Daniel K. Nomura

25.7k total citations · 12 hit papers
165 papers, 17.5k citations indexed

About

Daniel K. Nomura is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Daniel K. Nomura has authored 165 papers receiving a total of 17.5k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 38 papers in Pharmacology and 25 papers in Organic Chemistry. Recurrent topics in Daniel K. Nomura's work include Cannabis and Cannabinoid Research (30 papers), Protein Degradation and Inhibitors (28 papers) and Ubiquitin and proteasome pathways (24 papers). Daniel K. Nomura is often cited by papers focused on Cannabis and Cannabinoid Research (30 papers), Protein Degradation and Inhibitors (28 papers) and Ubiquitin and proteasome pathways (24 papers). Daniel K. Nomura collaborates with scholars based in United States, Switzerland and China. Daniel K. Nomura's co-authors include Benjamin F. Cravatt, James A. Olzmann, Jonathan Z. Long, Roberto Zoncu, Breanna Ford, Thomas J. Maimone, Leslie Magtanong, Scott J. Dixon, Kirill Bersuker and Carl C. Ward and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel K. Nomura

161 papers receiving 17.3k citations

Hit Papers

The CoQ oxidoreductase FSP1 acts p... 2009 2026 2014 2020 2019 2019 2009 2011 2010 500 1000 1.5k 2.0k 2.5k
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. The CoQ oxidoreductase FSP1 acts parallel to GPX4 to inhibit ferroptosis
    2019 2.6k citations Bingqi Tong, Thomas J. Maimone et al. profile →
  2. Exogenous Monounsaturated Fatty Acids Promote a Ferroptosis-Resistant Cell State
    2019 780 citations Milton To, Carl C. Ward et al. Cell chemical biology profile →
  3. Monoacylglycerol Lipase Regulates a Fatty Acid Network that Promotes Cancer Pathogenesis
    2009 768 citations Daniel K. Nomura, Benjamin F. Cravatt et al. profile →
  4. Endocannabinoid Hydrolysis Generates Brain Prostaglandins That Promote Neuroinflammation
    2011 545 citations Daniel K. Nomura, Benjamin F. Cravatt et al. Science profile →
  5. Chronic monoacylglycerol lipase blockade causes functional antagonism of the endocannabinoid system
    2010 505 citations Daniel K. Nomura, Benjamin F. Cravatt et al. profile →
  6. Microglia Dictate the Impact of Saturated Fat Consumption on Hypothalamic Inflammation and Neuronal Function
    2014 481 citations Daniel I. Benjamin, Daniel K. Nomura et al. profile →
  7. Advances in covalent drug discovery
    2022 453 citations Lydia Boike, Daniel K. Nomura et al. profile →
  8. DGAT1-Dependent Lipid Droplet Biogenesis Protects Mitochondrial Function during Starvation-Induced Autophagy
    2017 438 citations Sharon M. Louie, Roberto Zoncu et al. profile →
  9. Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complex
    2017 394 citations Brian M. Castellano, Ashley Thelen et al. Science profile →
  10. Discovery of a Covalent FEM1B Recruiter for Targeted Protein Degradation Applications
    2022 132 citations Jessica N. Spradlin, Scott M. Brittain et al. Journal of the American Chemical Society profile →
  11. Rational Chemical Design of Molecular Glue Degraders
    2023 103 citations Scott M. Brittain, Lynn M. McGregor et al. profile →
  12. DCAF16-Based Covalent Handle for the Rational Design of Monovalent Degraders
    2024 47 citations Daniel K. Nomura et al. profile →

Peers

Daniel K. Nomura
Ann M. Bode United States
Pamela Maher United States
Larry W. Oberley United States
Fulvio Ursini Italy
Pak H. Chan United States
Young‐Myeong Kim South Korea
Masahiko Negishi United States
Hartmut Kühn Germany
Jaime L. Masferrer United States
Peter M. Blumberg United States
Ann M. Bode United States
Daniel K. Nomura
Citations per year, relative to Daniel K. Nomura Daniel K. Nomura (= 1×) peers Ann M. Bode

Countries citing papers authored by Daniel K. Nomura

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Nomura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. Nomura. 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 Daniel K. Nomura. The network helps show where Daniel K. Nomura may publish in the future.

