Cinara Echart

429 citations
13 papers · 357 · h-index 7

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

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Blood Coagulation and Thrombosis Mechanisms 3
    • Platelet Disorders and Treatments 2
    • Acute Myeloid Leukemia Research 1

Cinara Echart

13 papers receiving 350 citations

Peers

Cinara Echart
Comparison fields: 5 of 60
  • Neurology 76
  • Hematology 94
  • Immunology 73
  • Genetics 32
  • Developmental Neuroscience 9
Replace Thomas A. Leyen with:
Thomas A. Leyen Netherlands
Ljiljana Luković Serbia
Jialing Wu China
Alessandra Pasini Italy
Adam J. Wieschhaus United States
Darius Häusler Germany
V. Argentiero Italy
Ronald S. Perez Germany
Hrishikesh K. Srinagesh United States
Tong Cheng China
Cinara Echart relative to Thomas A. Leyen Netherlands Thomas A. Leyen's profile →
Citations per field
00.5×2.9×
Thomas A. Leyen · 1×
Citations per year

Countries citing papers authored by Cinara Echart

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cinara Echart Line = papers co-authored together Cinara Echart links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200495
2 200584
3 200946
4 200845
5 200934
6 200432
7 20119
8 20065
9 20073
10 20071
11 20071
12 20091
13 20071

About Cinara Echart

Cinara Echart is a scholar working on Hematology, Molecular Biology, Oncology, Cell Biology and Genetics, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Cancer Treatment and Pharmacology (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Protease and Inhibitor Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Platelet Disorders and Treatments (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Neurology (76 citations), Hematology (94 citations), Immunology (73 citations), Genetics (32 citations) and Developmental Neuroscience (9 citations). Cinara Echart has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Maria Grazia De Simoni, Luigi Bergamaschini, Massimo Iacobelli, Claudio Storini, Paul G. Richardson, Emanuela Rossi, Maria Distaso, Luigi Fratta, Roberta Poulet and Angelo Maffei. Their work appears in journals such as Blood, Clinical Cancer Research, American Journal Of Pathology, Proceedings of the National Academy of Sciences and Journal of Clinical 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.

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