Donna M. Brown

5.9k total citations
37 papers, 1.2k citations indexed

About

Donna M. Brown is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Donna M. Brown has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Donna M. Brown's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genomics and Rare Diseases (5 papers) and Cystic Fibrosis Research Advances (4 papers). Donna M. Brown is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genomics and Rare Diseases (5 papers) and Cystic Fibrosis Research Advances (4 papers). Donna M. Brown collaborates with scholars based in United States, Australia and France. Donna M. Brown's co-authors include Howard J. Jacob, Eric S. Lander, Abraham P. Provoost, Mark J. Daly, Eric S. Winer, George Koike, Jason S. Simon, Victor J. Dzau, Claude Szpirer and Mark Daly and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Cancer Research.

In The Last Decade

Donna M. Brown

36 papers receiving 1.2k citations

Peers

Donna M. Brown

GENET

CCM

PHYSI

EDM

George T. Cicila United States

E Chin United States

Jacqueline Chrast Switzerland

Atakan Aydın Germany

Yoshikatsu Uematsu Japan

Elena Popova Germany

Machi Furuta Japan

Kenji Ohe Japan

Dirk Prawitt Germany

Hiroko Okuda Japan

George T. Cicila United States

Donna M. Brown

499 ×0.9

GENET

363 ×0.8

341 ×1.8

CCM

333 ×1.9

PHYSI

243 ×1.9

EDM

Citations per year, relative to Donna M. Brown Donna M. Brown (= 1×) peers George T. Cicila

Countries citing papers authored by Donna M. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Donna M. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna M. Brown

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

All Works

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20 of 20 papers shown

Bar-Peled, Yael, et al.. (2024). Pharmacogenomics for Prader-Willi syndrome: caregiver interest and planned utilization. Pharmacogenomics. 25(4). 207–216.

Braun, Andrew T., HuiChuan J. Lai, Anita Laxova, et al.. (2024). Vitamin D status and variable responses to supplements depend in part on genetic factors in adults with cystic fibrosis. Journal of Cystic Fibrosis. 23(4). 754–757. 3 indexed citations

Samani, Adrienne, Michael A. Lopez, Camille L. Birch, et al.. (2022). DOCKopathies: A systematic review of the clinical pathologies associated with human DOCK pathogenic variants. Human Mutation. 43(9). 1149–1161. 7 indexed citations

Lai, HuiChuan J., Qiongshi Lu, Sangita G. Murali, et al.. (2022). Genetic factors help explain the variable responses of young children with cystic fibrosis to vitamin D supplements. Clinical Nutrition ESPEN. 51. 367–376. 9 indexed citations

Wilk, Melissa A., Andrew T. Braun, Philip M. Farrell, et al.. (2020). Applying whole-genome sequencing in relation to phenotype and outcomes in siblings with cystic fibrosis. Molecular Case Studies. 6(1). a004531–a004531. 9 indexed citations

Holt, James, Brandon Wilk, Camille L. Birch, et al.. (2019). VarSight: prioritizing clinically reported variants with binary classification algorithms. BMC Bioinformatics. 20(1). 496–496. 11 indexed citations

Deisseroth, Cole A., Johannes Birgmeier, Ethan E. Bodle, et al.. (2018). ClinPhen extracts and prioritizes patient phenotypes directly from medical records to expedite genetic disease diagnosis. Genetics in Medicine. 21(7). 1585–1593. 62 indexed citations

Pham, Elizabeth, Melissa Yin, Christian Peters, et al.. (2016). Preclinical Efficacy of Bevacizumab with CRLX101, an Investigational Nanoparticle–Drug Conjugate, in Treatment of Metastatic Triple-Negative Breast Cancer. Cancer Research. 76(15). 4493–4503. 55 indexed citations

Peters, Christian, Douglas Lazarus, Donna M. Brown, et al.. (2015). Abstract B37: Selective tumor localization of CRLX101, a novel nanoparticle-drug conjugate. Molecular Cancer Therapeutics. 14(12_Supplement_2). B37–B37. 2 indexed citations

10.

Vadász, Csaba, Mariko Saito, Andrea Balla, et al.. (2000). Mapping of quantitative trait loci for ethanol preference in quasi-congenic strains. Alcohol. 20(2). 161–171. 30 indexed citations

11.

Ogata, Tsutomu, Keiko Wakui, Koji Muroya, et al.. (1998). Microphthalmia with linear skin defects syndrome in a mosaic female infant with monosomy for the Xp22 region: molecular analysis of the Xp22 breakpoint and the X-inactivation pattern. Human Genetics. 103(1). 51–56. 27 indexed citations

12.

Brown, Donna M., Richard P.E. van Dokkum, S. Mechiel Korte, et al.. (1998). Genetic Control of Susceptiblity for Renal Damage in Hypertensive Fawn-Hooded Rats. Renal Failure. 20(2). 407–411. 13 indexed citations

13.

Stelzner, Thomas J., et al.. (1997). Genetic Determinants of Pulmonary Hypertension in Fawn-Hooded Rats. CHEST Journal. 111(6). 96S–96S. 14 indexed citations

14.

Brown, Donna M., Abraham P. Provoost, Mark J. Daly, Eric S. Lander, & Howard J. Jacob. (1996). Renal disease susceptibility and hypertension are under independent genetic control in the fawn-hooded rat. Nature Genetics. 12(1). 44–51. 216 indexed citations

15.

Jacob, Howard J., Donna M. Brown, Mark Daly, et al.. (1995). A genetic linkage map of the laboratory rat, Rattus norvegicus. Nature Genetics. 9(1). 63–69. 394 indexed citations

16.

Bloch, Kenneth D., Donna M. Brown, Jesse D. Roberts, et al.. (1995). Three Members of the Nitric Oxide Synthase II Gene Family (NOS2A, NOS2B, and NOS2C) Colocalize to Human Chromosome 17. Genomics. 27(3). 526–530. 30 indexed citations

17.

Majumdar, Abhishek, Donna M. Brown, Stephen Kerby, et al.. (1991). Sequence of human HMG2 cDNA. Nucleic Acids Research. 19(23). 6643–6643. 26 indexed citations

18.

Nasir, Jamal, Mark Maconochie, & Donna M. Brown. (1991). Co-amplification of L1 line elements with localised low copy repeats in Giemsa dark bands: implications for genome organisation. Nucleic Acids Research. 19(12). 3255–3260. 15 indexed citations

19.

Brown, Donna M. & M.T. Pailthorpe. (1988). Antistatic Wool Part I: Polyethylene Oxides and Polyethoxylated Amines as Antistatic Agents for Wool. Journal of the Textile Institute. 79(2). 272–280. 5 indexed citations

20.

Brown, Donna M., et al.. (1982). /sup 35/S-glycosaminoglycan and /sup 35/S-glycopeptide metabolism by diabetic glomeruli and aorta. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 31. 1 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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