Umberto Conte
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- CAR-T cell therapy research
Papers in
- Hematology 17
- Multiple Myeloma Research and Treatments 16
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- Protein Degradation and Inhibitors 7
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Liza C. Villaruz (2 shared papers)Danielle Murphy (2 shared papers)Keith D. Wilner (2 shared papers)Sai‐Hong Ignatius Ou (2 shared papers)Steven Ades (2 shared papers)Gregory A. Otterson (2 shared papers)Jared Weiss (2 shared papers)Jeffrey W. Clark (2 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Blood (5 papers)The Pediatric Infectious Disease Journal (3 papers)HemaSphere (2 papers)Annals of Oncology (2 papers)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Umberto Conte
26 papers receiving 393 citations
Peers
Comparison fields: 5 of 44
- Hematology 75
- Oncology 135
- Hepatology 37
- Infectious Diseases 84
- Pulmonary and Respiratory Medicine 138
Countries citing papers authored by Umberto Conte
This map shows the geographic impact of Umberto Conte'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 Conte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Conte more than expected).
Fields of papers citing papers by Umberto Conte
This network shows the impact of papers produced by Umberto Conte. 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 Conte. The network helps show where Umberto Conte may publish in the future.
Co-authors
The 25 scholars most cited alongside Umberto Conte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 113 | |
| 2 | 2018 | 65 | |
| 3 | 2024 | 28 | |
| 4 | 2023 | 26 | |
| 5 | 2018 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2017 | 21 | |
| 8 | 2023 | 20 | |
| 9 | 2019 | 11 | |
| 10 | 2012 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Umberto Conte
Umberto Conte is a scholar working on Hematology, Molecular Biology, Oncology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 403 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (7 papers), Antifungal resistance and susceptibility (5 papers), PARP inhibition in cancer therapy (3 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), BRCA gene mutations in cancer (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hematology (75 citations), Oncology (135 citations), Hepatology (37 citations), Infectious Diseases (84 citations) and Pulmonary and Respiratory Medicine (138 citations). Umberto Conte has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Liza C. Villaruz, Danielle Murphy, Keith D. Wilner, Sai‐Hong Ignatius Ou, Steven Ades, Gregory A. Otterson, Jared Weiss, Jeffrey W. Clark, Yiyun Tang and D. Ross Camidge. Their work appears in journals such as Journal of Clinical Oncology, Blood, The Pediatric Infectious Disease Journal, HemaSphere and Annals of Oncology.
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.