Monica Todoerti
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies 20
- Systemic Lupus Erythematosus Research 13
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research 5
-
- Chronic Lymphocytic Leukemia Research 3
-
- Hepatitis C virus research 4
-
- Peripheral Neuropathies and Disorders 3
-
- Hepatitis B Virus Studies 3
-
- Health Systems, Economic Evaluations, Quality of Life 2
- Co-authors
- Roberto CaporaliCarlomaurizio MontecuccoCarlo Alberto ScirèVeronica CodulloOscar Massimiliano EpisSara MontiV. GrossoGarifallia Sakellariou
- Cited by
- RheumatologyHematologyGenetics
- Journals
- Lara D. Veeken (5 papers)Annals of the Rheumatic Diseases (4 papers)Arthritis Research & Therapy (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Monica Todoerti
26 papers receiving 787 citations
Peers
Comparison fields: 5 of 84
- Rheumatology 561
- Hematology 199
- Genetics 69
- Hepatology 50
- Immunology 115
Countries citing papers authored by Monica Todoerti
This map shows the geographic impact of Monica Todoerti'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 Monica Todoerti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Todoerti more than expected).
Fields of papers citing papers by Monica Todoerti
This network shows the impact of papers produced by Monica Todoerti. 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 Monica Todoerti. The network helps show where Monica Todoerti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Monica Todoerti, 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 | 2020 | 4 | |
| 2 | 2018 | 2 | |
| 3 | 2018 | 100 | |
| 4 | One year in review 2017: novelties in the treatment of rheumatoid arthritis. | 2017 | 43 |
| 5 | 2016 | 45 | |
| 6 | 2016 | 69 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 2 | |
| 9 | 2014 | 9 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 16 | |
| 13 | 2013 | 12 | |
| 14 | The role of low-dose glucocorticoids for rheumatoid arthritis in the biologic era. | 2013 | 12 |
| 15 | 2012 | 54 | |
| 16 | 2012 | 45 | |
| 17 | 2012 | 2 | |
| 18 | 2011 | 32 | |
| 19 | 2010 | 30 | |
| 20 | 2009 | 242 |
About Monica Todoerti
Monica Todoerti is a scholar working on Rheumatology, Hepatology and Hematology, having authored 26 papers that have together received 805 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (20 papers), Systemic Lupus Erythematosus Research (13 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Hepatitis C virus research (4 papers), Peripheral Neuropathies and Disorders (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Hepatitis B Virus Studies (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Rheumatology (561 citations), Hematology (199 citations) and Genetics (69 citations). Monica Todoerti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Roberto Caporali, Carlomaurizio Montecucco, Carlo Alberto Scirè, Veronica Codullo, Oscar Massimiliano Epis, Sara Monti, V. Grosso, Garifallia Sakellariou, Gerolamo Bianchi and Serena Bugatti. Their work appears in journals such as Lara D. Veeken, Annals of the Rheumatic Diseases, Arthritis Research & Therapy, Modern Rheumatology and Autoimmunity Reviews.
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.