Margaret Shaw

2.0k citations
58 papers · 1.6k indexed · h-index 20
Topics
Pneumocystis jirovecii pneumonia detection and treatment (29 papers)Tuberculosis Research and Epidemiology (16 papers)HIV/AIDS drug development and treatment (14 papers)

In The Last Decade

Margaret Shaw

57 papers receiving 1.5k citations

Peers

Margaret Shaw
Comparison fields: 5 of 146
  • Epidemiology 528
  • Molecular Biology 475
  • Infectious Diseases 403
  • Surgery 283
  • Genetics 148
Replace Masahiro Matsumoto with:
Masahiro Matsumoto Japan
Masao Yoshida Japan
Douglas D. McGregor United States
Jeffrey R. Johnson United States
Andrea Fekete Hungary
Daniel P. Rossignol United States
Yvette McNeil Australia
Noritada Kobayashi Japan
Larry M. Gordon United States
Rolf Dahl United States
Margaret Shaw relative to Masahiro Matsumoto Japan Masahiro Matsumoto's profile →
Citations per field
00.5×4.5×
Masahiro Matsumoto · 1×
Citations per year

Countries citing papers authored by Margaret Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Shaw. A scholar is included among the top collaborators of Margaret Shaw 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 Margaret Shaw. Margaret Shaw 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 15
2 4
3 112
4 22
5
AMP-activated protein kinase (AMPK): A key mediator of hypoglycemia-sensing in the ventromedial hypothalamus (VMH)
2
6 165
7 2
8 15
9 2
10 4
11 3
12 11
13 1
14 10
15
Suppressive effect of deferoxamine on the growth of Pneumocystis carinii in vitro.
9
16 5
17 1
18 2
19 3
20 61

About Margaret Shaw

Margaret Shaw is a scholar working on Infectious Diseases, Epidemiology and Physiology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (29 papers), Tuberculosis Research and Epidemiology (16 papers) and HIV/AIDS drug development and treatment (14 papers). The work is most often cited by research in Infectious Diseases (403 citations), Endocrine and Autonomic Systems (141 citations) and Epidemiology (528 citations). Margaret Shaw has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Beat M. Riederer, Marilyn S. Bartlett, Sherry F. Queener, Robert S. Sherwin, James W. Smith, A. O. Christie, Rory J. McCrimmon, James W. Smith, Ewan C. McNay and Xiaoning Fan. Their work appears in journals such as PLoS ONE, Physical Review B and Diabetes.

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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