Darrell Sawmiller

1.6k total citations
53 papers, 1.2k citations indexed

About

Darrell Sawmiller is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Darrell Sawmiller has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Physiology, 11 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Darrell Sawmiller's work include Alzheimer's disease research and treatments (22 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Adenosine and Purinergic Signaling (5 papers). Darrell Sawmiller is often cited by papers focused on Alzheimer's disease research and treatments (22 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Adenosine and Purinergic Signaling (5 papers). Darrell Sawmiller collaborates with scholars based in United States, China and Japan. Darrell Sawmiller's co-authors include Jun Tan, Jun Tan, Ahsan Habib, Brian Giunta, C. C. Chou, Huayan Hou, R. Douglas Shytle, Demian Obregon, Song Li and Paul R. Sanberg and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Darrell Sawmiller

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darrell Sawmiller United States 19 512 435 180 171 131 53 1.2k
Lifang Zou China 24 489 1.0× 493 1.1× 78 0.4× 197 1.2× 135 1.0× 47 1.3k
Hong Xu China 25 483 0.9× 585 1.3× 126 0.7× 207 1.2× 140 1.1× 78 1.6k
Grzegorz A. Czapski Poland 25 478 0.9× 622 1.4× 171 0.9× 245 1.4× 299 2.3× 56 1.7k
Sai-Li Yi United States 7 574 1.1× 546 1.3× 60 0.3× 131 0.8× 222 1.7× 7 1.3k
Ashok Iyaswamy Hong Kong 28 669 1.3× 731 1.7× 313 1.7× 207 1.2× 243 1.9× 64 2.1k
Je‐Seong Won United States 22 560 1.1× 821 1.9× 88 0.5× 216 1.3× 230 1.8× 58 1.6k
Byeong Tak Jeon South Korea 22 453 0.9× 527 1.2× 94 0.5× 123 0.7× 144 1.1× 37 1.4k
Fen‐Fang Hong China 22 454 0.9× 543 1.2× 309 1.7× 103 0.6× 211 1.6× 41 1.7k
Heena Khan India 21 194 0.4× 524 1.2× 111 0.6× 131 0.8× 204 1.6× 60 1.2k

Countries citing papers authored by Darrell Sawmiller

Since Specialization
Citations

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

Fields of papers citing papers by Darrell Sawmiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darrell Sawmiller

This figure shows the co-authorship network connecting the top 25 collaborators of Darrell Sawmiller. A scholar is included among the top collaborators of Darrell Sawmiller 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 Darrell Sawmiller. Darrell Sawmiller 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.
Alexander, Jacob S., et al.. (2022). Autism, heparan sulfate and potential interventions. Experimental Neurology. 353. 114050–114050. 4 indexed citations
2.
Sawmiller, Darrell, et al.. (2021). Propionate and Alzheimer’s Disease. Frontiers in Aging Neuroscience. 12. 580001–580001. 56 indexed citations
3.
Mori, Takashi, Naoki Koyama, Tomotaka Yokoo, et al.. (2020). Gallic acid is a dual α/β-secretase modulator that reverses cognitive impairment and remediates pathology in Alzheimer mice. Journal of Biological Chemistry. 295(48). 16251–16266. 69 indexed citations
4.
Hou, Huayan, Ahsan Habib, Dan Zi, et al.. (2017). Low-Density Lipoprotein Receptor-Related Protein-1 (LRP1) C4408R Mutant Promotes Amyloid Precursor Protein (APP) α-Cleavage in Vitro. NeuroMolecular Medicine. 19(2-3). 300–308. 4 indexed citations
5.
6.
Sawmiller, Darrell, et al.. (2016). The role of heparan sulfate deficiency in autistic phenotype: potential involvement of Slit/Robo/srGAPs-mediated dendritic spine formation. Neural Development. 11(1). 11–11. 13 indexed citations
7.
Deng, Juan, Ahsan Habib, Demian Obregon, et al.. (2015). Soluble amyloid precursor protein alpha inhibits tau phosphorylation through modulation of GSK3β signaling pathway. Journal of Neurochemistry. 135(3). 630–637. 62 indexed citations
8.
Li, Song, Huayan Hou, T. Mori, et al.. (2015). Swedish mutant APP-based BACE1 binding site peptide reduces APP β-cleavage and cerebral Aβ levels in Alzheimer’s mice. Scientific Reports. 5(1). 11322–11322. 20 indexed citations
9.
Li, Song, Juan Deng, Jun Tian, et al.. (2014). Specific antibody binding to the APP672–699 region shifts APP processing from α- to β-cleavage. Cell Death and Disease. 5(8). e1374–e1374. 8 indexed citations
10.
Sawmiller, Darrell, Song Li, Md Shahaduzzaman, et al.. (2014). Luteolin Reduces Alzheimer’s Disease Pathologies Induced by Traumatic Brain Injury. International Journal of Molecular Sciences. 15(1). 895–904. 128 indexed citations
11.
Sawmiller, Darrell, Song Li, Kavon Rezai‐Zadeh, et al.. (2013). Octyl Gallate Markedly Promotes Anti-Amyloidogenic Processing of APP through Estrogen Receptor-Mediated ADAM10 Activation. PLoS ONE. 8(8). e71913–e71913. 26 indexed citations
12.
Obregon, Demian, Jared Ehrhart, Juan Deng, et al.. (2013). Baicalein reduces β‐amyloid and promotes nonamyloidogenic amyloid precursor protein processing in an Alzheimer's disease transgenic mouse model. Journal of Neuroscience Research. 91(9). 1239–1246. 98 indexed citations
13.
Wang, Che, Darrell Sawmiller, Yaxin Fan, et al.. (2013). Chronic mild stress-induced changes of risk assessment behaviors in mice are prevented by chronic treatment with fluoxetine but not diazepam. Pharmacology Biochemistry and Behavior. 116. 116–128. 16 indexed citations
14.
Habib, Ahsan, Juan Deng, Huayan Hou, et al.. (2013). Mycoplasma hyorhinis markedly degrades β-amyloid peptides in vitro and ex vivo: a novel biological approach for treating Alzheimer's disease?. PubMed. 5(6). 634–42.
15.
16.
Henning, Robert J., et al.. (2010). HUMAN UMBILICAL CORD BLOOD STEM CELLS SECRETE GROWTH FACTORS AND ANTI-INFLAMMATORY CYTOKINES THAT PROTECT VASCULAR ENDOTHELIAL CELLS AND CARDIAC MYOCYTES FROM ISCHEMIA AND INJURY. Journal of the American College of Cardiology. 55(10). A110.E1027–A110.E1027. 2 indexed citations
17.
Sawmiller, Darrell, et al.. (2006). Mechanisms of vasoactive intestinal peptide-elicited coronary vasodilation in the isolated perfused rat heart. Neuropeptides. 40(5). 349–355. 15 indexed citations
18.
Sawmiller, Darrell, Robert J. Henning, Javier Cuevas, Wayne I. DeHaven, & David L. Vesely. (2004). Coronary vascular effects of vasoactive intestinal peptide in the isolated perfused rat heart. Neuropeptides. 38(5). 289–297. 9 indexed citations
19.
Dobson, J G, et al.. (1996). The Contractile Response of the Ventricular Myocardium to Adenosine A1 and A2 Receptor Stimulationa. Annals of the New York Academy of Sciences. 793(1). 64–73. 10 indexed citations
20.
Sawmiller, Darrell, Joel Linden, & Robert M. Berne. (1994). Effects of xanthine amine congener on hypoxic coronary resistance and venous and epicardial adenosine concentrations. Cardiovascular Research. 28(5). 604–609. 3 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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