Georgina Cano

2.6k citations
24 papers · 2.0k · h-index 17

Impact in

Papers in

Georgina Cano

24 papers receiving 1.9k citations

Peers

Georgina Cano
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 1.0k
  • Behavioral Neuroscience 178
  • Cognitive Neuroscience 672
  • Experimental and Cognitive Psychology 347
  • Physiology 552
Replace H. Fehm with:
H. Fehm Germany
Carol A. Everson United States
Joel C. Geerling United States
Ketema N. Paul United States
Ping Taishi United States
Ferenc Obál United States
F. Obál Hungary
Domenico Tupone United States
Robert E. Shapiro United States
Pouya Tahsili‐Fahadan United States
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005276
2 2003272
3 2011191
4 2008186
5 2001176
6 2009135
7 2011125
8 200497
9 201391
10 200187
11 200275
12 200057
13 199937
14 201733
15 199930
16
Boron neutron capture therapy for murine malignant gliomas.
199229
17 202025
18 202113
19 199711
20 199710

About Georgina Cano

Georgina Cano is a scholar working on Endocrine and Autonomic Systems, Physiology, Cellular and Molecular Neuroscience, Social Psychology and Behavioral Neuroscience, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (9 papers), Adipose Tissue and Metabolism (8 papers), Neuroscience of respiration and sleep (7 papers), Neuroendocrine regulation and behavior (5 papers), Sleep and Wakefulness Research (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 (1.0k citations), Behavioral Neuroscience (178 citations), Cognitive Neuroscience (672 citations), Experimental and Cognitive Psychology (347 citations) and Physiology (552 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, The FASEB Journal, Current Biology and Physiology & Behavior.

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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