Noah Sciaky

7.2k citations
39 papers · 5.4k indexed · 2 hit papers · h-index 24
Topics
Protein Degradation and Inhibitors (6 papers)Receptor Mechanisms and Signaling (6 papers)Ubiquitin and proteasome pathways (5 papers)

In The Last Decade

Noah Sciaky

36 papers receiving 5.4k citations

Hit Papers

Three-dimensional segregation of supramolecular activatio...19982026200720161998201550010001.5k

Peers

Noah Sciaky
Comparison fields: 5 of 134
  • Molecular Biology 2.9k
  • Immunology 1.7k
  • Cell Biology 1.2k
  • Cellular and Molecular Neuroscience 682
  • Oncology 587
Replace Paul Herzmark with:
Paul Herzmark United States
Shuichi Yamada Japan
Ora Bernard Australia
Matilda Katan United Kingdom
Ola Söderberg Sweden
Franck Perez France
Valarie A. Barr United States
Dirk Wenzel Germany
Roland Wedlich‐Söldner Germany
Tom K. Kerppola United States
Noah Sciaky relative to Paul Herzmark United States Paul Herzmark's profile →
Citations per field
00.5×3.4×
Paul Herzmark · 1×
Citations per year

Countries citing papers authored by Noah Sciaky

Since Specialization
Citations

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

Fields of papers citing papers by Noah Sciaky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Sciaky

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Sciaky. A scholar is included among the top collaborators of Noah Sciaky 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 Noah Sciaky. Noah Sciaky 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 3
2 3
3 93
4 16
5 20
6 44
7 20
8 57
9 93
10 2
11
PRESTO-Tango as an open-source resource for interrogation of the druggable human GPCRomebreakdown →
519
12 100
13 287
14 51
15 28
16 71
17 54
18 50
19 17
20 420

About Noah Sciaky

Noah Sciaky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology, having authored 39 papers that have together received 5.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Receptor Mechanisms and Signaling (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Immunology (1.7k citations), Cell Biology (1.2k citations) and Immunology and Allergy (338 citations). Noah Sciaky has collaborated with scholars based in United States, Hungary and South Korea. Frequent co-authors include Colin R. F. Monks, Benjamin A. Freiberg, Hannah Kupfer, A Kupfer, Jennifer Lippincott‐Schwartz, Nelson B. Cole, Mark Terasaki, Carolyn L. Smith, Bryan L. Roth and Jia L. Song. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.

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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