Daniel Herrera-Guzmán

464 total citations
7 papers, 364 citations indexed

About

Daniel Herrera-Guzmán is a scholar working on Pharmacology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Daniel Herrera-Guzmán has authored 7 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 5 papers in Experimental and Cognitive Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Daniel Herrera-Guzmán's work include Treatment of Major Depression (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers) and Functional Brain Connectivity Studies (3 papers). Daniel Herrera-Guzmán is often cited by papers focused on Treatment of Major Depression (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers) and Functional Brain Connectivity Studies (3 papers). Daniel Herrera-Guzmán collaborates with scholars based in Mexico and Spain. Daniel Herrera-Guzmán's co-authors include Jorge E. Herrera‐Abarca, Ixchel Herrera‐Guzmán, Esteve Gudayol‐Ferré, Joan Guàrdia‐Olmos, Maribel Peró and Ferran Padrós Blázquez and has published in prestigious journals such as Journal of Affective Disorders, Psychiatry Research and Journal of Psychiatric Research.

In The Last Decade

Daniel Herrera-Guzmán

5 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Herrera-Guzmán Mexico	5	234	172	145	105	64	7	364
Ixchel Herrera‐Guzmán Mexico	9	282 1.2×	233 1.4×	182 1.3×	145 1.4×	76 1.2×	14	500
B Hasselbalch Denmark	3	182 0.8×	189 1.1×	171 1.2×	161 1.5×	77 1.2×	5	447
Ulrich Rabl Austria	8	159 0.7×	181 1.1×	141 1.0×	103 1.0×	109 1.7×	18	414
A. P. P. van Willigenburg Netherlands	6	246 1.1×	128 0.7×	213 1.5×	160 1.5×	48 0.8×	6	531
Elizabeth E. Slonena United States	9	144 0.6×	99 0.6×	119 0.8×	66 0.6×	118 1.8×	11	338
Angelo Sambunaris United States	10	324 1.4×	77 0.4×	140 1.0×	200 1.9×	81 1.3×	15	436
David R. Latov United States	5	203 0.9×	142 0.8×	62 0.4×	64 0.6×	165 2.6×	6	448
Nagendra M. Singh India	9	123 0.5×	112 0.7×	79 0.5×	115 1.1×	79 1.2×	11	370
Maja Bajs Croatia	6	157 0.7×	119 0.7×	160 1.1×	128 1.2×	82 1.3×	6	452
L. Timmerman Netherlands	10	378 1.6×	66 0.4×	142 1.0×	303 2.9×	97 1.5×	26	565

Countries citing papers authored by Daniel Herrera-Guzmán

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Herrera-Guzmán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Herrera-Guzmán

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

All Works

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7 of 7 papers shown

Herrera‐Guzmán, Ixchel, et al.. (2010). Effects of selective serotonin reuptake and dual serotonergic–noradrenergic reuptake treatments on attention and executive functions in patients with major depressive disorder. Psychiatry Research. 177(3). 323–329. 94 indexed citations

Guàrdia‐Olmos, Joan, et al.. (2010). Estimación de la prevalencia puntual de alteraciones neuropsicológicas asociadas al trastorno depresivo mayor. Escritos de Psicología / Psychological Writings. 3(4). 21–32.

Gudayol‐Ferré, Esteve, Joan Guàrdia‐Olmos, Ixchel Herrera‐Guzmán, et al.. (2010). Estimación de la prevalencia puntual de alteraciones neuropsicológicas asociadas al trastorno depresivo mayor. Escritos de Psicología / Psychological Writings. 3(4). 21–32.

Herrera‐Guzmán, Ixchel, Esteve Gudayol‐Ferré, Jorge E. Herrera‐Abarca, et al.. (2009). Major Depressive Disorder in recovery and neuropsychological functioning: Effects of selective serotonin reuptake inhibitor and dual inhibitor depression treatments on residual cognitive deficits in patients with Major Depressive Disorder in recovery. Journal of Affective Disorders. 123(1-3). 341–350. 75 indexed citations

Herrera‐Guzmán, Ixchel, et al.. (2009). Effects of selective serotonin reuptake and dual serotonergic–noradrenergic reuptake treatments on memory and mental processing speed in patients with major depressive disorder. Journal of Psychiatric Research. 43(9). 855–863. 128 indexed citations

Herrera‐Guzmán, Ixchel, Esteve Gudayol‐Ferré, Jorge E. Herrera‐Abarca, et al.. (2009). Comorbidity of anxiety disorders in major depressive disorder: A clinical trial to evaluate neuropsychological deficit. The European Journal of Psychiatry. 23(1). 7 indexed citations

Herrera‐Guzmán, Ixchel, et al.. (2008). Cognitive predictors of treatment response to bupropion and cognitive effects of bupropion in patients with major depressive disorder. Psychiatry Research. 160(1). 72–82. 60 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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