Brian P. Weiser

436 total citations
26 papers, 328 citations indexed

About

Brian P. Weiser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Geriatrics and Gerontology. According to data from OpenAlex, Brian P. Weiser has authored 26 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Geriatrics and Gerontology. Recurrent topics in Brian P. Weiser's work include DNA Repair Mechanisms (8 papers), DNA and Nucleic Acid Chemistry (8 papers) and Genomics and Chromatin Dynamics (6 papers). Brian P. Weiser is often cited by papers focused on DNA Repair Mechanisms (8 papers), DNA and Nucleic Acid Chemistry (8 papers) and Genomics and Chromatin Dynamics (6 papers). Brian P. Weiser collaborates with scholars based in United States, Germany and China. Brian P. Weiser's co-authors include Roderic G. Eckenhoff, Philip A. Cole, James T. Stivers, Grace Brannigan, Kellie A. Woll, Max B. Kelz, William P. Dailey, Alexandre Esadze, Ivan J. Dmochowski and Andrew R. McKinstry-Wu and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Brian P. Weiser

25 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian P. Weiser United States 12 212 84 40 26 23 26 328
Rongkun Tao China 4 340 1.6× 86 1.0× 33 0.8× 9 0.3× 14 0.6× 5 485
Linnéa Schmidt Sweden 12 235 1.1× 27 0.3× 43 1.1× 6 0.2× 23 1.0× 19 478
Max Richter Germany 11 202 1.0× 79 0.9× 159 4.0× 5 0.2× 33 1.4× 14 433
Virginie Chavant France 10 271 1.3× 42 0.5× 84 2.1× 10 0.4× 46 2.0× 12 401
Carol D. Farr United States 9 250 1.2× 63 0.8× 13 0.3× 3 0.1× 26 1.1× 11 349
Alexander G. Komarov United States 10 412 1.9× 102 1.2× 35 0.9× 4 0.2× 13 0.6× 12 495
Koning Shen United States 12 495 2.3× 175 2.1× 91 2.3× 8 0.3× 44 1.9× 15 621
Quinn Kleerekoper United States 12 294 1.4× 74 0.9× 12 0.3× 2 0.1× 27 1.2× 12 463
Michael Friedman United States 7 173 0.8× 31 0.4× 37 0.9× 2 0.1× 15 0.7× 9 342
Matthew J. Ranaghan United States 11 373 1.8× 161 1.9× 25 0.6× 6 0.2× 11 0.5× 16 524

Countries citing papers authored by Brian P. Weiser

Since Specialization
Citations

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

Fields of papers citing papers by Brian P. Weiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian P. Weiser. 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 Brian P. Weiser. The network helps show where Brian P. Weiser may publish in the future.

