Eva Minga
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 18
- Chronic Lymphocytic Leukemia Research 18
- Immunology 10
- Immunodeficiency and Autoimmune Disorders 9
- Co-authors
- Paolo Ghia (1 shared paper)Thomas Chatzikonstantinou (1 shared paper)Anastasia Chatzidimitriou (1 shared paper)Κώστας Σταματόπουλος (2 shared papers)Carol Moreno (1 shared paper)Anastasia Hadzidimitriou (1 shared paper)Nicos Maglaveras (1 shared paper)Aliki Xochelli (1 shared paper)
In The Last Decade
Eva Minga
19 papers receiving 568 citations
Peers
Comparison fields: 5 of 33
- Genetics 528
- Pathology and Forensic Medicine 371
- Immunology 299
- Hematology 45
- Gastroenterology 14
Countries citing papers authored by Eva Minga
This map shows the geographic impact of Eva Minga'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 Eva Minga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Minga more than expected).
Fields of papers citing papers by Eva Minga
This network shows the impact of papers produced by Eva Minga. 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 Eva Minga. The network helps show where Eva Minga may publish in the future.
Co-authors
The 13 scholars most cited alongside Eva Minga, 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 | 2014 | 245 | |
| 2 | 2014 | 98 | |
| 3 | 2015 | 69 | |
| 4 | 2018 | 39 | |
| 5 | 2016 | 36 | |
| 6 | 2017 | 30 | |
| 7 | 2017 | 21 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 14 | |
| 10 | 2014 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2016 | 1 | |
| 13 | 2013 | 1 | |
| 14 | CLL: Different ages, dfferent antigen receptor profiles | 2013 | 1 |
| 15 | 2025 | 1 | |
| 16 | REFINING PROGNOSIS OF CHRONIC LYMPHOCYTIC LEUKEMIA WITH SOMATICALLY HYPERMUTATED B-CELL RECEPTORS : A NOVEL PROGNOSTIC INDEX ON BEHALF OF THE EUROPEAN RESEARCH INITIATIVE ON CLL (ERIC) | 2015 | 1 |
| 17 | HIGHER-ORDER IMMUNOGLOBULIN SEQUENCE RELATIONS FOR MAJOR SUBSETS OF CHRONIC LYMPHOCYTIC LEUKEMIA : UNIQUENESS VERSUS EQUIVALENCE | 2015 | 1 |
| 18 | 2016 | 1 | |
| 19 | 2024 | 1 |
About Eva Minga
Eva Minga is a scholar working on Genetics, Immunology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Gastroenterology, having authored 19 papers that have together received 584 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Lymphoma Diagnosis and Treatment (4 papers), Advanced Breast Cancer Therapies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Genetics (528 citations), Pathology and Forensic Medicine (371 citations), Immunology (299 citations), Hematology (45 citations) and Gastroenterology (14 citations). Eva Minga has collaborated with scholars based in Greece, Sweden and Italy. Frequent co-authors include Paolo Ghia, Thomas Chatzikonstantinou, Anastasia Chatzidimitriou, Κώστας Σταματόπουλος, Carol Moreno, Anastasia Hadzidimitriou, Nicos Maglaveras, Aliki Xochelli, Αchilles Anagnostopoulos and Panagiotis Baliakas. Their work appears in journals such as Blood, Haematologica, HemaSphere, Leukemia and American Journal of Hematology.
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.