Schroeder M. Noble

634 citations
15 papers · 507 indexed · h-index 9
Topics
Peptidase Inhibition and Analysis (4 papers)Pharmacogenetics and Drug Metabolism (3 papers)Chemical Synthesis and Analysis (2 papers)

In The Last Decade

Schroeder M. Noble

13 papers receiving 495 citations

Peers

Schroeder M. Noble
Comparison fields: 5 of 76
  • Pharmacology 226
  • Molecular Biology 202
  • Genetics 164
  • Endocrinology, Diabetes and Metabolism 133
  • Oncology 107
Replace Denise G. Teotico with:
Denise G. Teotico United States
Björn Windshügel Germany
Jo J. Jones United Kingdom
J. M. Fromson United Kingdom
Caitlin Lynch United States
Genevieve Parker United States
Bixuan Jiang China
Josh T. Pearson United States
Nita Patel United States
Teresa Tam Canada
Schroeder M. Noble relative to Denise G. Teotico United States Denise G. Teotico's profile →
Citations per field
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Denise G. Teotico · 1×
Citations per year

Countries citing papers authored by Schroeder M. Noble

Since Specialization
Citations

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

Fields of papers citing papers by Schroeder M. Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Schroeder M. Noble

This figure shows the co-authorship network connecting the top 25 collaborators of Schroeder M. Noble. A scholar is included among the top collaborators of Schroeder M. 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 Schroeder M. Noble. Schroeder M. Noble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
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4 6
5 9
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8 8
9 13
10 48
11 34
12 259
13 46
14
Structural insights into the promiscuity and function of the human pregnane X receptor.
65
15 3

About Schroeder M. Noble

Schroeder M. Noble is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Pharmacology, having authored 15 papers that have together received 507 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Pharmacology (226 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Genetics (164 citations). Schroeder M. Noble has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ryan E. Watkins, Matthew R. Redinbo, Paula R. Davis-Searles, G. Bruce Wisely, Linda B. Moore, Steven A. Kliewer, Jodi M. Maglich, Nitin Jain, James H. Prestegard and Ashutosh Tripathy. Their work appears in journals such as Journal of Molecular Biology, Biochemistry and Scientific Reports.

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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