L Vecchiet

67 papers receiving 2.5k citations

Peers

L Vecchiet
Comparison fields: 5 of 112
  • Physiology 1.0k
  • Complementary and Manual Therapy 69
  • Cell Biology 554
  • Rehabilitation 206
  • Psychiatry and Mental health 415
Replace Giannapia Affaitati with:
Giannapia Affaitati Italy
Bente Stallknecht Denmark
Nebojša Nick Knežević United States
Haiko Sprott Switzerland
Dinesh Kumbhare Canada
Sachia G. Khasar United States
José Manuel Castro‐Lopes Portugal
Y. Yiangou United Kingdom
Josimari Melo DeSantana Brazil
Cândido Celso Coimbra Brazil
L Vecchiet relative to Giannapia Affaitati Italy Giannapia Affaitati's profile →
Citations per field
00.5×8.6×
Giannapia Affaitati · 1×
Citations per year

Countries citing papers authored by L Vecchiet

Since Specialization
Citations

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

Fields of papers citing papers by L Vecchiet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003362
2 1997222
3 2000145
4 2001144
5
New Trends in Referred Pain and Hyperalgesia
1993126
6 1995122
7 200290
8 199076
9 198972
10 199471
11 199770
12 200168
13 200559
14 199957
15
Effects of a standardized ginseng extract combined with dimethylaminoethanol bitartrate, vitamins, minerals, and trace elements on physical performance during exercise.
199155
16 199654
17 198854
18 199153
19 199152
20 199648

About L Vecchiet

L Vecchiet is a scholar working on Physiology, Cell Biology, Pharmacology, Psychiatry and Mental health and Surgery, having authored 69 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (24 papers), Myofascial pain diagnosis and treatment (15 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (11 papers), Musculoskeletal pain and rehabilitation (11 papers), Muscle metabolism and nutrition (6 papers), Endometriosis Research and Treatment (6 papers), Exercise and Physiological Responses (6 papers) and Anesthesia and Pain Management (5 papers). The work is most often cited by research in Physiology (1.0k citations), Complementary and Manual Therapy (69 citations), Cell Biology (554 citations), Rehabilitation (206 citations) and Psychiatry and Mental health (415 citations). L Vecchiet has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maria Adele Giamberardino, Paolo de Bigontina, Giorgio Fanò, Stefania Fulle, Sabina Iezzi, Giannapia Affaitati, D Albe‐Fessard, M.A. Giamberardino, Rita Valente and Karen J. Berkley. Their work appears in journals such as Pain, Clinical Journal of Pain, International Journal of Sports Medicine, Brain Research and Journal of Muscle Research and Cell Motility.

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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