Fernando M. Núñez

42 total papers · 831 total citations
11 papers, 465 citations indexed

About

Fernando M. Núñez is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Fernando M. Núñez has authored 11 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Fernando M. Núñez's work include Glioma Diagnosis and Treatment (8 papers), Immune cells in cancer (3 papers) and Neuroblastoma Research and Treatments (3 papers). Fernando M. Núñez is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Immune cells in cancer (3 papers) and Neuroblastoma Research and Treatments (3 papers). Fernando M. Núñez collaborates with scholars based in United States, Germany and Argentina. Fernando M. Núñez's co-authors include Pedro R. Löwenstein, María G. Castro, David Altshuler, Santiago Haase, Padma Kadiyala, Marta Edwards, James J. Moon, Anna Schwendeman, Flor Mendez and Felipe J. Núñez and has published in prestigious journals such as ACS Nano, Clinical Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Fernando M. Núñez

10 papers receiving 462 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fernando M. Núñez	200	148	116	106	90	11	465
Karlien Kallmeyer	210 1.1×	83 0.6×	89 0.8×	69 0.7×	206 2.3×	10	548
Christoph Heyder	216 1.1×	138 0.9×	54 0.5×	130 1.2×	174 1.9×	14	465
Yanlai Lai	163 0.8×	94 0.6×	56 0.5×	76 0.7×	48 0.5×	8	456
Trupti D. Vardam	187 0.9×	58 0.4×	123 1.1×	177 1.7×	213 2.4×	10	541
Jonathan Lerner	162 0.8×	138 0.9×	60 0.5×	109 1.0×	110 1.2×	7	439
Mingming Yang	259 1.3×	62 0.4×	89 0.8×	197 1.9×	121 1.3×	15	545
Diane Duryea	272 1.4×	80 0.5×	39 0.3×	77 0.7×	105 1.2×	12	509
Natalie Landa‐Rouben	193 1.0×	82 0.6×	84 0.7×	119 1.1×	55 0.6×	12	514
David Sánchez‐Martín	282 1.4×	68 0.5×	78 0.7×	80 0.8×	200 2.2×	18	488
Hikaru Matsuda	270 1.4×	37 0.3×	38 0.3×	60 0.6×	96 1.1×	12	546

Countries citing papers authored by Fernando M. Núñez

Since Specialization

Citations

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

Fields of papers citing papers by Fernando M. Núñez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando M. Núñez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando M. Núñez. A scholar is included among the top collaborators of Fernando M. Núñez 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 Fernando M. Núñez. Fernando M. Núñez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact