Neuroscience (14 citations). Matthew McFarlane has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Michael S. Brown, Tong‐Jin Zhao, Joseph L. Goldstein, Luke J. Engelking, Guosheng Liang, Andrew P. McMahon, Yuichi Nishi, Kevin A. Peterson, Xiaoxiao Zhang and Martha L. Bulyk. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Lipid Research, Advances in Radiation Oncology, Cell Metabolism and Journal of Clinical Oncology.

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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