Antonio De Vivo
- Hematology top 0.5%
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 1%
- Pathology and Forensic Medicine top 2%
- Co-authors
- S TuraMichele BaccaraniNicoletta TestoniAlfredo MancusoMichèle CavoElena ZamagniPatrizia TosiGiovanni Martinelli
- Topics
- Chronic Lymphocytic Leukemia Research (20 papers)Chronic Myeloid Leukemia Treatments (19 papers)Lymphoma Diagnosis and Treatment (16 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalySpainSwitzerland
In The Last Decade
Antonio De Vivo
88 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 110
- Hematology 1.9k
- Molecular Biology 942
- Oncology 930
- Genetics 867
- Pathology and Forensic Medicine 771
Countries citing papers authored by Antonio De Vivo
This map shows the geographic impact of Antonio De Vivo'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 Antonio De Vivo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio De Vivo more than expected).
Fields of papers citing papers by Antonio De Vivo
This network shows the impact of papers produced by Antonio De Vivo. 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 Antonio De Vivo. The network helps show where Antonio De Vivo may publish in the future.
Co-authorship network of co-authors of Antonio De Vivo
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio De Vivo. A scholar is included among the top collaborators of Antonio De Vivo 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 Antonio De Vivo. Antonio De Vivo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Recent explorations in the St. Paul karst (Palawan, Philippines) | 0 |
| 2 | 15 | |
| 3 | 13 | |
| 4 | 12 | |
| 5 | 8 | |
| 6 | 58 | |
| 7 | 24 | |
| 8 | 124 | |
| 9 | 258 | |
| 10 | First-line therapy with thalidomide and dexamethasone in preparation for autologous stem cell transplantation for multiple myeloma. | 146 |
| 11 | 80 | |
| 12 | 56 | |
| 13 | Real-time quantification of different types of bcr-abl transcript in chronic myeloid leukemia. | 36 |
| 14 | 20 | |
| 15 | 14 | |
| 16 | 97 | |
| 17 | 19 | |
| 18 | 4 | |
| 19 | 50 | |
| 20 | 13 |
About Antonio De Vivo
Antonio De Vivo is a scholar working on Hematology, Genetics and Obstetrics and Gynecology, having authored 90 papers that have together received 3.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (20 papers), Chronic Myeloid Leukemia Treatments (19 papers) and Lymphoma Diagnosis and Treatment (16 papers). The work is most often cited by research in Hematology (1.9k citations), Genetics (867 citations) and Obstetrics and Gynecology (527 citations). Antonio De Vivo has collaborated with scholars based in Italy, Spain and Switzerland. Frequent co-authors include S Tura, Michele Baccarani, Nicoletta Testoni, Alfredo Mancuso, Michèle Cavo, Elena Zamagni, Patrizia Tosi, Giovanni Martinelli, Marilina Amabile and Claudia Cellini. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.