R Neri
- Rheumatology top 0.5%
- Pathology and Forensic Medicine top 2%
- Immunology top 5%
- Epidemiology top 10%
- Physiology top 10%
- Co-authors
- Stefano BombardieriMarta MoscaW. BencivelliS BombardieriClaudio VitaliAntonio TavoniMaria Elisa SciutoDavid Isenberg
- Topics
- Inflammatory Myopathies and Dermatomyositis (23 papers)Systemic Lupus Erythematosus Research (23 papers)Systemic Sclerosis and Related Diseases (13 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismKidney InternationalThe American Journal of Cardiology
- Partner nations
- ItalyCzechiaUnited States
In The Last Decade
R Neri
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Rheumatology 1.1k
- Pathology and Forensic Medicine 498
- Immunology 427
- Epidemiology 370
- Physiology 223
Countries citing papers authored by R Neri
This map shows the geographic impact of R Neri'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 R Neri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Neri more than expected).
Fields of papers citing papers by R Neri
This network shows the impact of papers produced by R Neri. 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 R Neri. The network helps show where R Neri may publish in the future.
Co-authorship network of co-authors of R Neri
This figure shows the co-authorship network connecting the top 25 collaborators of R Neri. A scholar is included among the top collaborators of R Neri 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 R Neri. R Neri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 29 | |
| 7 | Alexithymia, mood and illness perception. Preliminary results in systemic lupus erythematosus patients | 1 |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | Undifferentiated connective tissue disease: analysis of 83 patients with a minimum followup of 5 years. | 52 |
| 12 | 66 | |
| 13 | 81 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | Disease activity in systemic lupus erythematosus: report of the Consensus Study Group of the European Workshop for Rheumatology Research. II. Identification of the variables indicative of disease activity and their use in the development of an activity score | 55 |
| 17 | 31 | |
| 18 | 42 | |
| 19 | 8 | |
| 20 | 4 |
About R Neri
R Neri is a scholar working on Rheumatology, Pathology and Forensic Medicine and Dermatology, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (23 papers), Systemic Lupus Erythematosus Research (23 papers) and Systemic Sclerosis and Related Diseases (13 papers). The work is most often cited by research in Rheumatology (1.1k citations), Pathology and Forensic Medicine (498 citations) and Immunology (427 citations). R Neri has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Stefano Bombardieri, Marta Mosca, W. Bencivelli, S Bombardieri, Claudio Vitali, Antonio Tavoni, Maria Elisa Sciuto, David Isenberg, M L Snaith and J S Smolen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Kidney International and The American Journal of Cardiology.
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.