Segundo J. Guzman

18 total papers · 1.3k total citations
13 papers, 781 citations indexed

About

Segundo J. Guzman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Segundo J. Guzman has authored 13 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Segundo J. Guzman's work include Neuroscience and Neuropharmacology Research (9 papers), Neural dynamics and brain function (6 papers) and Adenosine and Purinergic Signaling (4 papers). Segundo J. Guzman is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Neural dynamics and brain function (6 papers) and Adenosine and Purinergic Signaling (4 papers). Segundo J. Guzman collaborates with scholars based in Austria, Germany and United Kingdom. Segundo J. Guzman's co-authors include Péter Jónás, Alois Schlögl, Sooyun Kim, Zoltán Gerevich, Michael Frotscher, Christoph Schmidt‐Hieber, Xiaomin Zhang, Hua Hu, Péter Illés and Ute Krügel and has published in prestigious journals such as Science, Nature Communications and Nature Neuroscience.

In The Last Decade

Segundo J. Guzman

13 papers receiving 773 citations

Author Peers

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

Author						Papers	Cites
Segundo J. Guzman	535	452	134	119	112	13	781
Wiebke Nissen	502 0.9×	341 0.8×	195 1.5×	28 0.2×	91 0.8×	14	663
Marta Pazzagli	481 0.9×	228 0.5×	328 2.4×	225 1.9×	77 0.7×	19	871
Laure Fronzaroli‐Molinières	445 0.8×	281 0.6×	218 1.6×	22 0.2×	36 0.3×	15	646
Sónia Guerra‐Gomes	433 0.8×	156 0.3×	200 1.5×	94 0.8×	342 3.1×	16	776
Vincent Paillé	623 1.2×	252 0.6×	162 1.2×	14 0.1×	91 0.8×	25	901
Philipp Bethge	294 0.5×	106 0.2×	242 1.8×	83 0.7×	116 1.0×	16	667
Maurizio De Pittà	585 1.1×	414 0.9×	211 1.6×	12 0.1×	266 2.4×	23	821
Matthias G. Haberl	224 0.4×	190 0.4×	187 1.4×	84 0.7×	109 1.0×	14	629
Yaël Perez	546 1.0×	309 0.7×	284 2.1×	17 0.1×	87 0.8×	9	799
Andrzej Bialowas	478 0.9×	291 0.6×	216 1.6×	15 0.1×	55 0.5×	8	692

Countries citing papers authored by Segundo J. Guzman

Since Specialization

Citations

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

Fields of papers citing papers by Segundo J. Guzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Segundo J. Guzman

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

All Works

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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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