Anita Halpern

565 citations
9 papers · 363 indexed · h-index 5
Topics
Cholesterol and Lipid Metabolism (6 papers)Drug Transport and Resistance Mechanisms (4 papers)Peroxisome Proliferator-Activated Receptors (3 papers)

In The Last Decade

Anita Halpern

9 papers receiving 343 citations

Peers

Anita Halpern
Comparison fields: 5 of 39
  • Surgery 330
  • Molecular Biology 227
  • Oncology 213
  • Cancer Research 65
  • Endocrinology, Diabetes and Metabolism 39
Replace Tadashi Koieyama with:
Tadashi Koieyama Japan
Steve J. Demosky United States
Lise‐Lotte Vedin Sweden
Zhaosha Li Netherlands
Jianxin Yang United States
T Ishikawa Japan
Xin Bi United States
Cyril Torre France
Sonika Saddar United States
Sotaro Naoi Japan
Anita Halpern relative to Tadashi Koieyama Japan Tadashi Koieyama's profile →
Citations per field
00.5×1.5×1.9×
Tadashi Koieyama · 1×
Citations per year

Countries citing papers authored by Anita Halpern

Since Specialization
Citations

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

Fields of papers citing papers by Anita Halpern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Halpern

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 82
2
Abstract 3619: A Novel Tissue Selective LXR Ligand, WYE-672
1
3 34
4 2
5
Abstract 1453: LXR-623, a novel Liver X Receptor modulator, displays neutral lipid effects in Cholesteryl Ester Transfer Protein-expressing species and inhibits atherosclerotic lesion progression in Low Density Lipoprotein receptor knockout mice
3
6 29
7 102
8 1
9 109

About Anita Halpern

Anita Halpern is a scholar working on Cancer Research, Oncology and Biochemistry, having authored 9 papers that have together received 363 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Oncology (213 citations), Surgery (330 citations) and Biochemistry (32 citations). Anita Halpern has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Elaine Quinet, Ponnal Nambi, Dawn Savio, Liang Chen, Christopher P. Miller, Jan-Åke Gustafsson, G Schuster, Jay Wrobel, Michael Basso and Edward R. LaVallie. Their work appears in journals such as Circulation, Journal of Lipid Research and Molecular Pharmacology.

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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