Co-authorship network of co-authors of Brian P. Weiser

This figure shows the co-authorship network connecting the top 25 collaborators of Brian P. Weiser. A scholar is included among the top collaborators of Brian P. Weiser 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 Brian P. Weiser. Brian P. Weiser 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.
Wang, Matthew, et al.. (2025). Ion-DNA Interactions as a Key Determinant of Uracil DNA Glycosylase Activity. Biochemistry. 64(10). 2332–2344.
2.
Yang, Jie, Nathan I. Nicely, & Brian P. Weiser. (2023). Effects of Dimerization on the Deacylase Activities of Human SIRT2. Biochemistry. 62(23). 3383–3395. 4 indexed citations
3.
4.
Weiser, Brian P., et al.. (2022). Assay design for analysis of human uracil DNA glycosylase. Methods in enzymology on CD-ROM/Methods in enzymology. 679. 343–362. 1 indexed citations
5.
Hong, Jun Young, Joel Cassel, Jie Yang, Hening Lin, & Brian P. Weiser. (2021). High‐Throughput Screening Identifies Ascorbyl Palmitate as a SIRT2 Deacetylase and Defatty‐Acylase Inhibitor. ChemMedChem. 16(22). 3484–3494. 4 indexed citations
6.
Weiser, Brian P., et al.. (2020). A possible link to uracil DNA glycosylase in the synergistic action of HDAC inhibitors and thymidylate synthase inhibitors. Journal of Translational Medicine. 18(1). 377–377. 2 indexed citations
7.
Weiser, Brian P.. (2019). Analysis of uracil DNA glycosylase (UNG2) stimulation by replication protein A (RPA) at ssDNA-dsDNA junctions. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1868(3). 140347–140347. 6 indexed citations
8.
Weiser, Brian P., et al.. (2018). N-terminal domain of human uracil DNA glycosylase (hUNG2) promotes targeting to uracil sites adjacent to ssDNA–dsDNA junctions. Nucleic Acids Research. 46(14). 7169–7178. 21 indexed citations
9.
Weiser, Brian P., James T. Stivers, & Philip A. Cole. (2017). Protein Semi-Synthesis to Characterize Phospho-Regulation of Human UNG2. Biophysical Journal. 112(3). 66a–66a. 1 indexed citations
10.
Weiser, Brian P., James T. Stivers, & Philip A. Cole. (2017). Investigation of N-Terminal Phospho-Regulation of Uracil DNA Glycosylase Using Protein Semisynthesis. Biophysical Journal. 113(2). 393–401. 29 indexed citations
11.
Esadze, Alexandre, et al.. (2017). Measurement of nanoscale DNA translocation by uracil DNA glycosylase in human cells. Nucleic Acids Research. 45(21). 12413–12424. 20 indexed citations
12.
Weiser, Brian P., Michael Hall, Nathan L. Weinbren, et al.. (2015). Macroscopic and Macromolecular Specificity of Alkylphenol Anesthetics for Neuronal Substrates. Scientific Reports. 5(1). 9695–9695. 4 indexed citations
13.
Weiser, Brian P. & Roderic G. Eckenhoff. (2015). Propofol Inhibits SIRT2 Deacetylase through a Conformation-specific, Allosteric Site. Journal of Biological Chemistry. 290(13). 8559–8568. 12 indexed citations
14.
McKinstry-Wu, Andrew R., Weiming Bu, Ganesha Rai, et al.. (2015). Discovery of a Novel General Anesthetic Chemotype Using High-throughput Screening. Anesthesiology. 122(2). 325–333. 15 indexed citations
15.
Weiser, Brian P., Weiming Bu, David Wong, & Roderic G. Eckenhoff. (2014). Sites and functional consequence of VDAC–alkylphenol anesthetic interactions. FEBS Letters. 588(23). 4398–4403. 11 indexed citations
16.
Weiser, Brian P., et al.. (2014). Computational Investigation of Cholesterol Binding Sites on Mitochondrial VDAC. The Journal of Physical Chemistry B. 118(33). 9852–9860. 45 indexed citations
17.
Weiser, Brian P., Kellie A. Woll, William P. Dailey, & Roderic G. Eckenhoff. (2013). Mechanisms Revealed Through General Anesthetic Photolabeling. Current anesthesiology reports. 4(1). 57–66. 22 indexed citations
18.
Rai, Ganesha, Weiming Bu, Wendy Lea, et al.. (2013). Discovery of Novel General Anesthetics Using Apoferritin as a Surrogate System. 2 indexed citations
19.
Weiser, Brian P., Max B. Kelz, & Roderic G. Eckenhoff. (2012). In Vivo Activation of Azipropofol Prolongs Anesthesia and Reveals Synaptic Targets. Journal of Biological Chemistry. 288(2). 1279–1285. 23 indexed citations
20.
Weiser, Brian P., et al.. (2011). Chronic ethanol feeding causes depression of mitochondrial elongation factor Tu in the rat liver: implications for the mitochondrial ribosome. American Journal of Physiology-Gastrointestinal and Liver Physiology. 300(5). G815–G822. 7 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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