W. Mark Brown

3.2k total citations
49 papers, 1.3k citations indexed

About

W. Mark Brown is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, W. Mark Brown has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Pulmonary and Respiratory Medicine and 9 papers in Molecular Biology. Recurrent topics in W. Mark Brown's work include Genetic Associations and Epidemiology (9 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Diabetes and associated disorders (4 papers). W. Mark Brown is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Diabetes and associated disorders (4 papers). W. Mark Brown collaborates with scholars based in United States, United Kingdom and Canada. W. Mark Brown's co-authors include Stephen S. Rich, Carl D. Langefeld, Donner F. Babcock, Gunther Wennemuth, G. Stanley McKnight, Kimberly A. Burton, Michael A. Nolan, Brett Kissela, Barry I. Freedman and James F. Meschia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

W. Mark Brown

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Mark Brown United States 21 347 345 210 191 188 49 1.3k
Jaeduk Yoshimura Noh Japan 30 350 1.0× 290 0.8× 163 0.8× 145 0.8× 243 1.3× 109 2.6k
Xiaoling Liu China 17 201 0.6× 845 2.4× 238 1.1× 58 0.3× 71 0.4× 57 2.0k
David Hoffman United States 23 285 0.8× 425 1.2× 120 0.6× 65 0.3× 62 0.3× 62 2.0k
Alfredo Leaños‐Miranda Mexico 23 113 0.3× 284 0.8× 88 0.4× 89 0.5× 95 0.5× 67 1.4k
V. Kerlan France 18 450 1.3× 277 0.8× 66 0.3× 204 1.1× 118 0.6× 90 1.6k
P P Yeo Singapore 19 321 0.9× 229 0.7× 102 0.5× 102 0.5× 228 1.2× 50 2.0k
Aimée Paulussen Netherlands 25 553 1.6× 809 2.3× 162 0.8× 212 1.1× 91 0.5× 65 1.9k
Gamini S. Soori United States 23 172 0.5× 428 1.2× 642 3.1× 91 0.5× 88 0.5× 70 2.6k
Koji Mukasa Japan 19 129 0.4× 144 0.4× 85 0.4× 70 0.4× 150 0.8× 31 1.2k
Pascale H. Lane United States 23 322 0.9× 364 1.1× 138 0.7× 68 0.4× 124 0.7× 53 1.8k

Countries citing papers authored by W. Mark Brown

Since Specialization
Citations

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

Fields of papers citing papers by W. Mark Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Mark Brown. 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 W. Mark Brown. The network helps show where W. Mark Brown may publish in the future.

