Noemí San Miguel

1.1k total citations
17 papers, 812 citations indexed

About

Noemí San Miguel is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology and Behavioral Neuroscience. According to data from OpenAlex, Noemí San Miguel has authored 17 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 4 papers in Clinical Psychology and 4 papers in Behavioral Neuroscience. Recurrent topics in Noemí San Miguel's work include Neurotransmitter Receptor Influence on Behavior (10 papers), Adenosine and Purinergic Signaling (4 papers) and Stress Responses and Cortisol (4 papers). Noemí San Miguel is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (10 papers), Adenosine and Purinergic Signaling (4 papers) and Stress Responses and Cortisol (4 papers). Noemí San Miguel collaborates with scholars based in Spain, United States and Germany. Noemí San Miguel's co-authors include John D. Salamone, Mercè Correa, Laura López‐Cruz, Samantha E. Yohn, Marta Pardo, Christa E. Müller, Younis Baqi, Olga Valverde, Catherine Ledent and Lidón Monferrer and has published in prestigious journals such as Brain, Psychopharmacology and Neuropharmacology.

In The Last Decade

Noemí San Miguel

16 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noemí San Miguel Spain	13	403	230	193	160	137	17	812
Patrick A. Randall United States	13	713 1.8×	325 1.4×	209 1.1×	173 1.1×	221 1.6×	19	1.1k
Anushka Fernando United Kingdom	14	475 1.2×	409 1.8×	148 0.8×	146 0.9×	165 1.2×	17	872
Deanna L. Wallace United States	13	403 1.0×	358 1.6×	162 0.8×	181 1.1×	196 1.4×	15	987
Brian D. Kangas United States	17	331 0.8×	256 1.1×	134 0.7×	114 0.7×	122 0.9×	68	764
Verica Milivojevic United States	16	397 1.0×	277 1.2×	255 1.3×	92 0.6×	80 0.6×	31	870
Tracie A. Paine United States	16	591 1.5×	322 1.4×	109 0.6×	120 0.8×	246 1.8×	22	851
Akiko Kurata Japan	11	169 0.4×	247 1.1×	203 1.1×	87 0.5×	92 0.7×	18	688
Lisa M. Wiedholz United States	11	506 1.3×	480 2.1×	182 0.9×	203 1.3×	269 2.0×	12	1.1k
M. Carmen Arenas Spain	16	377 0.9×	177 0.8×	200 1.0×	176 1.1×	100 0.7×	47	712
Hank P. Jedema United States	17	583 1.4×	351 1.5×	343 1.8×	214 1.3×	226 1.6×	31	1.1k

Countries citing papers authored by Noemí San Miguel

Since Specialization

Citations

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

Fields of papers citing papers by Noemí San Miguel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noemí San Miguel. 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 Noemí San Miguel. The network helps show where Noemí San Miguel may publish in the future.

Co-authorship network of co-authors of Noemí San Miguel

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

All Works

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17 of 17 papers shown

Miguel, Noemí San, et al.. (2025). Core Symptoms of Eating Disorders and Heart Rate Variability: A Systematic Review. Sci. 7(3). 89–89.

Miguel, Noemí San, et al.. (2025). The Effects of Psychobiotics and Adaptogens on the Human Stress and Anxiety Response: A Systematic Review. Applied Sciences. 15(8). 4564–4564. 2 indexed citations

Alacreu‐Crespo, Adrián, et al.. (2024). Do Decision-Making Styles Predict Vagal Control? The Role of Resting Heart Rate Variability. Behavioral Sciences. 14(5). 369–369. 2 indexed citations

López‐Cruz, Laura, et al.. (2020). Preference for Exercise vs. More Sedentary Reinforcers: Validation of an Animal Model of Tetrabenazine-Induced Anergia. Frontiers in Behavioral Neuroscience. 13. 289–289. 21 indexed citations

Miguel, Noemí San, Laura López‐Cruz, Christa E. Müller, John D. Salamone, & Mercè Correa. (2019). Caffeine modulates voluntary alcohol intake in mice depending on the access conditions: Involvement of adenosine receptors and the role of individual differences. Pharmacology Biochemistry and Behavior. 186. 172789–172789. 13 indexed citations

López‐Cruz, Laura, et al.. (2018). Dopamine depletion shifts behavior from activity based reinforcers to more sedentary ones and adenosine receptor antagonism reverses that shift: Relation to ventral striatum DARPP32 phosphorylation patterns. Neuropharmacology. 138. 349–359. 25 indexed citations

Miguel, Noemí San, et al.. (2018). Individual differences in the energizing effects of caffeine on effort-based decision-making tests in rats. Pharmacology Biochemistry and Behavior. 169. 27–34. 16 indexed citations

Correa, Mercè, et al.. (2018). Caffeine Modulates Food Intake Depending on the Context That Gives Access to Food: Comparison With Dopamine Depletion. Frontiers in Psychiatry. 9. 19 indexed citations

Salamone, John D., Samantha E. Yohn, Laura López‐Cruz, Noemí San Miguel, & Mercè Correa. (2016). Activational and effort-related aspects of motivation: neural mechanisms and implications for psychopathology. Brain. 139(5). 1325–1347. 251 indexed citations

10.

Salamone, John D., et al.. (2016). The pharmacology of effort-related choice behavior: Dopamine, depression, and individual differences. Behavioural Processes. 127. 3–17. 96 indexed citations

11.

Yohn, Samantha E., Younis Baqi, Christa E. Müller, et al.. (2016). Effort-related motivational effects of the pro-inflammatory cytokine interleukin-6: pharmacological and neurochemical characterization. Psychopharmacology. 233(19-20). 3575–3586. 70 indexed citations

12.

López‐Cruz, Laura, Noemí San Miguel, Younis Baqi, et al.. (2016). Ethanol and Caffeine Effects on Social Interaction and Recognition in Mice: Involvement of Adenosine A2A and A1 Receptors. Frontiers in Behavioral Neuroscience. 10. 206–206. 22 indexed citations

13.

Correa, Mercè, Marta Pardo, Laura López‐Cruz, et al.. (2015). Choosing voluntary exercise over sucrose consumption depends upon dopamine transmission: effects of haloperidol in wild type and adenosine A2AKO mice. Psychopharmacology. 233(3). 393–404. 54 indexed citations

14.

Salamone, John D., Marta Pardo, Samantha E. Yohn, et al.. (2015). Mesolimbic Dopamine and the Regulation of Motivated Behavior. Current topics in behavioral neurosciences. 27. 231–257. 145 indexed citations

15.

Pardo, Marta, Laura López‐Cruz, Noemí San Miguel, John D. Salamone, & Mercè Correa. (2015). Selection of sucrose concentration depends on the effort required to obtain it: studies using tetrabenazine, D1, D2, and D3 receptor antagonists. Psychopharmacology. 232(13). 2377–2391. 52 indexed citations

16.

Pardo, Marta, Adrienne J. Betz, Noemí San Miguel, et al.. (2013). Acetate as an active metabolite of ethanol: studies of locomotion, loss of righting reflex, and anxiety in rodents. Frontiers in Behavioral Neuroscience. 7. 81–81. 23 indexed citations

17.

Correa, Mercè, et al.. (2013). S.2.4 - RUNNERS VS. COUCH POTATOES. Behavioural Pharmacology. 24. e3–e4. 1 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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