David L. Friedman

1.8k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

David L. Friedman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David L. Friedman has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David L. Friedman's work include Genetic Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). David L. Friedman is often cited by papers focused on Genetic Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). David L. Friedman collaborates with scholars based in United States, Italy and Germany. David L. Friedman's co-authors include Lida Kimmel, John J. Bartko, Nadeem Q. Mirza, Robert M. Cohen, Karen Putnam, Trey Sunderland, Robert Roberts, G. Manetti, Matthew Zimmermann and Brian Tang and has published in prestigious journals such as Science, JAMA and Blood.

In The Last Decade

David L. Friedman

17 papers receiving 1.3k citations

Hit Papers

Decreased β-Amyloid1-42and Increased Tau Levels in Cerebr... 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Decreased β-Amyloid1-42and Increased Tau Levels in Cerebrospinal Fluid of Patients With Alzheimer Disease
    2003 500 citations Trey Sunderland, Nadeem Q. Mirza et al. JAMA profile →

Peers

David L. Friedman
Sun Ah Park South Korea
Yasuhiro Wada Japan
Eve H. Pickering United States
Darrell D. Mousseau Canada
James W. Schmidley United States
Derrick R. Arnelle United States
Karl Morten United Kingdom
Erik Mårtensson Sweden
Anton D. Michel United Kingdom
H.R. Scholte Netherlands
Sun Ah Park South Korea
David L. Friedman
Citations per year, relative to David L. Friedman David L. Friedman (= 1×) peers Sun Ah Park

Countries citing papers authored by David L. Friedman

Since Specialization
Citations

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

Fields of papers citing papers by David L. Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Friedman. 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 David L. Friedman. The network helps show where David L. Friedman may publish in the future.

Co-authorship network of co-authors of David L. Friedman

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

All Works

17 of 17 papers shown
1.
Crowley, T. Blaine, Ian M. Campbell, David L. Friedman, et al.. (2023). A case-control study of bleeding risk in children with 22q11.2 deletion syndrome undergoing cardiac surgery. Platelets. 35(1). 2290108–2290108. 2 indexed citations
2.
Leibowitz, Michael S., et al.. (2018). Standardization of prophylactic platelet transfusion dosing in a pediatric oncology population: a quality improvement project. Transfusion. 58(12). 2836–2840. 4 indexed citations
3.
Price, Thomas H., Michael Boeckh, Ryan W. Harrison, et al.. (2015). Efficacy of transfusion with granulocytes from G-CSF/dexamethasone–treated donors in neutropenic patients with infection. Blood. 126(18). 2153–2161. 142 indexed citations
4.
Sunderland, Trey, Nadeem Q. Mirza, Karen Putnam, et al.. (2004). Cerebrospinal fluid β-amyloid1–42 and tau in control subjects at risk for Alzheimer’s disease: The effect of APOE ε4 allele. Biological Psychiatry. 56(9). 670–676. 154 indexed citations
5.
Sunderland, Trey, Nadeem Q. Mirza, Karen Putnam, et al.. (2003). Decreased β-Amyloid1-42and Increased Tau Levels in Cerebrospinal Fluid of Patients With Alzheimer Disease. JAMA. 289(16). 2094–103. 500 indexed citations breakdown →
6.
Friedman, David L., B. Michael Silber, Patrice M. Milos, et al.. (2000). CYP2D6 Genotyping as an alternative to phenotyping for determination of metabolic status in a clinical trial setting. PubMed. 2(4). 1–11. 67 indexed citations
7.
Roberts, Robert, et al.. (1995). Expression of brain‐type creatine kinase and ubiquitous mitochondrial creatine kinase in the fetal rat brain: Evidence for a nuclear energy shuttle. The Journal of Comparative Neurology. 363(3). 389–401. 24 indexed citations
8.
Friedman, David L. & Robert Roberts. (1994). Compartment of brain‐type cretine kinase and ubiquitous mitochondrial cretine kinase in neurons: Evidence for a cretine phosphate energy shuttle in adult rat brain. The Journal of Comparative Neurology. 343(3). 500–511. 52 indexed citations
9.
Lin, Min, et al.. (1994). Determination of the catalytic site of creatine kinase by site-directed mutagenesis. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1206(1). 97–104. 47 indexed citations
10.
Greve, Gottfried, Linda L. Bachinski, David L. Friedman, et al.. (1994). Isolation of a de novo mutant myocardial beta MHC protein in a pedigree with hypertrophic cardiomyopathy.. PubMed. 3(11). 2073–5. 17 indexed citations
11.
Perryman, M. Benjamin, et al.. (1993). Molecular genetics of myotonic dystrophy. Trends in Cardiovascular Medicine. 3(3). 82–84. 4 indexed citations
12.
Fu, Ying‐Hui, David L. Friedman, Stephen Richards, et al.. (1993). Decreased Expression of Myotonin-Protein Kinase Messenger RNA and Protein in Adult Form of Myotonic Dystrophy. Science. 260(5105). 235–238. 249 indexed citations
13.
Friedman, David L., et al.. (1991). Metabolic and diagnostic significance of creatine kinase isoenzymes. Trends in Cardiovascular Medicine. 1(5). 195–200. 22 indexed citations
14.
Friedman, David L. & Dianna A. Redburn. (1990). Evidence for Functionally Distinct Subclasses of γ‐Aminobutyric Acid Receptors in Rabbit Retina. Journal of Neurochemistry. 55(4). 1189–1199. 30 indexed citations
15.
Friedman, David L., et al.. (1989). Developmental expression of creatine kinase isozymes in mammalian lens. Experimental Eye Research. 49(3). 445–457. 16 indexed citations
16.
Rosen, Milton J., David L. Friedman, & Michael D. Gross. (1964). A Surface Tension Study of the Interaction of Dimethyldodecylamine Oxide with Potassium Dodecanesulfonate in Dilute Aqueous Solution. The Journal of Physical Chemistry. 68(11). 3219–3225. 38 indexed citations
17.
Kennedy, Roland L., et al.. (1959). HYPOTENSION DURING OBSTETRICAL ANESTHESIA. Anesthesiology. 20(2). 153–155. 19 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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