Ewa Brojer

2.1k citations
104 papers · 1.3k indexed · h-index 21

Ewa Brojer

92 papers receiving 1.2k citations

Peers

Ewa Brojer
Comparison fields: 5 of 62
  • Hepatology 468
  • Hematology 596
  • Epidemiology 495
  • Management of Technology and Innovation 73
  • Physiology 262
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Thomas Weimer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ewa Brojer

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Brojer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202114
3 201830
4 201713
5 201514
6
Thalassemias — pathophysiology, molecular basics and diagnostics
20131
7
Polimorfizm +24G>del w 3 intronie genu ITGB3 w regionie diagnostycznym genotypowania allelu HPA-1a: konsekwencje i metody weryfikacji
20131
8 201112
9
Badanie obecności fragmentów genu RHD u dawców RhD ujemnych z zastosowaniem minipulowania i technologii real-time PCR
20091
10
Alloimmunizacja u chorych na niedokrwistość autoimmunohemolityczną oraz genotypowanie krwinek czerwonych w celu udoskonalenia doboru krwi do przetoczeń
20090
11
Częstość zakażeń wirusem HIV w populacji krwiodawców w Polsce w latach 1988-2007
20081
12 20088
13
[GBV-C/HGV and TTV infection markers in Polish blood donors and haemophilia patients].
20065
14 20067
15 200552
16 200411
17
Analysis of HLA frequencies in donor population of Unrelated Bone Marrow Donor and Cord Blood Registry of Institute of Haematology and Blood Transfusion
20031
18 20027
19 19992
20 199511

About Ewa Brojer

Ewa Brojer is a scholar working on Hematology, Hepatology, Genetics, Physiology and Immunology, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (55 papers), Hepatitis C virus research (23 papers), Erythrocyte Function and Pathophysiology (22 papers), Platelet Disorders and Treatments (20 papers), Hepatitis B Virus Studies (19 papers), Blood disorders and treatments (12 papers), Liver Disease Diagnosis and Treatment (12 papers) and Immunodeficiency and Autoimmune Disorders (10 papers). The work is most often cited by research in Hepatology (468 citations), Hematology (596 citations), Epidemiology (495 citations), Management of Technology and Innovation (73 citations) and Physiology (262 citations). Ewa Brojer has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include B Zupańska, Piotr Grabarczyk, Katarzyna Guz, Jean‐Pierre Allain, Agnieszka Orzińska, Magdalena Łętowska, Anthony H. Merry, Małgorzata Uhrynowska, Krystyna Maślanka and Daniel Candotti. Their work appears in journals such as Vox Sanguinis, Transfusion, Placenta, Archivum Immunologiae et Therapiae Experimentalis and Journal of Medical Virology.

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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