Umberto Gianelli
- Genetics top 0.5%
- Hematology top 1%
- Molecular Biology
- Rheumatology top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Alessandra IurloSilvano BòsariDaniele CattaneoGiorgio La NasaClaudia VenerAgostino CortelezziGiovanni BarosiAlessia Moro
- Topics
- Myeloproliferative Neoplasms: Diagnosis and Treatment (55 papers)Acute Myeloid Leukemia Research (37 papers)Eosinophilic Disorders and Syndromes (33 papers)
- Cited by
- GeneticsHematologyRheumatology
- Journals
- The Journal of Experimental MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Umberto Gianelli
120 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 96
- Genetics 1.1k
- Hematology 840
- Molecular Biology 641
- Rheumatology 466
- Pathology and Forensic Medicine 460
Countries citing papers authored by Umberto Gianelli
This map shows the geographic impact of Umberto Gianelli'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 Umberto Gianelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Gianelli more than expected).
Fields of papers citing papers by Umberto Gianelli
This network shows the impact of papers produced by Umberto Gianelli. 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 Umberto Gianelli. The network helps show where Umberto Gianelli may publish in the future.
Co-authorship network of co-authors of Umberto Gianelli
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Gianelli. A scholar is included among the top collaborators of Umberto Gianelli 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 Umberto Gianelli. Umberto Gianelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 45 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 43 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 61 | |
| 18 | Low dose campath 1-H is highly effective and safe in advanced chronic CLL | 1 |
| 19 | 3 | |
| 20 | 3 |
About Umberto Gianelli
Umberto Gianelli is a scholar working on Genetics, Hematology and Rheumatology, having authored 130 papers that have together received 2.3k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (55 papers), Acute Myeloid Leukemia Research (37 papers) and Eosinophilic Disorders and Syndromes (33 papers). The work is most often cited by research in Genetics (1.1k citations), Hematology (840 citations) and Rheumatology (466 citations). Umberto Gianelli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alessandra Iurlo, Silvano Bòsari, Daniele Cattaneo, Giorgio La Nasa, Claudia Vener, Agostino Cortelezzi, Giovanni Barosi, Alessia Moro, Attilio Orazi and Federica Savi. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.