Laura Niccoli
- Rheumatology top 0.5%
- Rheumatoid Arthritis Research and Therapies 29
- Spondyloarthritis Studies and Treatments 23
- Systemic Lupus Erythematosus Research 11
- Musculoskeletal synovial abnormalities and treatments 8
- Genetics top 2%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 7
- Hematology top 2%
- Autoimmune and Inflammatory Disorders Research 10
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis 8
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- Vasculitis and related conditions 11
- Co-authors
- Fabrizio CantiniCarlo SalvaraniAngela PadulaIgnazio OlivieriCarlotta NanniniDelia GolettiLuigi BoiardiEmanuele Cassarà
- Cited by
- RheumatologyGeneticsHematology
- Journals
- Annals of the Rheumatic Diseases (3 papers)Fertility and Sterility (1 paper)Drugs (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Laura Niccoli
68 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 87
- Rheumatology 1.8k
- Genetics 508
- Hematology 411
- Immunology 630
- Pulmonary and Respiratory Medicine 973
Countries citing papers authored by Laura Niccoli
This map shows the geographic impact of Laura Niccoli'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 Niccoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Niccoli more than expected).
Fields of papers citing papers by Laura Niccoli
This network shows the impact of papers produced by Laura Niccoli. 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 Niccoli. The network helps show where Laura Niccoli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura Niccoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2020 | 28 | |
| 4 | 2020 | 57 | |
| 5 | The Nocebo Effect in Rheumatology: An Unexplored Issue. | 2020 | 4 |
| 6 | 2020 | 4 | |
| 7 | 2019 | 3 | |
| 8 | 2018 | 4 | |
| 9 | 2017 | 104 | |
| 10 | 2017 | 15 | |
| 11 | 2014 | 83 | |
| 12 | 2009 | 14 | |
| 13 | 2008 | 17 | |
| 14 | 2008 | 78 | |
| 15 | 2007 | 4 | |
| 16 | 2002 | 10 | |
| 17 | 2001 | 156 | |
| 18 | 2001 | 41 | |
| 19 | Corticosteroid injections in polymyalgia rheumatica: a double-blind, prospective, randomized, placebo controlled study. | 2000 | 35 |
| 20 | 1995 | 8 |
About Laura Niccoli
Laura Niccoli is a scholar working on Rheumatology, Hematology and Genetics, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (29 papers), Spondyloarthritis Studies and Treatments (23 papers), Systemic Lupus Erythematosus Research (11 papers), Vasculitis and related conditions (11 papers), Autoimmune and Inflammatory Disorders Research (10 papers), Musculoskeletal synovial abnormalities and treatments (8 papers), Psoriasis: Treatment and Pathogenesis (8 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers). The work is most often cited by research in Rheumatology (1.8k citations), Genetics (508 citations) and Hematology (411 citations). Laura Niccoli has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Fabrizio Cantini, Carlo Salvarani, Angela Padula, Ignazio Olivieri, Carlotta Nannini, Delia Goletti, Luigi Boiardi, Emanuele Cassarà, Linda Petrone and Pierluigi Macchioni. Their work appears in journals such as Annals of the Rheumatic Diseases, Fertility and Sterility and Drugs.
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.