MT Bertero
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
- Rheumatology 11
- Systemic Lupus Erythematosus Research 10
-
- Platelet Disorders and Treatments 3
- Co-authors
- Federico Caligaris‐Cappio (3 shared papers)Marcella Converso (2 shared papers)Luisa Brussino (2 shared papers)Caterina Bucca (2 shared papers)Giovanni Rolla (2 shared papers)Alessandra Stacchini (2 shared papers)Giovanni Pizzolo (1 shared paper)Barbara Montaruli (5 shared papers)
- Journals
- Lupus (6 papers)Dermatology (1 paper)Autoimmunity Reviews (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Lung (1 paper)
- Partner nations
- ItalyUnited KingdomIsrael
In The Last Decade
MT Bertero
14 papers receiving 519 citations
Peers
Comparison fields: 5 of 54
- Rheumatology 260
- Hematology 82
- Immunology 122
- Physiology 119
- Dermatology 36
Countries citing papers authored by MT Bertero
This map shows the geographic impact of MT Bertero'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 MT Bertero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MT Bertero more than expected).
Fields of papers citing papers by MT Bertero
This network shows the impact of papers produced by MT Bertero. 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 MT Bertero. The network helps show where MT Bertero may publish in the future.
Co-authors
The 25 scholars most cited alongside MT Bertero, 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 | 1996 | 150 | |
| 2 | 2010 | 131 | |
| 3 | Circulating levels of soluble CD30, a marker of cells producing Th2-type cytokines, are increased in patients with systemic lupus erythematosus and correlate with disease activity. | 1995 | 100 |
| 4 | 2015 | 41 | |
| 5 | 2012 | 30 | |
| 6 | 2012 | 24 | |
| 7 | 2016 | 20 | |
| 8 | 1992 | 19 | |
| 9 | 2012 | 17 | |
| 10 | 2012 | 11 | |
| 11 | G20210A homozygosity in antiphospholipid syndrome secondary to systemic lupus erythematosus. | 2000 | 9 |
| 12 | 1993 | 4 | |
| 13 | 2009 | 1 | |
| 14 | 2009 | 1 |
About MT Bertero
MT Bertero is a scholar working on Rheumatology, Hematology, Dermatology, Immunology and Allergy and Surgery, having authored 14 papers that have together received 558 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (10 papers), Platelet Disorders and Treatments (3 papers), Cell Adhesion Molecules Research (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Liver Diseases and Immunity (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper), Vasculitis and related conditions (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Rheumatology (260 citations), Hematology (82 citations), Immunology (122 citations), Physiology (119 citations) and Dermatology (36 citations). MT Bertero has collaborated with scholars based in Italy, United Kingdom and Israel. Frequent co-authors include Federico Caligaris‐Cappio, Marcella Converso, Luisa Brussino, Caterina Bucca, Giovanni Rolla, Alessandra Stacchini, Giovanni Pizzolo, Barbara Montaruli, Fabrizio Vinante and Sergio Romagnani. Their work appears in journals such as Lupus, Dermatology, Autoimmunity Reviews, JNCI Journal of the National Cancer Institute and Lung.
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.