Julia C. Lemos

3.3k citations
27 papers · 2.5k · h-index 17

Impact in

Papers in

Julia C. Lemos

25 papers receiving 2.4k citations

Peers

Julia C. Lemos
Comparison fields: 5 of 94
  • Behavioral Neuroscience 522
  • Cellular and Molecular Neuroscience 1.8k
  • Biological Psychiatry 165
  • Endocrine and Autonomic Systems 137
  • Cognitive Neuroscience 375
Replace Katia Gysling with:
Katia Gysling Chile
Edward G. Meloni United States
Ryan K. Bachtell United States
Allyson K. Friedman United States
Marc Turiault France
Zhi‐Bing You United States
Laura A. Schrader United States
Benjamin B. Land United States
Christopher Ford United States
Cassandra D. Gipson United States
Julia C. Lemos relative to Katia Gysling Chile Katia Gysling's profile →
Citations per field
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Katia Gysling · 1×
Citations per year

Countries citing papers authored by Julia C. Lemos

Since Specialization
Citations

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

Fields of papers citing papers by Julia C. Lemos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia C. Lemos. 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 Julia C. Lemos. The network helps show where Julia C. Lemos may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008475
2 2006427
3 2012223
4 2011215
5 2011188
6 2009163
7 2016127
8 2016100
9 201293
10 200893
11 202157
12 200651
13 201247
14 201038
15 201937
16 202031
17 201630
18 201215
19 201113
20 20229

About Julia C. Lemos

Julia C. Lemos is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience, Social Psychology and Physiology, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Receptor Mechanisms and Signaling (11 papers), Stress Responses and Cortisol (11 papers), Neuropeptides and Animal Physiology (6 papers), Neuroendocrine regulation and behavior (6 papers), Pain Mechanisms and Treatments (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Behavioral Neuroscience (522 citations), Cellular and Molecular Neuroscience (1.8k citations), Biological Psychiatry (165 citations), Endocrine and Autonomic Systems (137 citations) and Cognitive Neuroscience (375 citations). Julia C. Lemos has collaborated with scholars based in United States, Argentina and Japan. Frequent co-authors include Charles Chavkin, Michael R. Bruchas, Benjamin B. Land, Erica J. Melief, Mei Xu, Veronica A. Alvarez, Sheryl G. Beck, Zsolt Horváth, Vann Bennett and Steven S. Scherer. Their work appears in journals such as Journal of Neuroscience, Neuron, European Journal of Neuroscience, Neuropsychopharmacology and Biological Psychiatry.

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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