Eugenia Prus

1.3k citations
28 papers · 990 indexed · h-index 16

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
    • Mesenchymal stem cell research
  • Hematology top 2%
    • Iron Metabolism and Disorders
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Hemoglobinopathies and Related Disorders 17
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Iron Metabolism and Disorders 10
    • Acute Myeloid Leukemia Research 3
    • Blood groups and transfusion 3

Eugenia Prus

28 papers receiving 967 citations

Peers

Eugenia Prus
Comparison fields: 5 of 91
  • Genetics 527
  • Hematology 495
  • Nutrition and Dietetics 139
  • Physiology 178
  • Pediatrics, Perinatology and Child Health 112
Replace G. Zanninelli with:
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Eugenia Prus

Since Specialization
Citations

This map shows the geographic impact of Eugenia Prus'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 Eugenia Prus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia Prus more than expected).

Fields of papers citing papers by Eugenia Prus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugenia Prus. 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 Eugenia Prus. The network helps show where Eugenia Prus may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Eugenia Prus, 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 Eugenia Prus Line = papers co-authored together Eugenia Prus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20171
2 20157
3 201210
4 201264
5 200933
6 200843
7 200811
8 200712
9 2007106
10 2007109
11 200680
12 200559
13 200455
14 20046
15 20038
16 200378
17 2003118
18 200317
19 200275
20 19901

About Eugenia Prus

Eugenia Prus is a scholar working on Genetics, Hematology, Equine, Physiology and Nutrition and Dietetics, having authored 28 papers that have together received 990 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (17 papers), Erythrocyte Function and Pathophysiology (10 papers), Iron Metabolism and Disorders (10 papers), Trace Elements in Health (5 papers), Acute Myeloid Leukemia Research (3 papers), Blood groups and transfusion (3 papers), Immune Cell Function and Interaction (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (527 citations), Hematology (495 citations), Nutrition and Dietetics (139 citations), Physiology (178 citations) and Pediatrics, Perinatology and Child Health (112 citations). Eugenia Prus has collaborated with scholars based in Israel, Italy and United States. Frequent co-authors include Eitan Fibach, Roberto Gambari, Nicoletta Bianchi, Monica Borgatti, Abraham M. Konijn, Ilaria Lampronti, Efrat Landau, Tony Peled, Carlo Mischiati and Abraham J. Treves. Their work appears in journals such as Blood, British Journal of Haematology, European Journal Of Haematology, Transfusion and Journal of Cellular Biochemistry.

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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