Beth Levant

3.6k citations
96 papers · 3.0k indexed · h-index 30

Beth Levant

96 papers receiving 2.9k citations

Peers

Beth Levant
Comparison fields: 5 of 127
  • Cellular and Molecular Neuroscience 1.5k
  • Biological Psychiatry 132
  • Behavioral Neuroscience 169
  • Nutrition and Dietetics 507
  • Molecular Biology 1.4k
Replace Ting‐Kai Li with:
Ting‐Kai Li United States
John M. Littleton United States
James N. Reynolds Canada
L. Charles Murrin United States
Youssef Sari United States
Gregg D. Stanwood United States
Alberto Machado Spain
Sharon C. Cheetham United Kingdom
Thomas P. Blackburn United States
Hans Nissbrandt Sweden
Beth Levant relative to Ting‐Kai Li United States Ting‐Kai Li's profile →
Citations per field
00.5×1.5×2.4×
Ting‐Kai Li · 1×
Citations per year

Countries citing papers authored by Beth Levant

Since Specialization
Citations

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

Fields of papers citing papers by Beth Levant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Beth Levant, 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 Beth Levant Line = papers co-authored together Beth Levant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 202055
3 201894
4 201420
5 201410
6 201340
7 201120
8 201129
9 20106
10 200754
11 20071
12 200643
13 200627
14 20058
15 200435
16 20047
17 200185
18 199894
19 199240
20 198910

About Beth Levant

Beth Levant is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Nutrition and Dietetics, having authored 96 papers that have together received 3.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (48 papers), Neurotransmitter Receptor Influence on Behavior (44 papers), Fatty Acid Research and Health (18 papers), Neuroscience and Neuropharmacology Research (18 papers), Neuropeptides and Animal Physiology (14 papers), Pharmacological Receptor Mechanisms and Effects (13 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Birth, Development, and Health (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Biological Psychiatry (132 citations) and Behavioral Neuroscience (169 citations). Beth Levant has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Susan E. Carlson, Marlies K. Ozias, Errol B. DeSouza, Kenneth E. McCarson, Charles B. Nemeroff, Shaomeng Wang, Jianyong Chen, Errol B. De Souza, Jennifer A. Villwock and Ann M. Manzardo. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Brain Research, Bioorganic & Medicinal Chemistry Letters, Journal of Nutrition and European Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026