Jane M. Glick

5.4k citations
83 papers · 4.6k · h-index 39

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 9
    • Lipid Membrane Structure and Behavior 9
    • Cholesterol and Lipid Metabolism 25

Jane M. Glick

83 papers receiving 4.4k citations

Peers

Jane M. Glick
Comparison fields: 5 of 118
  • Biochemistry 618
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Surgery 1.8k
  • Cancer Research 559
  • Cardiology and Cardiovascular Medicine 681
Replace P. Haydn Pritchard with:
P. Haydn Pritchard Canada
Pieter H.E. Groot Netherlands
P E Fielding United States
C J Fielding United States
Noel Fidge Australia
Sven‐Olof Olofsson Sweden
Virgie G. Shore United States
Shlomo Eisenberg Israel
Donald B. Zilversmit United States
Celina Edelstein United States
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Citations per field
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Citations per year

Countries citing papers authored by Jane M. Glick

Since Specialization
Citations

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

Fields of papers citing papers by Jane M. Glick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane M. Glick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane M. Glick Line = papers co-authored together Jane M. Glick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003350
2 2000285
3 2002271
4 2003176
5 2000148
6 1983143
7 1999131
8 1973114
9 2003112
10 1994111
11 2007110
12 2003105
13 2010100
14 200398
15 200496
16 200584
17 199782
18 199182
19 198681
20 198180

About Jane M. Glick

Jane M. Glick is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (25 papers), Lipid metabolism and biosynthesis (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Lipid metabolism and disorders (16 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Lipid Membrane Structure and Behavior (9 papers), Fatty Acid Research and Health (8 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Biochemistry (618 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Surgery (1.8k citations), Cancer Research (559 citations) and Cardiology and Cardiovascular Medicine (681 citations). Jane M. Glick has collaborated with scholars based in United States, Chile and Israel. Frequent co-authors include Daniel J. Rader, George H. Rothblat, Cyrille Maugeais, Weijun Jin, Dawn Marchadier, Uli C. Broedl, John S. Millar, Yuzhen Zhang, Muredach P. Reilly and Michael C. Phillips. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Journal of Clinical Investigation, Biochemistry and Circulation.

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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