Giulia Fadda

1.5k total citations · 1 hit paper
33 papers, 784 citations indexed

About

Giulia Fadda is a scholar working on Pathology and Forensic Medicine, Neurology and Oncology. According to data from OpenAlex, Giulia Fadda has authored 33 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pathology and Forensic Medicine, 16 papers in Neurology and 5 papers in Oncology. Recurrent topics in Giulia Fadda's work include Multiple Sclerosis Research Studies (21 papers), Peripheral Neuropathies and Disorders (11 papers) and Systemic Lupus Erythematosus Research (4 papers). Giulia Fadda is often cited by papers focused on Multiple Sclerosis Research Studies (21 papers), Peripheral Neuropathies and Disorders (11 papers) and Systemic Lupus Erythematosus Research (4 papers). Giulia Fadda collaborates with scholars based in Canada, United States and United Kingdom. Giulia Fadda's co-authors include Brenda Banwell, Amit Bar‐Or, E. Ann Yeh, Douglas L. Arnold, Julia O’Mahony, Robert A. Brown, Ruth Ann Marrie, Elia Sechi, Laura Cacciaguerra and Patrick Waters and has published in prestigious journals such as NeuroImage, Neurology and Annals of Neurology.

In The Last Decade

Giulia Fadda

29 papers receiving 770 citations

Hit Papers

Myelin Oligodendrocyte Glycoprotein Antibody-Associated D... 2022 2026 2023 2024 2022 40 80 120

Peers

Giulia Fadda
Comparison fields: 5 of 67
  • Pathology and Forensic Medicine 547
  • Neurology 449
  • Rheumatology 160
  • Oncology 101
  • Molecular Biology 96
Replace Élisabeth Maillart with:
Élisabeth Maillart France
Amy Kunchok United States
Jiraporn Jitprapaikulsan Thailand
Leslie Benson United States
Giovanni Bosco Zimatore Italy
Yuichi Kawata Japan
Alicja Kalinowska Poland
Metha Apiwattanakul Thailand
Adrian Budhram Canada
N. А. Totolyan Russia
Élisabeth Maillart France View profile →
Citations per field, relative to Giulia Fadda
Giulia Fadda · 1×
Citations per year, relative to Giulia Fadda
Giulia Fadda · 1×

Countries citing papers authored by Giulia Fadda

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Fadda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Fadda

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Fadda. A scholar is included among the top collaborators of Giulia Fadda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giulia Fadda. Giulia Fadda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 1
5 1
6 1
7 7
8 2
9 6
10 9
11 36
12 15
13 32
14 12
15 59
16 34
17 8
18 5
19 37
20
Serum and synovial fluid concentrations of alpha2 macroglobulin and alpha2 neuroamino-glycoprotein in rheumatoid arthritis.
1

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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