Gabriela Bravo

509 citations
24 papers · 346 indexed · h-index 7

Gabriela Bravo

22 papers receiving 344 citations

Peers

Gabriela Bravo
Comparison fields: 5 of 74
  • Neurology 178
  • Anesthesiology and Pain Medicine 30
  • Neurology 76
  • Behavioral Neuroscience 17
  • Rehabilitation 28
Replace Rebecca L.D. Kan with:
Rebecca L.D. Kan Hong Kong
Vincenzo Todisco Italy
Talyta Grippe Canada
Charles Timäus Germany
Raimondo della Volpe Italy
B. McNamara Ireland
Livia Livinț Popa Romania
Vanesa Soto-León Spain
Huaping Chen China
Miklós Lukács Hungary
Gabriela Bravo relative to Rebecca L.D. Kan Hong Kong Rebecca L.D. Kan's profile →
Citations per field
00.5×8.8×
Rebecca L.D. Kan · 1×
Citations per year

Countries citing papers authored by Gabriela Bravo

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20212
5 20211
6 20211
7 20206
8 20203
9 20192
10 20191
11 20191
12 20196
13 201812
14 201724
15 20172
16 201535
17 20146
18 2014151
19 201313
20 201331

About Gabriela Bravo

Gabriela Bravo is a scholar working on Neurology, Anesthesiology and Pain Medicine, Toxicology, Behavioral Neuroscience and Oncology, having authored 24 papers that have together received 346 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (4 papers), Lung Cancer Treatments and Mutations (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Muscle activation and electromyography studies (2 papers), Pain Management and Treatment (2 papers), Cardiac Arrest and Resuscitation (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Neurology (178 citations), Anesthesiology and Pain Medicine (30 citations), Neurology (76 citations), Behavioral Neuroscience (17 citations) and Rehabilitation (28 citations). Gabriela Bravo has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Felipe Fregni, Deniz Doruk, Zachary Gray, Álvaro Pascual‐Leone, Sharmin Maswood, Mauricio F. Villamar, Colleen M. Ryan, Jeffrey C Schneider, Juan Cristóbal Zagal and Merlin G. Butler. Their work appears in journals such as Journal of Thoracic Oncology, Biology of Blood and Marrow Transplantation, JAMA, Journal of Hand Therapy and Pharmacology Biochemistry and 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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