Mónica Jiménez

9 total papers · 415 total citations
8 papers, 337 citations indexed

About

Mónica Jiménez is a scholar working on Cellular and Molecular Neuroscience, Epidemiology and Pharmacology. According to data from OpenAlex, Mónica Jiménez has authored 8 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Epidemiology and 2 papers in Pharmacology. Recurrent topics in Mónica Jiménez's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Substance Abuse Treatment and Outcomes (3 papers) and Gambling Behavior and Treatments (2 papers). Mónica Jiménez is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Substance Abuse Treatment and Outcomes (3 papers) and Gambling Behavior and Treatments (2 papers). Mónica Jiménez collaborates with scholars based in Spain, Australia and Germany. Mónica Jiménez's co-authors include Gabriel Rubio, Isabel M. Martínez, Miguel Ángel Jiménez‐Arriero, G. Ponce, Roberto Rodríguez–Jiménez, César Ávila, Tomás Palomo, Francisco Ferre, Javier Garcı́a-Campayo and Maria Teresa Peñarrubia‐María and has published in prestigious journals such as The Journal of Clinical Psychiatry, Alcoholism Clinical and Experimental Research and Patient Education and Counseling.

In The Last Decade

Mónica Jiménez

8 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Mónica Jiménez	107	105	104	100	94	8	337
Karolina Kozak	110 1.0×	73 0.7×	52 0.5×	94 0.9×	105 1.1×	14	369
Antonietta Scaffidi	67 0.6×	122 1.2×	53 0.5×	113 1.1×	79 0.8×	7	361
Darby J. E. Lowe	60 0.6×	66 0.6×	74 0.7×	108 1.1×	120 1.3×	11	398
Mervyn London	130 1.2×	166 1.6×	73 0.7×	73 0.7×	86 0.9×	15	402
Francisco Aguilar de Arcos	150 1.4×	134 1.3×	60 0.6×	98 1.0×	122 1.3×	10	401
Kimberly L. Kjome	114 1.1×	117 1.1×	49 0.5×	72 0.7×	81 0.9×	14	339
Cathryn Hufford	33 0.3×	90 0.9×	170 1.6×	78 0.8×	130 1.4×	10	375
Jennifer L. Winward	121 1.1×	112 1.1×	94 0.9×	76 0.8×	73 0.8×	6	403
Romain Debrabant	88 0.8×	33 0.3×	78 0.8×	102 1.0×	61 0.6×	13	297
Yonglan Wei	134 1.3×	92 0.9×	77 0.7×	40 0.4×	77 0.8×	12	399

Countries citing papers authored by Mónica Jiménez

Since Specialization

Citations

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

Fields of papers citing papers by Mónica Jiménez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Jiménez

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Jiménez. A scholar is included among the top collaborators of Mónica Jiménez 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 Mónica Jiménez. Mónica Jiménez 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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