Georgina Cano

2.6k citations
25 papers · 2.2k · h-index 18

Impact in

Papers in

Georgina Cano

25 papers receiving 2.1k citations

Peers

Georgina Cano
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 1.1k
  • Behavioral Neuroscience 190
  • Cognitive Neuroscience 783
  • Experimental and Cognitive Psychology 461
  • Physiology 581
Replace H. Fehm with:
H. Fehm Germany
Carol A. Everson United States
Javier Velázquez‐Moctezuma Mexico
Ping Taishi United States
Ferenc Obál United States
Joel C. Geerling United States
F. Obál Hungary
Ketema N. Paul United States
Robert E. Shapiro United States
Yasuichiro Fukuda Japan
Georgina Cano relative to H. Fehm Germany H. Fehm's profile →
Citations per field
00.5×1.5×2.2×
H. Fehm · 1×
Citations per year

Countries citing papers authored by Georgina Cano

Since Specialization
Citations

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

Fields of papers citing papers by Georgina Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Georgina Cano, 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 Georgina Cano Line = papers co-authored together Georgina Cano 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 2005316
2 2003284
3 2008203
4 2011200
5 2001191
6 2009138
7 2011133
8 2004100
9 201392
10 200192
11 200281
12 201179
13 200061
14 199940
15 201737
16
Boron neutron capture therapy for murine malignant gliomas.
199235
17 199930
18 202025
19 202114
20 199712

About Georgina Cano

Georgina Cano is a scholar working on Endocrine and Autonomic Systems, Physiology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (10 papers), Adipose Tissue and Metabolism (8 papers), Neuroscience of respiration and sleep (7 papers), Sleep and Wakefulness Research (6 papers), Neuroendocrine regulation and behavior (5 papers), Stress Responses and Cortisol (5 papers), Neuropeptides and Animal Physiology (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Behavioral Neuroscience (190 citations), Cognitive Neuroscience (783 citations), Experimental and Cognitive Psychology (461 citations) and Physiology (581 citations). Georgina Cano has collaborated with scholars based in United States, Venezuela and Italy. Frequent co-authors include Clifford B. Saper, Alan F. Sved, J. Patrick Card, Shaun F. Morrison, Thomas E. Scammell, Domenico Tupone, Christopher J. Madden, Alicia M. Passerin, Takatoshi Mochizuki and Linda Rinaman. Their work appears in journals such as The Journal of Comparative Neurology, Journal of Neuroscience, Physiology & Behavior, The FASEB Journal and Neurochemical 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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