Daniel J. Calvo

1.5k citations
30 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Daniel J. Calvo

30 papers receiving 1.2k citations

Peers

Daniel J. Calvo
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 506
  • Complementary and alternative medicine 226
  • Behavioral Neuroscience 55
  • Biological Psychiatry 34
  • Endocrine and Autonomic Systems 67
Replace Ricardo dos Reis Silveira with:
Ricardo dos Reis Silveira Brazil
E K Perry United Kingdom
Manh Hung Tran Vietnam
Alessandra T. Peana Italy
Vahid Sheibani Iran
María Jesús Oset‐Gasque Spain
Marina Perfumi Italy
Abdolrahman Sarihi Iran
Sa‐Ik Hong South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Calvo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Calvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Calvo. 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 Daniel J. Calvo. The network helps show where Daniel J. Calvo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201950
3 201766
4 201622
5 201515
6 20145
7 200816
8 200719
9 200789
10 200679
11 200510
12 200443
13 200017
14 199876
15 1997184
16 199530
17 199439
18 19921
19 1990162
20 19908

About Daniel J. Calvo

Daniel J. Calvo is a scholar working on Cellular and Molecular Neuroscience, Complementary and alternative medicine, Neurology, Behavioral Neuroscience and Spectroscopy, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Nicotinic Acetylcholine Receptors Study (9 papers), Biochemical effects in animals (4 papers), Receptor Mechanisms and Signaling (4 papers), Memory and Neural Mechanisms (3 papers), Synthesis and pharmacology of benzodiazepine derivatives (2 papers), Photoreceptor and optogenetics research (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (506 citations), Complementary and alternative medicine (226 citations), Behavioral Neuroscience (55 citations), Biological Psychiatry (34 citations) and Endocrine and Autonomic Systems (67 citations). Daniel J. Calvo has collaborated with scholars based in Argentina, France and Spain. Frequent co-authors include Jorge H. Medina, Claudia Wolfman, Juan D. Goutman, Alejandro C. Paladini, Mariel Marder, Cristina Wasowski, Haydée Viola, Ricardo Miledi, Bernard Delpech and Robert Lett. Their work appears in journals such as European Journal of Pharmacology, Tetrahedron Letters, British Journal of Pharmacology, Journal of Neurochemistry 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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