Eva Minga

673 total citations
2 papers, 7 citations indexed

About

Eva Minga is a scholar working on Genetics, Artificial Intelligence and Hematology. According to data from OpenAlex, Eva Minga has authored 2 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Artificial Intelligence and 1 paper in Hematology. Recurrent topics in Eva Minga's work include Chronic Lymphocytic Leukemia Research (2 papers), Cancer Genomics and Diagnostics (1 paper) and Algorithms and Data Compression (1 paper). Eva Minga is often cited by papers focused on Chronic Lymphocytic Leukemia Research (2 papers), Cancer Genomics and Diagnostics (1 paper) and Algorithms and Data Compression (1 paper). Eva Minga collaborates with scholars based in Greece, Sweden and Italy. Eva Minga's co-authors include Thomas Chatzikonstantinou, Anastasia Chatzidimitriou, Κώστας Σταματόπουλος, Carol Moreno, Paolo Ghia, Αchilles Anagnostopoulos, Ioanna Chouvarda, Chrysoula Belessi, Aliki Xochelli and Anastasia Hadzidimitriou and has published in prestigious journals such as Blood and HemaSphere.

In The Last Decade

Eva Minga

2 papers receiving 7 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eva Minga Greece	2	5	4	3	2	1	2	7
Alice Guerini Italy	2	3 0.6×	4 1.0×	2 0.7×	2 1.0×		3	8
Juana Gil Herrera Spain	2	5 1.0×	6 1.5×	3 1.0×		1 1.0×	4	9
James Laffan United Kingdom	2	4 0.8×	5 1.3×	3 1.0×			3	14
Spencer Henick Bachow United States	2	4 0.8×	2 0.5×	6 2.0×		1 1.0×	2	9
Katrin Aslan Germany	2	6 1.2×	3 0.8×		1 0.5×	1 1.0×	2	7
Stefanie Lechner Germany	2	3 0.6×	5 1.3×	4 1.3×		1 1.0×	2	6
Theonymfi Doudouliaki Greece	3	3 0.6×	2 0.5×		2 1.0×		3	7
Julien Dubiel France	3	4 0.8×	2 0.5×	1 0.3×	2 1.0×		3	16
Laurence Bouillet France	2	2 0.4×	5 1.3×	2 0.7×		2 2.0×	3	8
Jeroen Koets Netherlands	1	3 0.6×	4 1.0×		1 0.5×	2 2.0×	2	10

Countries citing papers authored by Eva Minga

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eva Minga

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Minga. A scholar is included among the top collaborators of Eva Minga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Minga. Eva Minga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Chatzidimitriou, Anastasia, Eva Minga, Thomas Chatzikonstantinou, et al.. (2020). Challenges and Solutions for Collecting and Analyzing Real World Data: The Eric CLL Database as an Illustrative Example. HemaSphere. 4(5). e425–e425. 3 indexed citations

2.

Baliakas, Panagiotis, Aliki Xochelli, Eva Minga, et al.. (2014). Revisiting Hypogammaglobulinemia in Chronic Lymphocytic Leukemia: A Combined Clinicobiological Approach. Blood. 124(21). 5633–5633. 4 indexed citations

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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