Anna Marduy

501 citations
23 papers · 312 · h-index 10

Impact in

Papers in

    • Transcranial Magnetic Stimulation Studies 8
    • Vagus Nerve Stimulation Research 5
    • Musculoskeletal pain and rehabilitation 4

Anna Marduy

21 papers receiving 308 citations

Peers

Anna Marduy
Comparison fields: 5 of 38
  • Neurology 182
  • Anesthesiology and Pain Medicine 25
  • Cognitive Neuroscience 64
  • Cardiology and Cardiovascular Medicine 54
  • Psychiatry and Mental health 30
Replace Paulo S. de Melo with:
Paulo S. de Melo United States
Yiting Huang United States
Paulo E. P. Teixeira United States
Nigel Gebodh United States
Shengai Li United States
Marie-Philippe Harvey Canada
Minghao Yang China
Felix Menne Germany
Enrico De Martino Denmark
Farrokh Mansouri Canada
Anna Marduy relative to Paulo S. de Melo United States Paulo S. de Melo's profile →
Citations per field
00.5×1.5×
Paulo S. de Melo · 1×
Citations per year

Countries citing papers authored by Anna Marduy

Since Specialization
Citations

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

Fields of papers citing papers by Anna Marduy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022104
2 202232
3 202130
4 202226
5 202121
6 202221
7 202211
8 202211
9 202410
10 20239
11 20217
12 20246
13 20216
14 20234
15 20243
16 20213
17 20223
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19 20231
20 20251

About Anna Marduy

Anna Marduy is a scholar working on Neurology, Pharmacology, Cardiology and Cardiovascular Medicine, Rehabilitation and Anesthesiology and Pain Medicine, having authored 23 papers that have together received 312 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (8 papers), Vagus Nerve Stimulation Research (5 papers), Pain Management and Treatment (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Stroke Rehabilitation and Recovery (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Neurology (182 citations), Anesthesiology and Pain Medicine (25 citations), Cognitive Neuroscience (64 citations), Cardiology and Cardiovascular Medicine (54 citations) and Psychiatry and Mental health (30 citations). Anna Marduy has collaborated with scholars based in United States, Brazil and Peru. Frequent co-authors include Paulo S. de Melo, Felipe Fregni, Anna Carolyna Gianlorenço, Chi Kyung Kim, Sung‐Hyuk Choi, Jae‐Jun Song, Linamara Rizzo Battistella, Marcel Simis, Kevin Pacheco‐Barrios and Marta Imamura. Their work appears in journals such as Scientific Reports, Neuromodulation Technology at the Neural Interface, Life, Biomedicines and Frontiers in Neurology.

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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