Ann Gianas

1.1k citations
8 papers · 877 · h-index 7

Impact in

  • Neurology top 5%
    • Botulinum Toxin and Related Neurological Disorders
    • Parkinson's Disease Mechanisms and Treatments
  • Physiology top 5%
    • Pain Mechanisms and Treatments

Papers in

Ann Gianas

8 papers receiving 846 citations

Peers

Ann Gianas
Comparison fields: 5 of 86
  • Neurology 293
  • Physiology 495
  • Anesthesiology and Pain Medicine 91
  • Pharmacology 201
  • Pathology and Forensic Medicine 178
Replace Jan Schadrack with:
Jan Schadrack Germany
Kristina B. Svendsen Denmark
Alberto Martinez‐Arizala United States
Walter Krause Neto Brazil
Rodolfo M. Antonello Italy
Michael Teepker Germany
Henriette Klit Denmark
Richard H. Gracely United States
Mahnaz Asgharnejad United States
Svetlana Pundik United States
Ann Gianas relative to Jan Schadrack Germany Jan Schadrack's profile →
Citations per field
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Jan Schadrack · 1×
Citations per year

Countries citing papers authored by Ann Gianas

Since Specialization
Citations

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

Fields of papers citing papers by Ann Gianas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ann Gianas, 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 Ann Gianas Line = papers co-authored together Ann Gianas links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2000480
2 2001172
3 2012106
4 201354
5 201425
6 201521
7 201416
8 20113

About Ann Gianas

Ann Gianas is a scholar working on Physiology, Pharmacology, Pathology and Forensic Medicine, Cognitive Neuroscience and Neurology, having authored 8 papers that have together received 877 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Musculoskeletal pain and rehabilitation (3 papers), Spinal Cord Injury Research (2 papers), Pain Management and Placebo Effect (2 papers), Muscle activation and electromyography studies (2 papers), Mindfulness and Compassion Interventions (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Neurology (293 citations), Physiology (495 citations), Anesthesiology and Pain Medicine (91 citations), Pharmacology (201 citations) and Pathology and Forensic Medicine (178 citations). Ann Gianas has collaborated with scholars based in United States. Frequent co-authors include Bradley S. Galer, George H. Kraft, Laura E. Gibbons, James D. Bowen, Leslie Sherlin, Mark P. Jensen, Shahin Hakimian, Kevin J. Gertz, Felipe Fregni and Robert L. Askew. Their work appears in journals such as Pain Medicine, Clinical Journal of Pain, Clinical Neurophysiology, Journal of Pain and Multiple Sclerosis Journal.

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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