Beata Planeta

1.4k citations
26 papers · 761 · h-index 15

Impact in

Papers in

Beata Planeta

25 papers receiving 757 citations

Peers

Beata Planeta
Comparison fields: 5 of 68
  • Biological Psychiatry 73
  • Pharmacology 244
  • Cellular and Molecular Neuroscience 259
  • Cognitive Neuroscience 174
  • Behavioral Neuroscience 26
Replace Michael Kapinos with:
Michael Kapinos United States
Douglas Hussey Canada
Jeff Meyer Canada
Andri C. Tziortzi United Kingdom
Rosemond A. Villafuerte United States
Salvador Sierra United States
Laurent Galineau France
Frank Rösch Germany
Yiyun Huang United States
David Weinzimmer United States
Beata Planeta relative to Michael Kapinos United States Michael Kapinos's profile →
Citations per field
00.5×2.7×
Michael Kapinos · 1×
Citations per year

Countries citing papers authored by Beata Planeta

Since Specialization
Citations

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

Fields of papers citing papers by Beata Planeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015146
2 201580
3 201573
4 201769
5 201349
6 201641
7 201339
8 201838
9 201637
10 201534
11 201433
12 202220
13 201420
14 201918
15 201317
16 201913
17 202010
18 20187
19 20226
20 20183

About Beata Planeta

Beata Planeta is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Cognitive Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 761 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Medical Imaging Techniques and Applications (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Functional Brain Connectivity Studies (4 papers), Colorectal Cancer Screening and Detection (3 papers), Cannabis and Cannabinoid Research (3 papers), Treatment of Major Depression (3 papers) and Gastric Cancer Management and Outcomes (2 papers). The work is most often cited by research in Biological Psychiatry (73 citations), Pharmacology (244 citations), Cellular and Molecular Neuroscience (259 citations), Cognitive Neuroscience (174 citations) and Behavioral Neuroscience (26 citations). Beata Planeta has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Richard E. Carson, Yiyun Huang, Jim Ropchan, Alexander Neumeister, Jean‐Dominique Gallezot, Nabeel Nabulsi, Deepak Cyril D’Souza, Brian Pittman, David Labaree and Shu-fei Lin. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Cerebral Blood Flow & Metabolism, Journal of Nuclear Medicine, Biological Psychiatry Cognitive Neuroscience and Neuroimaging and Gastroenterology.

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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