J. Zubieta

916 citations
21 papers · 673 indexed · h-index 12
Topics
Neurotransmitter Receptor Influence on Behavior (4 papers)Pain Management and Placebo Effect (4 papers)Pain Mechanisms and Treatments (3 papers)
Partner nations
United StatesItalySpain

In The Last Decade

J. Zubieta

21 papers receiving 663 citations

Peers

J. Zubieta
Comparison fields: 5 of 73
  • Cognitive Neuroscience 262
  • Cellular and Molecular Neuroscience 210
  • Physiology 192
  • Molecular Biology 158
  • Experimental and Cognitive Psychology 117
Replace Gloria Arankowsky‐Sandoval with:
Gloria Arankowsky‐Sandoval Mexico
Roxanne Sterniczuk Canada
Marcel Bahro Switzerland
Samuel R. Krimmel United States
Panayotis K. Thanos United States
Kate Baicy United States
G. J. Wang United States
Roger L. Waite United States
Maria Ly United States
Jean‐Michel Reymann France
J. Zubieta relative to Gloria Arankowsky‐Sandoval Mexico Gloria Arankowsky‐Sandoval's profile →
Citations per field
00.5×2.7×
Gloria Arankowsky‐Sandoval · 1×
Citations per year

Countries citing papers authored by J. Zubieta

Since Specialization
Citations

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

Fields of papers citing papers by J. Zubieta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Zubieta

This figure shows the co-authorship network connecting the top 25 collaborators of J. Zubieta. A scholar is included among the top collaborators of J. Zubieta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Zubieta. J. Zubieta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 7
3 70
4 139
5 8
6 31
7 69
8 20
9 1
10 102
11 2
12 1
13 1
14 63
15 14
16 4
17 3
18 20
19 64
20 37

About J. Zubieta

J. Zubieta is a scholar working on Behavioral Neuroscience, Complementary and alternative medicine and Biological Psychiatry, having authored 21 papers that have together received 673 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (4 papers), Pain Management and Placebo Effect (4 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Cognitive Neuroscience (262 citations), Cellular and Molecular Neuroscience (210 citations) and Biological Psychiatry (27 citations). J. Zubieta has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include K.A. Frey, Christian S. Stohler, J.A. García‐Sevilla, Tiffany Love, Marta Peciña, Ilkka K. Martikainen, Chelsea M. Cummiford, Marko Pećina, Mary M. Heitzeg and Margit Burmeister. Their work appears in journals such as Journal of Neuroscience, Biological Psychiatry and Neuroscience.

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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