Anne M. Glazier

2.4k citations
11 papers · 1.9k indexed · 2 hit papers · h-index 8
Topics
Gene expression and cancer classification (3 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)Peroxisome Proliferator-Activated Receptors (2 papers)

In The Last Decade

Anne M. Glazier

10 papers receiving 1.8k citations

Hit Papers

Finding Genes That Underlie Complex Traits199920262008201720021999200400600

Peers

Anne M. Glazier
Comparison fields: 5 of 113
  • Molecular Biology 904
  • Genetics 610
  • Immunology 275
  • Cancer Research 237
  • Physiology 231
Replace I‐Shing Yu with:
I‐Shing Yu Taiwan
Margaret Gardiner‐Garden Australia
Cornelius F. Boerkoel United States
Holger Karas Germany
H Sakura Japan
Kerstin Quandt Germany
Gregory S. Yochum United States
María Julia Marinissen United States
Andreas Klingenhoff Germany
Anne M. Glazier relative to I‐Shing Yu Taiwan I‐Shing Yu's profile →
Citations per field
00.5×2.5×
I‐Shing Yu · 1×
Citations per year

Countries citing papers authored by Anne M. Glazier

Since Specialization
Citations

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

Fields of papers citing papers by Anne M. Glazier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne M. Glazier

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 241
2 52
3
Supplemental Material for Bayesian Modelling of Difierential Gene Expression
5
4 5
5 62
6 48
7 16
8
Finding Genes That Underlie Complex Traitsbreakdown →
635
9
Identification of Cd36 (Fat) as an insulin-resistance gene causing defective fatty acid and glucose metabolism in hypertensive ratsbreakdown →
593
10 1
11 229

About Anne M. Glazier

Anne M. Glazier is a scholar working on Genetics, Sensory Systems and Hematology, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Genetics (610 citations), Sensory Systems (99 citations) and Hematology (192 citations). Anne M. Glazier has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Timothy J. Aitman, Joseph H. Nadeau, P. J. Tutschka, George W. Santos, Evan R. Farmer, Penny J. Norsworthy, Caroline A. Wallace, Lawrence W. Stanton, Christopher J. Mann and Michal Pravenec. Their work appears in journals such as Science, Nature Genetics and The Journal of Experimental Medicine.

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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