Ewa Brojer

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

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Hematology top 2%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments

Papers in

    • Blood groups and transfusion 55
    • Platelet Disorders and Treatments 20
    • Hepatitis B Virus Studies 19
    • Liver Disease Diagnosis and Treatment 12

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
Replace G C de Gast with:
G C de Gast Netherlands
W. P. Schaasberg Netherlands
Thomas Weimer Germany
H.‐H. Brackmann Germany
Y. Laurian France
P Chiewsilp Thailand
Peter van Swieten Netherlands
Heike Bialleck Germany
Jean‐Denis Bignon France
Kyoichi Kano United States
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Citations per field
00.5×9.7×
G C de Gast · 1×
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-authors

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

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 2008111
3 200692
4 199261
5 200552
6 198750
7 198942
8 201332
9 201830
10 198730
11 201528
12 201928
13 200127
14 198927
15 201026
16 200924
17 201423
18 201122
19 201322
20
Thyroid gland dysfunctions during antiviral therapy of chronic hepatitis C.
200121

About Ewa Brojer

Ewa Brojer is a scholar working on Hematology, Epidemiology, Physiology, Hepatology and Genetics, 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), Liver Disease Diagnosis and Treatment (12 papers), Blood disorders and treatments (12 papers) and Hemoglobinopathies and Related 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, Agnieszka Orzińska, Jean‐Pierre Allain, 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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