Co-authorship network of co-authors of W. Mark Brown

This figure shows the co-authorship network connecting the top 25 collaborators of W. Mark Brown. A scholar is included among the top collaborators of W. Mark Brown 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 W. Mark Brown. W. Mark Brown 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
1.
Cohen, Lorenzo, Suzanne C. Danhauer, Emily V. Dressler, et al.. (2024). Acupuncture for Chronic Radiation-Induced Xerostomia in Head and Neck Cancer. JAMA Network Open. 7(5). e2410421–e2410421. 8 indexed citations
2.
Rapp, Stephen R., Emily V. Dressler, W. Mark Brown, et al.. (2024). Phase III Randomized, Placebo-Controlled Clinical Trial of Donepezil for Treatment of Cognitive Impairment in Breast Cancer Survivors After Adjuvant Chemotherapy (WF-97116). Journal of Clinical Oncology. 42(21). 2546–2557. 9 indexed citations
3.
Danhauer, Suzanne C., Emily V. Dressler, W. Mark Brown, et al.. (2023). Reducing Anxiety and Dyspnea via Device-Guided Breathing (RELAX): A Multi-Site Feasibility Study in Post-Treatment Lung Cancer Survivors at Community Cancer Clinics (WF-01213). Integrative Cancer Therapies. 22. 1563479542–1563479542.
4.
5.
Divers, Jasmin, Sumit Mohan, W. Mark Brown, et al.. (2022). Employment status at transplant influences ethnic disparities in outcomes after deceased donor kidney transplantation. BMC Nephrology. 23(1). 6–6. 2 indexed citations
6.
Murea, Mariana, W. Mark Brown, Jasmin Divers, et al.. (2017). Vascular Access Placement Order and Outcomes in Hemodialysis Patients: A Longitudinal Study. American Journal of Nephrology. 46(4). 268–275. 11 indexed citations
7.
Julian, Bruce A., Robert S. Gaston, W. Mark Brown, et al.. (2016). Effect of Replacing Race With Apolipoprotein L1 Genotype in Calculation of Kidney Donor Risk Index. American Journal of Transplantation. 17(6). 1540–1548. 46 indexed citations
8.
Woo, Jessica G., Lisa J. Martin, Lili Ding, et al.. (2012). Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis. BMC Genetics. 13(1). 75–75. 2 indexed citations
9.
Shi, Zhanzhong, et al.. (2011). Potential prognostic marker ubiquitin carboxyl-terminal hydrolase-L1 does not predict patient survival in non-small cell lung carcinoma. Journal of Experimental & Clinical Cancer Research. 30(1). 79–79. 16 indexed citations
10.
Brown, W. Mark, June J Pierce, Joan E. Hilner, et al.. (2009). Overview of the Rapid Response data. Genes and Immunity. 10(S1). S5–S15. 15 indexed citations
11.
Brown, W. Mark, June J Pierce, Joan E. Hilner, et al.. (2009). Overview of the MHC fine mapping data. Diabetes Obesity and Metabolism. 11(s1). 2–7. 38 indexed citations
12.
Brown, W. Mark. (2008). Vitamin D, vitamin D analogs (deltanoids) and prostate cancer. Expert Review of Clinical Pharmacology. 1(6). 803–813. 1 indexed citations
13.
Meschia, James F., Thomas G. Brott, Robert D. Brown, et al.. (2005). Phosphodiesterase 4D and 5-lipoxygenase activating protein in ischemic stroke. Annals of Neurology. 58(3). 351–361. 92 indexed citations
14.
Meschia, James F., Thomas G. Brott, Robert D. Brown, et al.. (2005). Correlation of proband and sibling stroke latency: The SWISS Study. Neurology. 64(6). 1061–1063. 4 indexed citations
15.
Brown, W. Mark, Ethan M. Lange, S. Lilly Zheng, et al.. (2004). Hereditary prostate cancer in African American families: linkage analysis using markers that map to five candidate susceptibility loci. British Journal of Cancer. 90(2). 510–514. 28 indexed citations
16.
Bensen, Jeannette T., Fang‐Chi Hsu, W. Mark Brown, et al.. (2004). Association Analysis of the Plasminogen Activator Inhibitor-1 4G/5G Polymorphism in Hispanics and African Americans: The IRAS Family Study. Human Heredity. 57(3). 128–137. 19 indexed citations
17.
Freedman, Barry I., Carl D. Langefeld, Stephen S. Rich, et al.. (2004). A Genome Scan for ESRD in Black Families Enriched for Nondiabetic Nephropathy. Journal of the American Society of Nephrology. 15(10). 2719–2727. 33 indexed citations
18.
19.
Brown, W. Mark, Stephanie R. Beck, Ethan M. Lange, et al.. (2003). Age-stratified heritability estimation in the Framingham Heart Study families. BMC Genetics. 4(S1). S32–S32. 37 indexed citations
20.
Graham, Robert, Carl D. Langefeld, Patrick M. Gaffney, et al.. (2001). Genetic linkage and transmission disequilibrium of marker haplotypes at chromosome 1q41 in human systemic lupus erythematosus. Arthritis Research & Therapy. 3(5). 299–305. 32 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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