Jane M. Glick

5.3k citations
84 papers · 4.5k indexed · h-index 39

Impact in

Papers in

Jane M. Glick

84 papers receiving 4.4k citations

Peers

Jane M. Glick
Comparison fields: 5 of 120
  • Biochemistry 650
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Surgery 2.0k
  • Cancer Research 659
  • Cardiology and Cardiovascular Medicine 863
Replace C J Fielding with:
C J Fielding United States
P. Haydn Pritchard Canada
P E Fielding United States
Pieter H.E. Groot Netherlands
T.G. Redgrave Australia
Noel Fidge Australia
W. Virgil Brown United States
Shinji Yokoyama Japan
Shlomo Eisenberg Israel
Keith E. Suckling United Kingdom
Jane M. Glick relative to C J Fielding United States C J Fielding's profile →
Citations per field
00.5×4.6×
C J Fielding · 1×
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-authorship network

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
#Work
1 20251
2 200933
3 2007108
4 200642
5 200350
6 200335
7 200398
8 200240
9 200039
10 200042
11 2000148
12 199781
13 199120
14 199123
15 199013
16 199011
17 198820
18 198816
19 198822
20 198743

About Jane M. Glick

Jane M. Glick is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Surgery, having authored 84 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (26 papers), Lipid metabolism and biosynthesis (22 papers), Lipid metabolism and disorders (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Lipid Membrane Structure and Behavior (9 papers), Fatty Acid Research and Health (8 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Biochemistry (650 citations), Endocrinology, Diabetes and Metabolism (1.4k citations), Surgery (2.0k citations), Cancer Research (659 citations) and Cardiology and Cardiovascular Medicine (863 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 Biological Chemistry, Journal of Lipid Research, Journal of Clinical Investigation, Circulation and Biochemistry.

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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