Veronica M. Sciotti

10 papers receiving 460 citations

Peers

Veronica M. Sciotti
Comparison fields: 5 of 72
  • Complementary and Manual Therapy 60
  • Physiology 82
  • Cell Biology 207
  • Pharmacology 153
  • Complementary and alternative medicine 51
Replace Philip M. Lang with:
Philip M. Lang Germany
Arianna De Lalla Italy
Akiko Okada‐Ogawa Japan
Ryan Cady United States
Danilov Ab Russia
T Stratz Germany
Francisco José Cidral‐Filho Brazil
Richard H. Gracely United States
Katerina Zorina-Lichtenwalter United States
Veronica M. Sciotti relative to Philip M. Lang Germany Philip M. Lang's profile →
Citations per field
00.5×10×16.4×
Philip M. Lang · 1×
Citations per year

Countries citing papers authored by Veronica M. Sciotti

Since Specialization
Citations

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

Fields of papers citing papers by Veronica M. Sciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica M. Sciotti. 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 Veronica M. Sciotti. The network helps show where Veronica M. Sciotti may publish in the future.

Co-authors

The 16 scholars most cited alongside Veronica M. Sciotti, 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 Veronica M. Sciotti Line = papers co-authored together Veronica M. Sciotti links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2001187
2 199257
3 200553
4 199349
5 199841
6 199329
7 200228
8 199324
9 199214
10 198714

About Veronica M. Sciotti

Veronica M. Sciotti is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 10 papers that have together received 496 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), Adenosine and Purinergic Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Musculoskeletal pain and rehabilitation (1 paper), Myofascial pain diagnosis and treatment (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Occupational Health and Performance (1 paper). The work is most often cited by research in Complementary and Manual Therapy (60 citations), Physiology (82 citations), Cell Biology (207 citations), Pharmacology (153 citations) and Complementary and alternative medicine (51 citations). Veronica M. Sciotti has collaborated with scholars based in United States. Frequent co-authors include David G. L. Van Wylen, Kevin Ball, J. K. Wigglesworth, Margaret C. Grabb, Carlton A. Evans, Robert C. Hickner, Kerry L. McIver, Raymond M. Kraus, Jeffrey M. Gidday and Steven A. Cohen. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Pain, Microbial Pathogenesis, Hypertension and Journal of Manipulative and Physiological Therapeutics.

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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