Eva Giné
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 79
- Genetics 51
- Chronic Lymphocytic Leukemia Research 49
- Co-authors
- Elı́as Campo (58 shared papers)Neus Villamor (42 shared papers)Francesc Bosch (28 shared papers)Emili Montserrat (23 shared papers)Armando López‐Guillermo (47 shared papers)Dolors Colomer (21 shared papers)Jordi Esteve (10 shared papers)Ana Muntañola (13 shared papers)
- Journals
- Blood (24 papers)Clinical Cancer Research (8 papers)Haematologica (7 papers)Hematological Oncology (5 papers)Annals of Oncology (5 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Eva Giné
105 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 82
- Genetics 1.3k
- Pathology and Forensic Medicine 1.8k
- Oncology 1.2k
- Hematology 422
- Immunology 566
Countries citing papers authored by Eva Giné
This map shows the geographic impact of Eva Giné'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 Giné with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Giné more than expected).
Fields of papers citing papers by Eva Giné
This network shows the impact of papers produced by Eva Giné. 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 Giné. The network helps show where Eva Giné may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Giné, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 257 | |
| 2 | 2005 | 207 | |
| 3 | 2002 | 142 | |
| 4 | 2010 | 128 | |
| 5 | 2013 | 120 | |
| 6 | 2009 | 112 | |
| 7 | 2006 | 96 | |
| 8 | 2006 | 96 | |
| 9 | 2003 | 95 | |
| 10 | 2008 | 91 | |
| 11 | 2013 | 83 | |
| 12 | 2010 | 78 | |
| 13 | 2018 | 73 | |
| 14 | 2014 | 72 | |
| 15 | 2005 | 66 | |
| 16 | 2007 | 58 | |
| 17 | 1998 | 55 | |
| 18 | 2013 | 54 | |
| 19 | 2016 | 50 | |
| 20 | 2018 | 46 |
About Eva Giné
Eva Giné is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Immunology and Molecular Biology, having authored 109 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (79 papers), Chronic Lymphocytic Leukemia Research (49 papers), Viral-associated cancers and disorders (22 papers), CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Cutaneous lymphoproliferative disorders research (6 papers) and Ovarian cancer diagnosis and treatment (5 papers). The work is most often cited by research in Genetics (1.3k citations), Pathology and Forensic Medicine (1.8k citations), Oncology (1.2k citations), Hematology (422 citations) and Immunology (566 citations). Eva Giné has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Elı́as Campo, Neus Villamor, Francesc Bosch, Emili Montserrat, Armando López‐Guillermo, Dolors Colomer, Jordi Esteve, Ana Muntañola, Antonio Martı́nez and Marı́a Rozman. Their work appears in journals such as Blood, Clinical Cancer Research, Haematologica, Hematological Oncology 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.