David Cervi
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Multiple Myeloma Research and Treatments
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- Protein Degradation and Inhibitors 2
- Hematology 11
- Platelet Disorders and Treatments 4
- Multiple Myeloma Research and Treatments 4
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Giannoula Klement (5 shared papers)Judah Folkman (4 shared papers)Nava Almog (2 shared papers)Joseph E. Italiano (3 shared papers)Vladimir N. Podust (2 shared papers)Tai‐Tung Yip (3 shared papers)Elise R. Bender (2 shared papers)Abdo Abou-Slaybi (2 shared papers)
- Journals
- Blood (8 papers)Oncogene (2 papers)Cancer Cell (1 paper)Pediatric Blood & Cancer (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesCanadaSlovakia
In The Last Decade
David Cervi
21 papers receiving 930 citations
Peers
Comparison fields: 5 of 82
- Hematology 281
- Internal Medicine 57
- Cancer Research 226
- Oncology 377
- Molecular Biology 554
Countries citing papers authored by David Cervi
This map shows the geographic impact of David Cervi'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 David Cervi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cervi more than expected).
Fields of papers citing papers by David Cervi
This network shows the impact of papers produced by David Cervi. 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 David Cervi. The network helps show where David Cervi may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cervi, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 261 | |
| 2 | 2005 | 172 | |
| 3 | 2011 | 122 | |
| 4 | 2007 | 120 | |
| 5 | 2011 | 63 | |
| 6 | 2009 | 33 | |
| 7 | 2008 | 29 | |
| 8 | 2010 | 28 | |
| 9 | 2004 | 27 | |
| 10 | 2006 | 22 | |
| 11 | 2004 | 19 | |
| 12 | 2000 | 15 | |
| 13 | 2010 | 13 | |
| 14 | 2000 | 8 | |
| 15 | 2004 | 7 | |
| 16 | 1999 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2009 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2006 | 1 |
About David Cervi
David Cervi is a scholar working on Molecular Biology, Hematology, Oncology, Cell Biology and Immunology, having authored 21 papers that have together received 948 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Platelet Disorders and Treatments (4 papers), Multiple Myeloma Research and Treatments (4 papers), Immune Cell Function and Interaction (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (281 citations), Internal Medicine (57 citations), Cancer Research (226 citations), Oncology (377 citations) and Molecular Biology (554 citations). David Cervi has collaborated with scholars based in United States, Canada and Slovakia. Frequent co-authors include Giannoula Klement, Judah Folkman, Nava Almog, Joseph E. Italiano, Vladimir N. Podust, Tai‐Tung Yip, Elise R. Bender, Abdo Abou-Slaybi, Mark W. Kieran and Flávia Cassiola. Their work appears in journals such as Blood, Oncogene, Cancer Cell, Pediatric Blood & Cancer and Cancer Research.
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.