Daniel K. Nomura

25.7k citations
165 papers · 17.5k indexed · 12 hit papers · h-index 65
Topics
Cannabis and Cannabinoid Research (30 papers)Protein Degradation and Inhibitors (28 papers)Ubiquitin and proteasome pathways (24 papers)

In The Last Decade

Daniel K. Nomura

161 papers receiving 17.3k citations

Hit Papers

The CoQ oxidoreductase FSP1 acts p...20092026201420202019201920092011201050010001.5k2.0k2.5k

Peers

Daniel K. Nomura
Comparison fields: 5 of 156
  • Molecular Biology 9.8k
  • Cancer Research 4.0k
  • Pharmacology 3.2k
  • Pulmonary and Respiratory Medicine 3.0k
  • Oncology 1.8k
Replace Ann M. Bode with:
Ann M. Bode United States
Pamela Maher United States
Pak H. Chan United States
Fulvio Ursini Italy
Larry W. Oberley United States
Young‐Myeong Kim South Korea
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Peter M. Blumberg United States
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Daniel K. Nomura relative to Ann M. Bode United States Ann M. Bode's profile →
Citations per field
00.5×5.5×
Ann M. Bode · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 0
3 3
4 7
5 10
6 2
7 34
8 2
9 62
10 9
11 6
12 114
13 91
14 13
15 228
16 294
17 32
18 12
19
Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complexbreakdown →
394
20 87

About Daniel K. Nomura

Daniel K. Nomura is a scholar working on Biochemistry, Toxicology and Pharmacology, having authored 165 papers that have together received 17.5k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (30 papers), Protein Degradation and Inhibitors (28 papers) and Ubiquitin and proteasome pathways (24 papers). The work is most often cited by research in Cancer Research (4.0k citations), Biochemistry (1.4k citations) and Pharmacology (3.2k citations). Daniel K. Nomura has collaborated with scholars based in United States, Switzerland and China. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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