Laura Cacciotti

739 citations
11 papers · 572 · h-index 7

Impact in

  • Physiology top 10%
    • Pain Mechanisms and Treatments
  • Neurology top 10%
    • Botulinum Toxin and Related Neurological Disorders
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Pain Mechanisms and Treatments 7
    • Botulinum Toxin and Related Neurological Disorders 3

Laura Cacciotti

11 papers receiving 557 citations

Peers

Laura Cacciotti
Comparison fields: 5 of 62
  • Physiology 232
  • Neurology 113
  • Cancer Research 73
  • Anesthesiology and Pain Medicine 24
  • Endocrinology, Diabetes and Metabolism 74
Replace T. Pohlmann with:
T. Pohlmann Germany
Ioanna Markaki Sweden
E. Matthew Hoffman United States
Nikita Ved United Kingdom
Marjatta Lappi Finland
Mitsuo Aono Japan
Natalie M. Wilson United States
J. Payan United Kingdom
Andrew Marky United States
Chih-Chieh Mao Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Laura Cacciotti

Since Specialization
Citations

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

Fields of papers citing papers by Laura Cacciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Laura Cacciotti, 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 Laura Cacciotti Line = papers co-authored together Laura Cacciotti links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011212
2 201475
3 201270
4 201664
5 201360
6 201052
7 200933
8
Nondipping is a novel associated disorder of painful diabetic polyneuropathy
20122
9
Sensory profiles of neuropathic pain in painful diabetic polyneuropathy
20112
10 20231
11
Original Article: Complications Neuropad as a diagnostic tool for diabetic autonomic and sensorimotor neuropathy
20091

About Laura Cacciotti

Laura Cacciotti is a scholar working on Physiology, Neurology, Pharmacology, Surgery and Molecular Biology, having authored 11 papers that have together received 572 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Pharmacology and Obesity Treatment (2 papers), Cardiovascular Syncope and Autonomic Disorders (1 paper), Pain Management and Treatment (1 paper), Ovarian function and disorders (1 paper), Nerve injury and regeneration (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Physiology (232 citations), Neurology (113 citations), Cancer Research (73 citations), Anesthesiology and Pain Medicine (24 citations) and Endocrinology, Diabetes and Metabolism (74 citations). Laura Cacciotti has collaborated with scholars based in Italy. Frequent co-authors include Roberto Morganti, Vincenza Spallone, Cinzia D’Amato, Girolama Alessandra Marfia, Carla Greco, Giuseppe Novelli, Paola Borgiani, Davide Di Fusco, Federica Sangiuolo and Cinzia Ciccacci. Their work appears in journals such as Acta Diabetologica, Diabetologia, Diabetic Medicine, European Journal of Pain and Diabetes and Vascular Disease Research.

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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