Per Stenkrona

1.1k citations
29 papers · 676 · h-index 18

Impact in

Papers in

Per Stenkrona

28 papers receiving 667 citations

Peers

Per Stenkrona
Comparison fields: 5 of 72
  • Biological Psychiatry 66
  • Cellular and Molecular Neuroscience 205
  • Neurology 80
  • Pharmacology 128
  • Psychiatry and Mental health 101
Replace Saurav Shrestha with:
Saurav Shrestha United States
Dustin Wooten United States
Nicole Lewandowski United States
Isabelle Miederer Germany
Patrick N. McCormick Canada
Francisco R. Lopez‐Picon Finland
David Weinzimmer United States
Cristian Salinas United Kingdom
Robert L. Gladding United States
Michael Kapinos United States
Per Stenkrona relative to Saurav Shrestha United States Saurav Shrestha's profile →
Citations per field
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Saurav Shrestha · 1×
Citations per year

Countries citing papers authored by Per Stenkrona

Since Specialization
Citations

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

Fields of papers citing papers by Per Stenkrona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201363
2 201257
3 201355
4 201143
5 202042
6 201240
7 201339
8 201434
9 201831
10 201930
11 201227
12 201722
13 201622
14 201622
15 201721
16 201621
17 201919
18 201817
19 201717
20 201513

About Per Stenkrona

Per Stenkrona is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pharmacology and Psychiatry and Mental health, having authored 29 papers that have together received 676 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Functional Brain Connectivity Studies (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Treatment of Major Depression (5 papers), Alzheimer's disease research and treatments (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Advanced MRI Techniques and Applications (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Biological Psychiatry (66 citations), Cellular and Molecular Neuroscience (205 citations), Neurology (80 citations), Pharmacology (128 citations) and Psychiatry and Mental health (101 citations). Per Stenkrona has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Christer Halldin, Lars Farde, Zsolt Cselényi, Johan Lundberg, Akihiro Takano, Andrea Varrone, Aurelija Jučaitė, Simon Červenka, Katarina Varnäs and Svante Nyberg. Their work appears in journals such as NeuroImage, EJNMMI Research, European Journal of Nuclear Medicine and Molecular Imaging, The International Journal of Neuropsychopharmacology and Alzheimer s & Dementia.

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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