Mónica Millán

91 papers receiving 3.8k citations

Peers

Mónica Millán
Comparison fields: 5 of 121
  • Behavioral Neuroscience 614
  • Internal Medicine 488
  • Rehabilitation 581
  • Biological Psychiatry 165
  • Neurology 752
Replace Man‐Seok Park with:
Man‐Seok Park South Korea
Nyika D. Kruyt Netherlands
Jens Minnerup Germany
Tomasz Dziedzic Poland
Matthias Spranger Germany
James E. Faber United States
Martin Andrassy Germany
Tomás Segura Spain
Eric Jüttler Germany
T. Hugh Jones United Kingdom
Mónica Millán relative to Man‐Seok Park South Korea Man‐Seok Park's profile →
Citations per field
00.5×6.4×
Man‐Seok Park · 1×
Citations per year

Countries citing papers authored by Mónica Millán

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Millán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mónica Millán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mónica Millán Line = papers co-authored together Mónica Millán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008411
2 2013313
3 1988177
4 1984174
5 1991162
6 1987122
7 2008119
8 2007104
9 198799
10 198688
11 198484
12 201177
13 201275
14 200674
15 200867
16 201763
17 199062
18 200350
19 202148
20 200648

About Mónica Millán

Mónica Millán is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Molecular Biology and Surgery, having authored 93 papers that have together received 3.9k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (49 papers), Cerebrovascular and Carotid Artery Diseases (30 papers), Venous Thromboembolism Diagnosis and Management (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Stroke Rehabilitation and Recovery (8 papers), Stress Responses and Cortisol (7 papers), Receptor Mechanisms and Signaling (6 papers) and S100 Proteins and Annexins (6 papers). The work is most often cited by research in Behavioral Neuroscience (614 citations), Internal Medicine (488 citations), Rehabilitation (581 citations), Biological Psychiatry (165 citations) and Neurology (752 citations). Mónica Millán has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Antoni Dávalos, Richard L. Hauger, Kevin Catt, G. Aguilera, Natàlia Pérez de la Ossa, Greti Aguilera, Laura Dorado, Elena López‐Cancio, Juan F. Arenillas and D.M. Jacobowitz. Their work appears in journals such as Stroke, Cerebrovascular Diseases, Journal of Stroke and Cerebrovascular Diseases, European Journal of Neurology and Endocrinology.

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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