M. Danilo Boada

495 citations
26 papers · 377 · h-index 13

Impact in

Papers in

M. Danilo Boada

25 papers receiving 369 citations

Peers

M. Danilo Boada
Comparison fields: 5 of 60
  • Physiology 212
  • Anesthesiology and Pain Medicine 42
  • Cellular and Molecular Neuroscience 128
  • Behavioral Neuroscience 24
  • Sensory Systems 24
Replace Geraldine Longo with:
Geraldine Longo Canada
Tabi A. Leslie United Kingdom
Chiara Betelli Italy
David M. Cain United States
Neil C. Ford United States
Thaddeus S. Brink United States
Eileen Nguyen United States
Allen C. Dickie United Kingdom
Carola Vogel Germany
Vincenzo Prato Germany
M. Danilo Boada relative to Geraldine Longo Canada Geraldine Longo's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Danilo Boada

Since Specialization
Citations

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

Fields of papers citing papers by M. Danilo Boada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Danilo Boada. 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 M. Danilo Boada. The network helps show where M. Danilo Boada may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200743
2 202040
3 201433
4 200832
5 202226
6 201224
7 201024
8 201822
9 201917
10 202016
11 201215
12 201915
13 201614
14 201510
15 20178
16 20117
17 20217
18 20187
19 20205
20 20243

About M. Danilo Boada

M. Danilo Boada is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 377 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (19 papers), Neurobiology and Insect Physiology Research (5 papers), Ion channel regulation and function (5 papers), Pediatric Pain Management Techniques (4 papers), Neuropeptides and Animal Physiology (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Neural dynamics and brain function (3 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Physiology (212 citations), Anesthesiology and Pain Medicine (42 citations), Cellular and Molecular Neuroscience (128 citations), Behavioral Neuroscience (24 citations) and Sensory Systems (24 citations). M. Danilo Boada has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include James C. Eisenach, C. Jeffery Woodbury, Silvia Ortega‐Gutiérrez, Douglas G. Ririe, Timothy T. Houle, Thomas J. Martin, W. Marie Campana, Carol A. Aschenbrenner, Ken‐ichiro Hayashida and Hui‐Lin Pan. Their work appears in journals such as Molecular Pain, Journal of Neurophysiology, Pain, Journal of Dental Research and Neuropeptides.

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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