Erdita Peci

614 citations
14 papers · 157 · h-index 7

Impact in

Papers in

Erdita Peci

14 papers receiving 156 citations

Peers

Erdita Peci
Comparison fields: 5 of 36
  • Neurology 113
  • Cellular and Molecular Neuroscience 39
  • Pharmacology 19
  • Physiology 23
  • Radiology, Nuclear Medicine and Imaging 17
Replace Vaidas Matijošaitis with:
Vaidas Matijošaitis Lithuania
Gonzalo Bonilla Argentina
Artur Drużdż Poland
Thomas H. P. Draak Netherlands
Tae Mo Chung Brazil
Giuseppe Linsalata Italy
Tahir Majeed United Kingdom
Delmar S. M. Molenaar Netherlands
Madeline Uretsky United States
Keith Bourgeois United States
Erdita Peci relative to Vaidas Matijošaitis Lithuania Vaidas Matijošaitis's profile →
Citations per field
00.5×4.5×
Vaidas Matijošaitis · 1×
Citations per year

Countries citing papers authored by Erdita Peci

Since Specialization
Citations

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

Fields of papers citing papers by Erdita Peci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201455
2 201424
3 201621
4 201511
5 202410
6 20249
7 20198
8 20244
9 20174
10 20203
11
Diabetic nephropathy in pregnant women with type 1 diabetes mellitus
20123
12 20232
13 20222
14 20241

About Erdita Peci

Erdita Peci is a scholar working on Neurology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Pharmacology and Surgery, having authored 14 papers that have together received 157 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (9 papers), Peripheral Nerve Disorders (4 papers), Hereditary Neurological Disorders (4 papers), Cannabis and Cannabinoid Research (2 papers), Myasthenia Gravis and Thymoma (2 papers), Gestational Diabetes Research and Management (1 paper), Restless Legs Syndrome Research (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Neurology (113 citations), Cellular and Molecular Neuroscience (39 citations), Pharmacology (19 citations), Physiology (23 citations) and Radiology, Nuclear Medicine and Imaging (17 citations). Erdita Peci has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Aristide Merola, Dario Cocito, Leonardo Lopiano, Alberto Romagnolo, Michela Rosso, Dario Cocito, P. Ciaramitaro, Raffaella Fazio, Giovanni Antonini and Eduardo Nobile‐Orazio. Their work appears in journals such as Journal of Clinical Medicine, Journal of the Peripheral Nervous System, Clinical Neurology and Neurosurgery, Journal of Neurology Neurosurgery & Psychiatry and Brain.

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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