Laura J. Sim

1.8k citations
25 papers · 1.6k · h-index 17

Impact in

Papers in

Laura J. Sim

25 papers receiving 1.6k citations

Peers

Laura J. Sim
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 1.2k
  • Pharmacology 726
  • Endocrine and Autonomic Systems 242
  • Toxicology 76
  • Behavioral Neuroscience 47
Replace Rosario de Miguel with:
Rosario de Miguel Spain
Miguel Navarro Spain
Walter Zieglgänsberger Germany
Christopher L. Hubbell United States
Frédérique Chaperon Switzerland
Miquel Martín Spain
Jean-Paul Terranova France
Valérie Compan France
Rafael Maldonado France
K Tsou China
Laura J. Sim relative to Rosario de Miguel Spain Rosario de Miguel's profile →
Citations per field
00.5×1.5×
Rosario de Miguel · 1×
Citations per year

Countries citing papers authored by Laura J. Sim

Since Specialization
Citations

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

Fields of papers citing papers by Laura J. Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura J. Sim. 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 Laura J. Sim. The network helps show where Laura J. Sim may publish in the future.

Co-authors

The 24 scholars most cited alongside Laura J. Sim, 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 Laura J. Sim Line = papers co-authored together Laura J. Sim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995411
2 1996276
3 1997172
4 1991125
5 199896
6 199696
7 199690
8 199870
9 199750
10 199242
11 199325
12 200324
13 199819
14 198919
15 199417
16 199216
17 199416
18
Effects of Chronic Treatment with D 9 -Tetrahydrocannabinol on Cannabinoid-Stimulated ( 35 S)GTPgS Autoradiography in Rat Brain
199616
19 199712
20 19978

About Laura J. Sim

Laura J. Sim is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Social Psychology and Endocrine and Autonomic Systems, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (8 papers), Cannabis and Cannabinoid Research (6 papers), Neuroendocrine regulation and behavior (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Pain Mechanisms and Treatments (4 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Pharmacology (726 citations), Endocrine and Autonomic Systems (242 citations), Toxicology (76 citations) and Behavioral Neuroscience (47 citations). Laura J. Sim has collaborated with scholars based in United States. Frequent co-authors include Steven R. Childers, Dana E. Selley, Shirley A. Joseph, Robert E. Hampson, Sam A. Deadwyler, C. S. Breivogel, Ruoyu Xiao, Qixu Liu, Elena Grigorenko and Josef T. Kittler. Their work appears in journals such as Peptides, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Pharmacology and Experimental Therapeutics, Journal of Neuroscience and Brain Research.

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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