Fernando Cáceres

35 papers receiving 606 citations

Peers

Fernando Cáceres
Comparison fields: 5 of 84
  • Pathology and Forensic Medicine 467
  • Sensory Systems 33
  • Developmental Neuroscience 27
  • Neurology 89
  • Neurology 40
Replace Orlando Garcea with:
Orlando Garcea Argentina
Colleen Harris Canada
Sabina Cilia Italy
Rosalind Kalb United States
Sandra Vanotti Argentina
Rosa E. Boeschoten Netherlands
Donna Czarnecki United States
Tamar Bacon United States
Lilian Pfennings Netherlands
RHB Benedict United States
Fernando Cáceres relative to Orlando Garcea Argentina Orlando Garcea's profile →
Citations per field
00.5×1.5×
Orlando Garcea · 1×
Citations per year

Countries citing papers authored by Fernando Cáceres

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Cáceres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Cáceres, 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 Fernando Cáceres Line = papers co-authored together Fernando Cáceres links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006182
2 200951
3 200848
4 201141
5 201639
6 200820
7 201319
8 201918
9 201417
10 201717
11 201815
12 201715
13 201415
14 200713
15 201313
16 201610
17 20099
18 20199
19 20217
20 20217

About Fernando Cáceres

Fernando Cáceres is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health, Public Health, Environmental and Occupational Health, Economics and Econometrics and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 620 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (19 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Dementia and Cognitive Impairment Research (4 papers), Aging, Health, and Disability (4 papers), Behavioral and Psychological Studies (2 papers), Mental Health and Psychiatry (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Nursing care and research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (467 citations), Sensory Systems (33 citations), Developmental Neuroscience (27 citations), Neurology (89 citations) and Neurology (40 citations). Fernando Cáceres has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Sandra Vanotti, Orlando Garcea, Pablo Villoslada, Jorge Sepulcre, Roberto Lagos-Hernández, Ralph H. B. Benedict, María Bárbara Eizaguirre, Audrey Smerbeck, Stephen M. Rao and Nora Fernández Liguori. Their work appears in journals such as Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, Neurology, Frontiers in Neurology and International Journal of MS Care.

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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