Daniel Nunes

778 citations
8 papers · 418 · h-index 7

Impact in

Papers in

Daniel Nunes

8 papers receiving 418 citations

Peers

Daniel Nunes
Comparison fields: 5 of 63
  • Sensory Systems 66
  • Radiology, Nuclear Medicine and Imaging 303
  • Orthopedics and Sports Medicine 48
  • Computational Mathematics 3
  • Cognitive Neuroscience 93
Replace Carsten Stüber with:
Carsten Stüber Germany
Ezequiel Farrher Germany
Greg D. Parker United Kingdom
Moisés Hernández-Fernández United Kingdom
Eva Syková Czechia
Rebecca Glarin Australia
Thomas Close Australia
Indika S. Walimuni United States
Simone C. Bosshard Switzerland
Adriane Gröger Germany
Daniel Nunes relative to Carsten Stüber Germany Carsten Stüber's profile →
Citations per field
00.5×11×
Carsten Stüber · 1×
Citations per year

Countries citing papers authored by Daniel Nunes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nunes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Nunes, 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 Nunes Line = papers co-authored together Daniel Nunes links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2020171
2 2020107
3 201552
4 201823
5 201722
6 201822
7 201917
8 20214

About Daniel Nunes

Daniel Nunes is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Sensory Systems, Cognitive Neuroscience and Nutrition and Dietetics, having authored 8 papers that have together received 418 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Olfactory and Sensory Function Studies (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Functional Brain Connectivity Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Sensory Systems (66 citations), Radiology, Nuclear Medicine and Imaging (303 citations), Orthopedics and Sports Medicine (48 citations), Computational Mathematics (3 citations) and Cognitive Neuroscience (93 citations). Daniel Nunes has collaborated with scholars based in Portugal, United Kingdom and Germany. Frequent co-authors include Noam Shemesh, Thomas Kuner, Andrada Ianuș, Marco Palombo, Michele Guerreri, Daniel C. Alexander, Hui Zhang, Els Fieremans, Derek K. Jones and Jelle Veraart. Their work appears in journals such as NeuroImage, Journal of Applied Animal Welfare Science, eLife, Journal of Magnetic Resonance and PLoS Biology.

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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