Matthew McFarlane

904 total citations
16 papers, 500 citations indexed

About

Matthew McFarlane is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew McFarlane has authored 16 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew McFarlane's work include Lung Cancer Diagnosis and Treatment (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cholesterol and Lipid Metabolism (3 papers). Matthew McFarlane is often cited by papers focused on Lung Cancer Diagnosis and Treatment (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cholesterol and Lipid Metabolism (3 papers). Matthew McFarlane collaborates with scholars based in United States, Netherlands and Australia. Matthew McFarlane's co-authors include Tong‐Jin Zhao, Michael S. Brown, Joseph L. Goldstein, Guosheng Liang, Luke J. Engelking, Andrew P. McMahon, Yuichi Nishi, Kevin A. Peterson, Wenxiu Ma and Jan Philipp Junker and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Matthew McFarlane

15 papers receiving 494 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew McFarlane United States 9 210 110 98 96 87 16 500
David C. Bedford United States 10 464 2.2× 125 1.1× 124 1.3× 142 1.5× 107 1.2× 12 774
Claus W. Hann von Weyhern Germany 7 156 0.7× 90 0.8× 87 0.9× 91 0.9× 137 1.6× 7 552
Christina Norrbom Denmark 9 212 1.0× 111 1.0× 48 0.5× 265 2.8× 75 0.9× 11 610
Mellanie White Italy 11 113 0.5× 71 0.6× 124 1.3× 258 2.7× 38 0.4× 15 535
Weiping Qiu United States 10 226 1.1× 36 0.3× 68 0.7× 37 0.4× 82 0.9× 16 442
Alexander Jaschke Germany 10 131 0.6× 48 0.4× 78 0.8× 66 0.7× 72 0.8× 12 377
Sophie Roy Canada 5 235 1.1× 44 0.4× 47 0.5× 29 0.3× 50 0.6× 7 383
Nathalie Courtois‐Coutry France 10 499 2.4× 25 0.2× 35 0.4× 110 1.1× 61 0.7× 17 698
Devi Prasadh Ramakrishnan United States 6 225 1.1× 125 1.1× 34 0.3× 43 0.4× 104 1.2× 10 457
Ningxin Zeng United States 12 264 1.3× 40 0.4× 50 0.5× 236 2.5× 33 0.4× 19 548

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-authorship network of co-authors of Matthew McFarlane

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew McFarlane. A scholar is included among the top collaborators of Matthew McFarlane 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 McFarlane. Matthew McFarlane 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
1.
Rebernick, Ryan J., Matthew McFarlane, Yi‐Mi Wu, et al.. (2023). Clinical impact of mutations in driver oncogenes and TP53/RB1 in advanced prostate cancer.. Journal of Clinical Oncology. 41(6_suppl). 263–263. 1 indexed citations
2.
Weiner, Adam B., Yang Liu, Matthew McFarlane, et al.. (2021). A transcriptomic model for homologous recombination deficiency in prostate cancer. Prostate Cancer and Prostatic Diseases. 25(4). 659–665. 10 indexed citations
3.
Weiner, Adam B., Thiago Vidotto, Yang Liu, et al.. (2021). Plasma cells are enriched in localized prostate cancer in Black men and are associated with improved outcomes. Nature Communications. 12(1). 935–935. 65 indexed citations
4.
Beckta, Jason M., Jacob S. Witt, Matthew McFarlane, et al.. (2021). Unsealed Source: Scope of Practice for Radiopharmaceuticals Among United States Radiation Oncologists. Advances in Radiation Oncology. 7(5). 100827–100827. 3 indexed citations
5.
Sun, Yilun, Philip S. Boonstra, Matthew McFarlane, et al.. (2021). Investigating the SPECT Dose-Function Metrics Associated With Radiation-Induced Lung Toxicity Risk in Patients With Non-small Cell Lung Cancer Undergoing Radiation Therapy. Advances in Radiation Oncology. 6(3). 100666–100666. 7 indexed citations
6.
McFarlane, Matthew, Anna M. Brown, Yilun Sun, et al.. (2021). Predictors of Pneumonitis After Conventionally Fractionated Radiotherapy for Locally Advanced Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 111(5). 1176–1185. 27 indexed citations
7.
Cousins, Matthew M., Charles S. Mayo, Lara N. Coughlin, et al.. (2021). Cannabis Use in Patients Seen in an Academic Radiation Oncology Department. International Journal of Radiation Oncology*Biology*Physics. 111(3). e493–e494.
8.
Owen, Dawn, Yuyu Sun, Matthew McFarlane, et al.. (2020). Investigating the Perfusion SPECT Dose-Function Metrics Associated With RILT Risk in NSCLC Patients Undergoing RT. International Journal of Radiation Oncology*Biology*Physics. 108(3). e278–e278. 1 indexed citations
9.
Brown, Anna M., Yilun Sun, Matthew J. Schipper, et al.. (2018). Active Smoking Is Not Associated with Increased Radiation-Induced Toxicity in Locally Advanced Lung Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 102(3). S231–S231. 1 indexed citations
10.
Lorberbaum, David S., Kevin A. Peterson, D. S. Parker, et al.. (2016). An ancient yet flexible cis-regulatory architecture allows localized Hedgehog tuning by patched/Ptch1. eLife. 5. 32 indexed citations
11.
McFarlane, Matthew, et al.. (2015). Scap is required for sterol synthesis and crypt growth in intestinal mucosa. Journal of Lipid Research. 56(8). 1560–1571. 26 indexed citations
12.
Mohamad, Osama, Matthew McFarlane, & Asal Rahimi. (2015). Absence of physiologic breast response to pregnancy and lactation after radiation therapy. Practical Radiation Oncology. 6(2). e25–e26. 1 indexed citations
13.
McFarlane, Matthew, Michael S. Brown, Joseph L. Goldstein, & Tong‐Jin Zhao. (2014). Induced Ablation of Ghrelin Cells in Adult Mice Does Not Decrease Food Intake, Body Weight, or Response to High-Fat Diet. Cell Metabolism. 20(1). 54–60. 117 indexed citations
14.
McFarlane, Matthew, Guosheng Liang, & Luke J. Engelking. (2013). Insig Proteins Mediate Feedback Inhibition of Cholesterol Synthesis in the Intestine. Journal of Biological Chemistry. 289(4). 2148–2156. 33 indexed citations
15.
Engelking, Luke J., et al.. (2012). Blockade of cholesterol absorption by ezetimibe reveals a complex homeostatic network in enterocytes. Journal of Lipid Research. 53(7). 1359–1368. 47 indexed citations
16.
Peterson, Kevin A., Yuichi Nishi, Wenxiu Ma, et al.. (2012). Neural-specific Sox2 input and differential Gli-binding affinity provide context and positional information in Shh-directed neural patterning. Genes & Development. 26(24). 2802–2816. 129 indexed citations

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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