J.A. González-Hernández

573 total citations
16 papers, 465 citations indexed

About

J.A. González-Hernández is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience. According to data from OpenAlex, J.A. González-Hernández has authored 16 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Behavioral Neuroscience. Recurrent topics in J.A. González-Hernández's work include Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (6 papers). J.A. González-Hernández is often cited by papers focused on Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (6 papers). J.A. González-Hernández collaborates with scholars based in Germany, Cuba and United States. J.A. González-Hernández's co-authors include Monika Ehrhart‐Bornstein, Werner A. Scherbaum, Stefan R. Bornstein, S. Bornstein, G. Adler, W. A. Scherbaum, E. Späth‐Schwalbe, Gustav F. Jirikowski, Jens J. Holst and SR Bornstein and has published in prestigious journals such as NeuroImage, The Journal of Clinical Endocrinology & Metabolism and Human Brain Mapping.

In The Last Decade

J.A. González-Hernández

16 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. González-Hernández Germany 10 198 128 111 75 64 16 465
M.M. Miller Canada 13 123 0.6× 101 0.8× 36 0.3× 95 1.3× 112 1.8× 27 440
Tomáš Havránek Slovakia 10 82 0.4× 77 0.6× 33 0.3× 116 1.5× 38 0.6× 31 491
D.M. Gibbs United States 10 145 0.7× 165 1.3× 18 0.2× 131 1.7× 127 2.0× 12 620
Erin K. Murphy United States 7 99 0.5× 105 0.8× 37 0.3× 90 1.2× 60 0.9× 14 445
Levente Deli Hungary 11 45 0.2× 46 0.4× 86 0.8× 133 1.8× 111 1.7× 14 597
Hardial S. Chowdrey United Kingdom 16 108 0.5× 284 2.2× 38 0.3× 109 1.5× 250 3.9× 23 689
DS Jessop United Kingdom 13 153 0.8× 234 1.8× 16 0.1× 83 1.1× 200 3.1× 21 563
Karen A. Gregerson United States 15 127 0.6× 58 0.5× 17 0.2× 161 2.1× 144 2.3× 21 577
K. Ajika Japan 9 120 0.6× 91 0.7× 56 0.5× 100 1.3× 167 2.6× 15 540
Béla Flerkó Hungary 12 156 0.8× 139 1.1× 22 0.2× 64 0.9× 111 1.7× 22 553

Countries citing papers authored by J.A. González-Hernández

Since Specialization
Citations

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

Fields of papers citing papers by J.A. González-Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. González-Hernández. 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 J.A. González-Hernández. The network helps show where J.A. González-Hernández may publish in the future.

Co-authorship network of co-authors of J.A. González-Hernández

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

All Works

16 of 16 papers shown
1.
González-Hernández, J.A., et al.. (2015). Specificity and sensitivity of visual evoked potentials in the diagnosis of schizophrenia: Rethinking VEPs. Schizophrenia Research. 166(1-3). 231–234. 4 indexed citations
2.
González-Hernández, J.A., L. Galán, E. Martínez García, et al.. (2014). Basic visual dysfunction allows classification of patients with schizophrenia with exceptional accuracy. Schizophrenia Research. 159(1). 226–233. 18 indexed citations
3.
González-Hernández, J.A., et al.. (2008). BET differences among simultaneous evoked frequency band responses during early-stage visual processing distinguish schizophrenia from healthy subjects. Neuroscience Letters. 450(1). 7–11. 2 indexed citations
4.
Haupt, Martin, J.A. González-Hernández, & Werner A. Scherbaum. (2008). Regions with different evoked frequency band responses during early-stage visual processing distinguish mild Alzheimer dementia from mild cognitive impairment and normal aging. Neuroscience Letters. 442(3). 273–278. 12 indexed citations
5.
González-Hernández, J.A. & Werner A. Scherbaum. (2006). Obesity-specific Circuits in the Human Brain: Exploration by Dynamic Brain Self-reference (dynBSR). Hormone and Metabolic Research. 38(12). 777–782. 5 indexed citations
6.
González-Hernández, J.A., et al.. (2005). A pre-task resting condition neither ‘baseline’ nor ‘zero’. Neuroscience Letters. 391(1-2). 43–47. 9 indexed citations
7.
González-Hernández, J.A., et al.. (2005). From genes to brain oscillations: Is the visual pathway the epigenetic clue to schizophrenia?. Medical Hypotheses. 66(2). 300–308. 2 indexed citations
8.
González-Hernández, J.A., et al.. (2003). Dynamic event-related potentials and rapid source analysis reveals an intermittent short-lasting dysfrontality in schizophrenia. NeuroImage. 19(4). 1655–1663. 5 indexed citations
9.
10.
González-Hernández, J.A., et al.. (2003). Induced oscillations and the distributed cortical sources during the Wisconsin card sorting test performance in schizophrenic patients: new clues to neural connectivity. International Journal of Psychophysiology. 48(1). 11–24. 27 indexed citations
11.
González-Hernández, J.A., et al.. (2002). Wisconsin card sorting test synchronizes the prefrontal, temporal and posterior association cortex in different frequency ranges and extensions. Human Brain Mapping. 17(1). 37–47. 40 indexed citations
12.
González-Hernández, J.A., Monika Ehrhart‐Bornstein, E. Späth‐Schwalbe, Werner A. Scherbaum, & Stefan R. Bornstein. (1996). Human adrenal cells express tumor necrosis factor-alpha messenger ribonucleic acid: evidence for paracrine control of adrenal function.. The Journal of Clinical Endocrinology & Metabolism. 81(2). 807–813. 50 indexed citations
13.
González-Hernández, J.A., Stefan R. Bornstein, Monika Ehrhart‐Bornstein, et al.. (1995). IL-1 is expressed in human adrenal glandin vivo.Possible role in a local immune-adrenal axis. Clinical & Experimental Immunology. 99(1). 137–141. 47 indexed citations
14.
Bornstein, Stefan R., et al.. (1995). Sympathoadrenal regulation of adrenocortical steroidogenesis. Endocrine Research. 21(1-2). 13–24. 53 indexed citations
15.
González-Hernández, J.A., SR Bornstein, Monika Ehrhart‐Bornstein, et al.. (1994). Interleukin-6 messenger ribonucleic acid expression in human adrenal gland in vivo: new clue to a paracrine or autocrine regulation of adrenal function.. The Journal of Clinical Endocrinology & Metabolism. 79(5). 1492–1497. 55 indexed citations
16.
Bornstein, S., J.A. González-Hernández, Monika Ehrhart‐Bornstein, G. Adler, & W. A. Scherbaum. (1994). Intimate contact of chromaffin and cortical cells within the human adrenal gland forms the cellular basis for important intraadrenal interactions.. The Journal of Clinical Endocrinology & Metabolism. 78(1). 225–232. 123 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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