Cinara Echart
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Blood Coagulation and Thrombosis Mechanisms
Papers in ⓘ
- Hematology 10
- Multiple Myeloma Research and Treatments 6
- Blood Coagulation and Thrombosis Mechanisms 3
- Platelet Disorders and Treatments 2
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- Connexins and lens biology 1
- Co-authors
- Maria Grazia De Simoni (3 shared papers)Claudio Storini (1 shared paper)Emanuela Rossi (1 shared paper)Massimo Iacobelli (10 shared papers)Luigi Bergamaschini (1 shared paper)Paul G. Richardson (9 shared papers)Maria Distaso (4 shared papers)Giovanni Russo (1 shared paper)
- Journals
- Blood (6 papers)Clinical Cancer Research (1 paper)Blood Coagulation & Fibrinolysis (1 paper)Journal of Clinical Oncology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Cinara Echart
13 papers receiving 341 citations
Peers
Comparison fields: 5 of 60
- Neurology 89
- Hematology 100
- Immunology 73
- Genetics 33
- Neurology 34
Countries citing papers authored by Cinara Echart
This map shows the geographic impact of Cinara Echart'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 Cinara Echart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cinara Echart more than expected).
Fields of papers citing papers by Cinara Echart
This network shows the impact of papers produced by Cinara Echart. 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 Cinara Echart. The network helps show where Cinara Echart may publish in the future.
Co-authors
The 25 scholars most cited alongside Cinara Echart, 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 | 2004 | 94 | |
| 2 | 2005 | 80 | |
| 3 | 2009 | 46 | |
| 4 | 2008 | 41 | |
| 5 | 2009 | 34 | |
| 6 | 2004 | 30 | |
| 7 | 2011 | 9 | |
| 8 | 2006 | 5 | |
| 9 | 2007 | 3 | |
| 10 | 2007 | 1 | |
| 11 | 2007 | 1 | |
| 12 | 2007 | 1 | |
| 13 | 2009 | 1 |
About Cinara Echart
Cinara Echart is a scholar working on Hematology, Molecular Biology, Cell Biology, Oncology and Genetics, having authored 13 papers that have together received 346 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Proteoglycans and glycosaminoglycans research (4 papers), Cancer Treatment and Pharmacology (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Platelet Disorders and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Connexins and lens biology (1 paper). The work is most often cited by research in Neurology (89 citations), Hematology (100 citations), Immunology (73 citations), Genetics (33 citations) and Neurology (34 citations). Cinara Echart has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Maria Grazia De Simoni, Claudio Storini, Emanuela Rossi, Massimo Iacobelli, Luigi Bergamaschini, Paul G. Richardson, Maria Distaso, Giovanni Russo, Carmine Vecchione and Angelo Maffei. Their work appears in journals such as Blood, Clinical Cancer Research, Blood Coagulation & Fibrinolysis, Journal of Clinical Oncology and American Journal Of Pathology.
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.