Daniel Nunes

778 total citations
8 papers, 418 citations indexed

About

Daniel Nunes is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Daniel Nunes has authored 8 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Sensory Systems. Recurrent topics in Daniel Nunes's work include Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Olfactory and Sensory Function Studies (3 papers). Daniel Nunes is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Olfactory and Sensory Function Studies (3 papers). Daniel Nunes collaborates with scholars based in Portugal, United Kingdom and Germany. Daniel Nunes's co-authors include Noam Shemesh, Thomas Kuner, Andrada Ianuș, Daniel C. Alexander, Michele Guerreri, Hui Zhang, Marco Palombo, Els Fieremans, Umesh Rudrapatna and Derek K. Jones and has published in prestigious journals such as Nature Communications, NeuroImage and PLoS Biology.

In The Last Decade

Daniel Nunes

8 papers receiving 418 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Nunes Portugal	7	303	93	66	65	48	8	418
Ezequiel Farrher Germany	13	396 1.3×	105 1.1×	4 0.1×	44 0.7×	64 1.3×	34	544
Carsten Stüber Germany	5	635 2.1×	394 4.2×	6 0.1×	53 0.8×	21 0.4×	6	932
Rebecca Glarin Australia	11	141 0.5×	96 1.0×	10 0.2×	34 0.5×	5 0.1×	25	303
Kerrin Pine Germany	11	321 1.1×	146 1.6×	2 0.0×	24 0.4×	14 0.3×	33	435
Eva Syková Czechia	10	226 0.7×	86 0.9×	6 0.1×	315 4.8×	14 0.3×	10	618
Greg D. Parker United Kingdom	16	374 1.2×	212 2.3×	3 0.0×	63 1.0×	43 0.9×	24	581
Zang‐Hee Cho South Korea	13	326 1.1×	118 1.3×	4 0.1×	45 0.7×	3 0.1×	24	512
Indika S. Walimuni United States	9	253 0.8×	93 1.0×	3 0.0×	25 0.4×	9 0.2×	11	374
Simone C. Bosshard Switzerland	7	148 0.5×	253 2.7×	5 0.1×	88 1.4×	5 0.1×	7	442
Moisés Hernández-Fernández United Kingdom	6	335 1.1×	282 3.0×	5 0.1×	23 0.4×	17 0.4×	8	441

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-authorship network of co-authors of Daniel Nunes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nunes. A scholar is included among the top collaborators of Daniel Nunes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Nunes. Daniel Nunes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Almeida, Joana, et al.. (2021). Impact of the Sound of Magnetic Resonance Imaging Pulse Sequences in Awake Mice. Journal of Applied Animal Welfare Science. 25(1). 75–88. 4 indexed citations

2.

Veraart, Jelle, Daniel Nunes, Umesh Rudrapatna, et al.. (2020). Noninvasive quantification of axon radii using diffusion MRI. eLife. 9. 107 indexed citations

3.

Palombo, Marco, Andrada Ianuș, Michele Guerreri, et al.. (2020). SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage. 215. 116835–116835. 171 indexed citations

4.

Vincis, Roberto, Daniel Nunes, Hartwig Spors, et al.. (2019). Similarity and Strength of Glomerular Odor Representations Define a Neural Metric of Sniff-Invariant Discrimination Time. Cell Reports. 28(11). 2966–2978.e5. 17 indexed citations

5.

Nunes, Daniel & Thomas Kuner. (2018). Axonal sodium channel NaV1.2 drives granule cell dendritic GABA release and rapid odor discrimination. PLoS Biology. 16(8). e2003816–e2003816. 22 indexed citations

6.

Nunes, Daniel, Andrada Ianuș, & Noam Shemesh. (2018). Layer-specific connectivity revealed by diffusion-weighted functional MRI in the rat thalamocortical pathway. NeuroImage. 184. 646–657. 23 indexed citations

7.

Nunes, Daniel, Tomás Cruz, Sune Nørhøj Jespersen, & Noam Shemesh. (2017). Mapping axonal density and average diameter using non-monotonic time-dependent gradient-echo MRI. Journal of Magnetic Resonance. 277. 117–130. 22 indexed citations

8.

Nunes, Daniel & Thomas Kuner. (2015). Disinhibition of olfactory bulb granule cells accelerates odour discrimination in mice. Nature Communications. 6(1). 8950–8950. 52 indexed citations

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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