M.A. Pina

731 citations
22 papers · 518 indexed · h-index 14

Impact in

Papers in

M.A. Pina

21 papers receiving 491 citations

Peers

M.A. Pina
Comparison fields: 5 of 84
  • Small Animals 43
  • Psychiatry and Mental health 84
  • Pathology and Forensic Medicine 99
  • Radiology, Nuclear Medicine and Imaging 121
  • Physiology 117
Replace Ursula T. Slager with:
Ursula T. Slager United States
Kathy Alvarez United States
Earn H Gan United Kingdom
C. Y. Huang China
Karin Geleijns Netherlands
Karen Ribbons Australia
Christin Andersson Sweden
M. H. Finlayson Canada
M.A. Pina relative to Ursula T. Slager United States Ursula T. Slager's profile →
Citations per field
00.5×8.6×
Ursula T. Slager · 1×
Citations per year

Countries citing papers authored by M.A. Pina

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Pina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Pina. 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 M.A. Pina. The network helps show where M.A. Pina may publish in the future.

Co-authorship network

The 21 scholars most cited alongside M.A. Pina, 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 M.A. Pina Line = papers co-authored together M.A. Pina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20175
2 201025
3 200944
4 200642
5 200637
6 2005104
7 200514
8 200310
9 200338
10 200139
11 20015
12 20010
13 20005
14 200028
15 199922
16 199916
17 199916
18
Verapamil and acute dystonia.
19984
19 199831
20
[Myelitis and optic neuritis caused by varicella].
199711

About M.A. Pina

M.A. Pina is a scholar working on Small Animals, Psychiatry and Mental health, Pathology and Forensic Medicine, Epidemiology and Rheumatology, having authored 22 papers that have together received 518 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (4 papers), Advanced MRI Techniques and Applications (3 papers), Herpesvirus Infections and Treatments (3 papers), Dementia and Cognitive Impairment Research (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Epilepsy research and treatment (2 papers), Acute Ischemic Stroke Management (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Small Animals (43 citations), Psychiatry and Mental health (84 citations), Pathology and Forensic Medicine (99 citations), Radiology, Nuclear Medicine and Imaging (121 citations) and Physiology (117 citations). M.A. Pina has collaborated with scholars based in Spain, Netherlands and Mexico. Frequent co-authors include Pedro J. Modrego, Nicolás Fayed, J.R. Ara, Humberto Morales, Manuel Sarasa, Joan Josep Baiges, J L Capablo, Alicia Simón, Vı́ctor Monteón and Pilar Lasierra. Their work appears in journals such as Neurological Sciences, European Journal of Neurology, Neuroepidemiology, Child s Nervous System and Vector-Borne and Zoonotic Diseases.

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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