Brett Lomenick

3.4k total citations · 1 hit paper
27 papers, 1.9k citations indexed

About

Brett Lomenick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Brett Lomenick has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Brett Lomenick's work include Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (3 papers) and Protein Degradation and Inhibitors (3 papers). Brett Lomenick is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Computational Drug Discovery Methods (3 papers) and Protein Degradation and Inhibitors (3 papers). Brett Lomenick collaborates with scholars based in United States, Canada and Singapore. Brett Lomenick's co-authors include Jing Huang, James A. Wohlschlegel, Joseph A. Loo, Richard W. Olsen, Jianing Wang, Jon Clardy, Thomas M. Vondriska, Fernando Gómez, Mariam Aghajan and Catherine F. Clarke and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Brett Lomenick

26 papers receiving 1.9k citations

Hit Papers

Target identification using drug affinity responsive targ... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brett Lomenick United States 13 1.3k 204 194 182 180 27 1.9k
Rui Hao China 15 1.1k 0.8× 108 0.5× 181 0.9× 99 0.5× 181 1.0× 48 1.6k
Thomas M. Vondriska United States 23 1.8k 1.4× 112 0.5× 195 1.0× 99 0.5× 210 1.2× 66 2.5k
Raymond Wu United States 17 1.1k 0.8× 111 0.5× 146 0.8× 116 0.6× 144 0.8× 24 1.9k
Lingyun Dai China 24 1.3k 1.0× 199 1.0× 215 1.1× 98 0.5× 137 0.8× 72 2.0k
Sonia Lobo Planey United States 15 807 0.6× 281 1.4× 255 1.3× 297 1.6× 131 0.7× 26 1.7k
Makoto Muroi Japan 25 1.2k 0.9× 124 0.6× 165 0.9× 382 2.1× 191 1.1× 78 1.8k
Hanna Axelsson Sweden 12 924 0.7× 167 0.8× 255 1.3× 118 0.6× 89 0.5× 17 1.4k
Adam Yasgar United States 25 1.4k 1.1× 540 2.6× 286 1.5× 271 1.5× 112 0.6× 51 2.4k
Helena Almqvist Sweden 9 902 0.7× 159 0.8× 225 1.2× 115 0.6× 88 0.5× 12 1.3k
Nicola Tolliday United States 20 1.6k 1.2× 223 1.1× 234 1.2× 144 0.8× 273 1.5× 28 2.1k

Countries citing papers authored by Brett Lomenick

Since Specialization
Citations

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

Fields of papers citing papers by Brett Lomenick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Lomenick

This figure shows the co-authorship network connecting the top 25 collaborators of Brett Lomenick. A scholar is included among the top collaborators of Brett Lomenick 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 Brett Lomenick. Brett Lomenick 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.
Sweredoski, Michael J., Elizabeth H. Jensen, Yelena Koldobskaya, et al.. (2026). Functional analysis of O-GlcNAcylation by networking of OGT interactors and substrates. Nature Chemical Biology.
2.
Sherman, David J., Lei Liu, Jennifer L. Mamrosh, et al.. (2024). The fatty liver disease–causing protein PNPLA3-I148M alters lipid droplet–Golgi dynamics. Proceedings of the National Academy of Sciences. 121(18). e2318619121–e2318619121. 16 indexed citations
3.
Tan, Chieh-Hsiang, et al.. (2024). Single-tissue proteomics in Caenorhabditis elegans reveals proteins resident in intestinal lysosome-related organelles. Proceedings of the National Academy of Sciences. 121(25). e2322588121–e2322588121. 8 indexed citations
4.
Ninova, Maria, et al.. (2023). Pervasive SUMOylation of heterochromatin and piRNA pathway proteins. Cell Genomics. 3(7). 100329–100329. 6 indexed citations
5.
Mamrosh, Jennifer L., David J. Sherman, Joseph R. Cohen, et al.. (2023). Quantitative measurement of the requirement of diverse protein degradation pathways in MHC class I peptide presentation. Science Advances. 9(25). eade7890–eade7890. 9 indexed citations
6.
Wang, Ting‐Yu, et al.. (2023). Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization. BMC Bioinformatics. 24(1). 239–239. 12 indexed citations
7.
Guna, Alina, Taylor A. Stevens, Alison J. Inglis, et al.. (2022). MTCH2 is a mitochondrial outer membrane protein insertase. Science. 378(6617). 317–322. 87 indexed citations
8.
Jones, Jeffrey J., et al.. (2022). System-wide analyses reveal essential roles of N-terminal protein modification in bacterial membrane integrity. iScience. 25(8). 104756–104756. 6 indexed citations
9.
Ravanfar, Raheleh, Yuling Sheng, Mona Shahgholi, et al.. (2022). Surface cysteines could protect the SARS-CoV-2 main protease from oxidative damage. Journal of Inorganic Biochemistry. 234. 111886–111886. 7 indexed citations
10.
Lomenick, Brett, et al.. (2022). Mechanisms of chlorate toxicity and resistance in Pseudomonas aeruginosa. Molecular Microbiology. 118(4). 321–335. 7 indexed citations
11.
Zhang, Yaru, Marco Jost, Ryan A. Pak, et al.. (2022). Adaptive exchange sustains cullin–RING ubiquitin ligase networks and proper licensing of DNA replication. Proceedings of the National Academy of Sciences. 119(36). e2205608119–e2205608119. 16 indexed citations
12.
Zhang, Tianyi, Xiang Ma, Amirhossein Mafi, et al.. (2021). A proteome-wide map of 20(S)-hydroxycholesterol interactors in cell membranes. Nature Chemical Biology. 17(12). 1271–1280. 40 indexed citations
13.
Meng, Shuxia, Spiros D. Garbis, Annie Moradian, et al.. (2021). LONP1 and mtHSP70 cooperate to promote mitochondrial protein folding. Nature Communications. 12(1). 265–265. 85 indexed citations
15.
Lomenick, Brett, Heping Shi, Jing Huang, & Chuo Chen. (2015). Identification and characterization of β-sitosterol target proteins. Bioorganic & Medicinal Chemistry Letters. 25(21). 4976–4979. 23 indexed citations
16.
Lomenick, Brett, Heejun Hwang, Robert H. Schiestl, et al.. (2014). Drug Affinity Responsive Target Stability (DARTS) for Small-Molecule Target Identification. Methods in molecular biology. 1263. 287–298. 252 indexed citations
17.
Lomenick, Brett. (2013). Small Molecule Target Identification using Drug Affinity Responsive Target Stability (DARTS). eScholarship (California Digital Library). 1 indexed citations
18.
Aldana-Masangkay, Grace, Agustı́n Rodrı́guez-González, Tara L. Lin, et al.. (2011). Tubacin suppresses proliferation and induces apoptosis of acute lymphoblastic leukemia cells. Leukemia & lymphoma. 52(8). 1544–1555. 42 indexed citations
19.
Lomenick, Brett, Richard W. Olsen, & Jing Huang. (2010). Identification of Direct Protein Targets of Small Molecules. ACS Chemical Biology. 6(1). 34–46. 232 indexed citations
20.
Lomenick, Brett, Rui Hao, R Chin, et al.. (2009). Target identification using drug affinity responsive target stability (DARTS). Proceedings of the National Academy of Sciences. 106(51). 21984–21989. 785 indexed citations breakdown →

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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