Alfonso Escobar

38 papers receiving 822 citations

Peers

Alfonso Escobar
Comparison fields: 5 of 83
  • Biological Psychiatry 49
  • Pathology and Forensic Medicine 347
  • Behavioral Neuroscience 69
  • Parasitology 121
  • Developmental Neuroscience 56
Replace Sang Hyung Lee with:
Sang Hyung Lee South Korea
Rick Dersch Germany
Ömer Kitiş Türkiye
Shekeeb S. Mohammad Australia
Ignacio Madrazo Mexico
Frederico Azevedo Costa‐Pinto Brazil
Mirjana Dimitrijević Serbia
Ingo W. Husstedt Germany
Peter Riskind United States
Caterina Nascimbene Italy
Alfonso Escobar relative to Sang Hyung Lee South Korea Sang Hyung Lee's profile →
Citations per field
00.5×6.8×
Sang Hyung Lee · 1×
Citations per year

Countries citing papers authored by Alfonso Escobar

Since Specialization
Citations

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

Fields of papers citing papers by Alfonso Escobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alfonso Escobar, 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 Alfonso Escobar Line = papers co-authored together Alfonso Escobar 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 1998210
2 2002104
3 199486
4 200973
5 201071
6 200243
7 196836
8 200635
9 200035
10 198927
11 196024
12 199019
13 201213
14 200812
15 201210
16 20117
17 19797
18 19557
19 20116
20 19656

About Alfonso Escobar

Alfonso Escobar is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Infectious Diseases, Surgery and Molecular Biology, having authored 38 papers that have together received 865 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Parasitic infections in humans and animals (4 papers), Parasite Biology and Host Interactions (3 papers), Bacterial Infections and Vaccines (3 papers), Neonatal and fetal brain pathology (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Dental Health and Care Utilization (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (49 citations), Pathology and Forensic Medicine (347 citations), Behavioral Neuroscience (69 citations), Parasitology (121 citations) and Developmental Neuroscience (56 citations). Alfonso Escobar has collaborated with scholars based in Mexico, United States and Colombia. Frequent co-authors include Arturo Carpio, W. Allen Hauser, Beatriz Gómez‐González, M. Placencia, Gabriela Moralı́, Miguel Cervantes, Aleph A. Corona‐Morales, Limei Zhang, Agnès Fleury and Gladis Fragoso. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, International Journal of Developmental Neuroscience, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

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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