Co-authorship network of co-authors of Daniel K. Nomura

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Nomura. A scholar is included among the top collaborators of Daniel K. Nomura 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 Daniel K. Nomura. Daniel K. Nomura 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.
Lin, Ying Q., et al.. (2025). Covalent Destabilizing Degrader of AR and AR-V7 in Androgen-Independent Prostate Cancer Cells. Journal of the American Chemical Society. 147(24). 20512–20524. 2 indexed citations
2.
Belcher, Bridget P., et al.. (2025). Development of Second-Generation Acyl Silane Photoaffinity Probes for Cellular Chemoproteomic Profiling. ACS Chemical Biology. 20(11). 2601–2608.
3.
Zushin, Peter‐James H., Hyo Min Park, Sharon M. Louie, et al.. (2024). FATP5 Is Indispensable for the Growth of Intrahepatic Cholangiocarcinoma. Molecular Cancer Research. 22(6). 585–595. 3 indexed citations
4.
Fantoni, Tommaso, X. S. Jiang, Zhi‐Tao He, et al.. (2024). Convergent synthesis and protein binding of vicinal difluorides by stereodivergent C–C bond formation. Chem. 10(12). 3709–3721. 7 indexed citations
5.
Shao, Qian, et al.. (2024). Targeted Protein Localization by Covalent 14–3–3 Recruitment. Journal of the American Chemical Society. 146(36). 24788–24799. 10 indexed citations
6.
Belcher, Bridget P., Bingqi Tong, Emily Ho, et al.. (2023). Chemoproteomic Profiling Reveals that Anticancer Natural Product Dankastatin B Covalently Targets Mitochondrial VDAC3**. ChemBioChem. 24(14). e202300111–e202300111. 2 indexed citations
7.
Benjamin, Daniel I., Jamie O. Brett, Joel S. Benjamin, et al.. (2023). Multiomics reveals glutathione metabolism as a driver of bimodality during stem cell aging. Cell Metabolism. 35(3). 472–486.e6. 34 indexed citations
8.
Davis, Matthew A., Beverly Fu, J. Silverman, et al.. (2023). A cellular platform for production of C4 monomers. Chemical Science. 14(42). 11718–11726. 2 indexed citations
9.
Shin, Hijai R., Lei Wang, Yusuke Sugasawa, et al.. (2022). Lysosomal GPCR-like protein LYCHOS signals cholesterol sufficiency to mTORC1. Science. 377(6612). 1290–1298. 62 indexed citations
10.
Heppler, Lisa N., Susana P. Egusquiaguirre, Natalie Boehnke, et al.. (2021). Lipidome-based Targeting of STAT3-driven Breast Cancer Cells Using Poly- l -glutamic Acid–coated Layer-by-Layer Nanoparticles. Molecular Cancer Therapeutics. 20(4). 726–738. 9 indexed citations
11.
Tong, Bingqi, Bridget P. Belcher, Daniel K. Nomura, & Thomas J. Maimone. (2021). Chemical investigations into the biosynthesis of the gymnastatin and dankastatin alkaloids. Chemical Science. 12(25). 8884–8891. 6 indexed citations
12.
Luo, Mai, Jessica N. Spradlin, Lydia Boike, et al.. (2021). Chemoproteomics-enabled discovery of covalent RNF114-based degraders that mimic natural product function. Cell chemical biology. 28(4). 559–566.e15. 114 indexed citations
13.
Isobe, Yosuke, Mikiko Okumura, Lynn M. McGregor, et al.. (2020). Manumycin polyketides act as molecular glues between UBR7 and P53. Nature Chemical Biology. 16(11). 1189–1198. 91 indexed citations
14.
Ahyong, Vida, Charles A. Berdan, Thomas Burke, Daniel K. Nomura, & Matthew D. Welch. (2019). A Metabolic Dependency for Host Isoprenoids in the Obligate Intracellular Pathogen Rickettsia parkeri Underlies a Sensitivity to the Statin Class of Host-Targeted Therapeutics. mSphere. 4(6). 13 indexed citations
15.
Ward, Carl C., Scott M. Brittain, Patrick S. Lee, et al.. (2019). Covalent Ligand Screening Uncovers a RNF4 E3 Ligase Recruiter for Targeted Protein Degradation Applications. ACS Chemical Biology. 14(11). 2430–2440. 228 indexed citations
16.
Spradlin, Jessica N., Xirui Hu, Carl C. Ward, et al.. (2019). Harnessing the anti-cancer natural product nimbolide for targeted protein degradation. Nature Chemical Biology. 15(7). 747–755. 294 indexed citations
17.
Tomin, Tamara, Juergen Gindlhuber, Gerhard Thallinger, et al.. (2018). Deletion of Adipose Triglyceride Lipase Links Triacylglycerol Accumulation to a More-Aggressive Phenotype in A549 Lung Carcinoma Cells. Journal of Proteome Research. 17(4). 1415–1425. 32 indexed citations
18.
19.
Castellano, Brian M., Ashley Thelen, Ofer Moldavski, et al.. (2017). Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complex. Science. 355(6331). 1306–1311. 394 indexed citations breakdown →
20.
Bachovchin, Daniel A., Justin T. Mohr, Anna E Speers, et al.. (2011). Academic cross-fertilization by public screening yields a remarkable class of protein phosphatase methylesterase-1 inhibitors. Proceedings of the National Academy of Sciences. 108(17). 6811–6816. 87 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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