Jorge Abarca

891 citations
31 papers · 697 · h-index 16

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 16
    • Nerve injury and regeneration 6
    • Neurotransmitter Receptor Influence on Behavior 5
    • Parkinson's Disease Mechanisms and Treatments 7
    • Neurological disorders and treatments 4

Jorge Abarca

30 papers receiving 683 citations

Peers

Jorge Abarca
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 371
  • Hepatology 105
  • Neurology 137
  • Developmental Neuroscience 27
  • Behavioral Neuroscience 23
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Covadonga Pañeda Spain
Ajay Ravindranathan United States
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Anabela Silva‐Fernandes Portugal
Ljubisav Rakić Serbia
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Georg Wietzorrek Austria
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Citations per field
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Citations per year

Countries citing papers authored by Jorge Abarca

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Abarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007149
2 199296
3 200459
4 199546
5 199931
6 201628
7 198624
8 201723
9
Binding and endocytosis of a monoclonal antibody to a high molecular weight human milk fat globule membrane-associated antigen by cultured MCF-7 breast carcinoma cells.
198823
10 199120
11 200018
12 200918
13 198515
14 201515
15 200915
16 198515
17 200214
18 201211
19 199610
20 201210

About Jorge Abarca

Jorge Abarca is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Oncology and Biochemistry, having authored 31 papers that have together received 697 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Nerve injury and regeneration (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neurological disorders and treatments (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Receptor Mechanisms and Signaling (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (371 citations), Hepatology (105 citations), Neurology (137 citations), Developmental Neuroscience (27 citations) and Behavioral Neuroscience (23 citations). Jorge Abarca has collaborated with scholars based in Chile, Belgium and France. Frequent co-authors include Gonzalo Bustos, Katia Gysling, Robert H. Roth, Philippe A. Lysy, Nawal Jazouli, Jorge M. Campusano, Mustapha Najimi, Christine Sempoux, Étienne Sokal and Marı́a Inés Forray. Their work appears in journals such as Biochemical Pharmacology, Neurochemical Research, Molecular Carcinogenesis, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Brain Research.

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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