Mt Fierro
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Immune Cell Function and Interaction 4
- Immunodeficiency and Autoimmune Disorders 3
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
- Genetic and Kidney Cyst Diseases 1
- Co-authors
- R. Foà (4 shared papers)PF di Celle (4 shared papers)Anna Guarini (3 shared papers)S Cardona (3 shared papers)Massimo Massaia (2 shared papers)C Attisano (2 shared papers)Andrea Bianchi (1 shared paper)Alberto Bianchi (1 shared paper)
- Journals
- Blood (7 papers)Journal of Investigative Dermatology (2 papers)Transplantation Proceedings (1 paper)Indian Journal of Dermatology (1 paper)
- Partner nations
- ItalyUnited StatesChile
In The Last Decade
Mt Fierro
11 papers receiving 416 citations
Peers
Comparison fields: 5 of 41
- Genetics 251
- Immunology 285
- Pathology and Forensic Medicine 165
- Hematology 65
- Dermatology 34
Countries citing papers authored by Mt Fierro
This map shows the geographic impact of Mt Fierro'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 Fierro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mt Fierro more than expected).
Fields of papers citing papers by Mt Fierro
This network shows the impact of papers produced by Mt Fierro. 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 Fierro. The network helps show where Mt Fierro may publish in the future.
Co-authors
The 25 scholars most cited alongside Mt Fierro, 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 | 1990 | 154 | |
| 2 | 1990 | 124 | |
| 3 | 1985 | 45 | |
| 4 | 1990 | 33 | |
| 5 | 1991 | 31 | |
| 6 | 2017 | 22 | |
| 7 | 2005 | 5 | |
| 8 | CD4+CD26- evaluation is a more useful diagnostic parameter than CD4+CD7- in Sézary syndrome (SS). | 1995 | 4 |
| 9 | Functional studies on sIL-2R release by Sezary cells | 1992 | 4 |
| 10 | 1991 | 4 | |
| 11 | 1990 | 2 |
About Mt Fierro
Mt Fierro is a scholar working on Immunology, Genetics, Pathology and Forensic Medicine, Dermatology and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 428 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Genetics (251 citations), Immunology (285 citations), Pathology and Forensic Medicine (165 citations), Hematology (65 citations) and Dermatology (34 citations). Mt Fierro has collaborated with scholars based in Italy, United States and Chile. Frequent co-authors include R. Foà, PF di Celle, Anna Guarini, S Cardona, Massimo Massaia, C Attisano, Andrea Bianchi, Alberto Bianchi, Donatella Raspadori and C Jemma. Their work appears in journals such as Blood, Journal of Investigative Dermatology, Transplantation Proceedings and Indian Journal of Dermatology.
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.