Stewart A. Noble

3.5k citations
37 papers · 2.7k indexed · 1 hit paper · h-index 22
Topics
DNA and Nucleic Acid Chemistry (9 papers)RNA and protein synthesis mechanisms (7 papers)Neuropeptides and Animal Physiology (6 papers)

In The Last Decade

Stewart A. Noble

37 papers receiving 2.5k citations

Hit Papers

GABAB receptors function as a heteromeric assembly of the...19982026200720161998250500750

Peers

Stewart A. Noble
Comparison fields: 5 of 106
  • Molecular Biology 2.0k
  • Cellular and Molecular Neuroscience 762
  • Organic Chemistry 420
  • Physiology 137
  • Nutrition and Dietetics 131
Replace Abby L. Parrill with:
Abby L. Parrill United States
Thomas Vorherr Switzerland
Kimberli J. Kamer United States
Jean‐Luc Galzi France
Julia H. White United Kingdom
Heung‐Chin Cheng Australia
Mary Ann Gawinowicz United States
Francis S. Willard United States
Daniela C. Dieterich Germany
Henry F. Vischer Netherlands
Stewart A. Noble relative to Abby L. Parrill United States Abby L. Parrill's profile →
Citations per field
00.5×1.5×2.2×
Abby L. Parrill · 1×
Citations per year

Countries citing papers authored by Stewart A. Noble

Since Specialization
Citations

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

Fields of papers citing papers by Stewart A. Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stewart A. Noble. 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 Stewart A. Noble. The network helps show where Stewart A. Noble may publish in the future.

Co-authorship network of co-authors of Stewart A. Noble

This figure shows the co-authorship network connecting the top 25 collaborators of Stewart A. Noble. A scholar is included among the top collaborators of Stewart A. Noble 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 Stewart A. Noble. Stewart A. Noble 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 8
2 7
3 11
4 12
5 21
6 49
7 16
8 21
9 4
10 7
11 41
12 43
13 71
14
GABAB receptors function as a heteromeric assembly of the subunits GABABR1 and GABABR2breakdown →
889
15 134
16 22
17 3
18 28
19 2
20 23

About Stewart A. Noble

Stewart A. Noble is a scholar working on Geriatrics and Gerontology, Molecular Biology and Virology, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (9 papers), RNA and protein synthesis mechanisms (7 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (762 citations), Molecular Biology (2.0k citations) and Organic Chemistry (420 citations). Stewart A. Noble has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Stephen A. Thomson, C. Fred Hassman, Lee E. Babiss, John Bisi, Jeffery C. Hanvey, Daniel J. Ricca, Rodolfo Cadilla, John A. Josey, Nancy J. Peffer and Douglas A. Craig. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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