Denis Pavăl

459 total citations
11 papers, 303 citations indexed

About

Denis Pavăl is a scholar working on Cognitive Neuroscience, Genetics and Neurology. According to data from OpenAlex, Denis Pavăl has authored 11 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Genetics and 4 papers in Neurology. Recurrent topics in Denis Pavăl's work include Genetics and Neurodevelopmental Disorders (5 papers), Autism Spectrum Disorder Research (5 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Denis Pavăl is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Autism Spectrum Disorder Research (5 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Denis Pavăl collaborates with scholars based in Romania and Spain. Denis Pavăl's co-authors include I. Micluția, Eleonora Dronca, Iuliana Dobrescu, B. Nemeş, Horațiu Alexandru Colosi, Florina Rad, Adina Stan, Laura Damian, Olga Orășan and Adela Sitar-Tăut and has published in prestigious journals such as Frontiers in Psychiatry, International review of neurobiology and Developmental Neuroscience.

In The Last Decade

Denis Pavăl

9 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Denis Pavăl Romania	6	185	110	72	64	55	11	303
Luigi Balasco Italy	8	242 1.3×	116 1.1×	95 1.3×	74 1.2×	61 1.1×	14	395
Genoveva Uzunova United States	8	162 0.9×	101 0.9×	82 1.1×	54 0.8×	87 1.6×	10	307
Vesna Bryn Norway	8	150 0.8×	117 1.1×	84 1.2×	68 1.1×	51 0.9×	8	291
Hana Seung South Korea	10	221 1.2×	166 1.5×	119 1.7×	43 0.7×	89 1.6×	13	402
Athina Ververi Greece	11	188 1.0×	153 1.4×	136 1.9×	65 1.0×	53 1.0×	33	447
Irma Vlasac United States	6	154 0.8×	93 0.8×	70 1.0×	47 0.7×	48 0.9×	11	558
Sarah Banker United States	10	170 0.9×	70 0.6×	49 0.7×	44 0.7×	30 0.5×	16	321
Hsiao‐Ying Kuo Taiwan	10	129 0.7×	104 0.9×	118 1.6×	23 0.4×	68 1.2×	14	304
Céline Degrez France	6	189 1.0×	151 1.4×	80 1.1×	82 1.3×	106 1.9×	8	324
Travis M. Kerr United States	6	216 1.2×	123 1.1×	109 1.5×	70 1.1×	103 1.9×	6	413

Countries citing papers authored by Denis Pavăl

Since Specialization

Citations

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

Fields of papers citing papers by Denis Pavăl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Pavăl. 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 Denis Pavăl. The network helps show where Denis Pavăl may publish in the future.

Co-authorship network of co-authors of Denis Pavăl

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

All Works

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11 of 11 papers shown

Pavăl, Denis, et al.. (2025). Neurocardiology Update: The Brain–Heart Connection in Multiple Sclerosis—A Narrative Review. Health Science Reports. 8(3). e70607–e70607.

Pavăl, Denis, et al.. (2024). Neural Antibodies in First-episode Psychosis Patients with Warning Signs for Autoimmune Encephalitis. Clinical Psychopharmacology and Neuroscience. 22(3). 520–530. 3 indexed citations

Pavăl, Denis, et al.. (2024). OUTLINING THE ABSENCE: FROM INFLAMMATION TO A DISTINCT ENDOPHENOTYPE FOR THE NEGATIVE SYMPTOMS OF SCHIZOPHRENIA. Psychiatria Danubina. 36(2). 161–173. 2 indexed citations

Pavăl, Denis, et al.. (2023). The Importance of Cerebrospinal Fluid Investigation in First-episodePsychosis. The Yale Journal of Biology and Medicine. 96(1). 125–126. 5 indexed citations

Pavăl, Denis. (2023). The dopamine hypothesis of autism spectrum disorder: A comprehensive analysis of the evidence. International review of neurobiology. 173. 1–42. 11 indexed citations

Pavăl, Denis, et al.. (2022). Case Report: Anti-N-Methyl-D-Aspartate Receptor Encephalitis Manifesting With an Isolated Psychiatric Episode and Normal Ancillary Tests. Frontiers in Psychiatry. 13. 905088–905088.

Pavăl, Denis & I. Micluția. (2021). The Dopamine Hypothesis of Autism Spectrum Disorder Revisited: Current Status and Future Prospects. Developmental Neuroscience. 43(2). 73–83. 49 indexed citations

Pavăl, Denis, et al.. (2018). Genotype-phenotype Analysis of Paraoxonase 1 in Schizophrenic Patients Treated with Atypical Antipsychotics. Clinical Psychopharmacology and Neuroscience. 16(1). 32–38. 7 indexed citations

Pavăl, Denis. (2017). A Dopamine Hypothesis of Autism Spectrum Disorder. Developmental Neuroscience. 39(5). 355–360. 204 indexed citations

10.

Pavăl, Denis, et al.. (2017). Low Retinal Dehydrogenase 1 (RALDH1) Level in Prepubertal Boys with Autism Spectrum Disorder: A Possible Link to Dopamine Dysfunction?. Clinical Psychopharmacology and Neuroscience. 15(3). 229–236. 17 indexed citations

11.

Pavăl, Denis, et al.. (2016). From molecules to behavior: An integrative theory of autism spectrum disorder. Medical Hypotheses. 97. 74–84. 5 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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