Katia Rossini

2.0k citations
42 papers · 1.4k indexed · h-index 18

Impact in

    • Exercise and Physiological Responses
  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies

Papers in

Katia Rossini

40 papers receiving 1.3k citations

Peers

Katia Rossini
Comparison fields: 5 of 90
  • Rehabilitation 215
  • Neurology 143
  • Cellular and Molecular Neuroscience 302
  • Equine 19
  • Biomedical Engineering 491
Replace Donatella Biral with:
Donatella Biral Italy
Stefan Löefler Austria
Paul Salo Canada
Charles K. Jablecki United States
Simone Mosole Italy
Leopoldo Saggin Italy
Laura Barberi Italy
Raffaella Adami Italy
Flaviu C. A. Romanul United States
Jarrod A. Call United States
Katia Rossini relative to Donatella Biral Italy Donatella Biral's profile →
Citations per field
00.5×3.8×
Donatella Biral · 1×
Citations per year

Countries citing papers authored by Katia Rossini

Since Specialization
Citations

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

Fields of papers citing papers by Katia Rossini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202214
2 20071
3 20068
4 200581
5 2004174
6 200421
7 200449
8 2004139
9 20040
10 200377
11
Stage and quantify regenerative myogenesis in FES-induced functional recovery of human long-term permanent denervated muscle
200215
12 20024
13 2001119
14 200020
15 200032
16 200035
17
Molecular Markers of muscle Plasticity, damage, regeneration and repair.
19993
18 199825
19 19953
20 199590

About Katia Rossini

Katia Rossini is a scholar working on Rehabilitation, Cellular and Molecular Neuroscience, Neurology, Molecular Biology and Physiology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Muscle activation and electromyography studies (12 papers), Tissue Engineering and Regenerative Medicine (6 papers), Neuroscience and Neural Engineering (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Nerve injury and regeneration (4 papers), Exercise and Physiological Responses (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Rehabilitation (215 citations), Neurology (143 citations), Cellular and Molecular Neuroscience (302 citations), Equine (19 citations) and Biomedical Engineering (491 citations). Katia Rossini has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Ugo Carraro, Helmut Kern, Winfried Mayr, Marco Sandri, Simona Boncompagni, Feliciano Protasi, Marzenna Podhorska‐Okołów, Stanley Salmons, Christian Höfer and Maria Elena Zanin. Their work appears in journals such as Muscle & Nerve, Electrophoresis, Journal of Neuropathology & Experimental Neurology, Biochemical and Biophysical Research Communications and Artificial Organs.

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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