Anna Ejduk

425 citations
24 papers · 359 · h-index 9

Impact in

Papers in

    • Acute Myeloid Leukemia Research 10
    • Chronic Myeloid Leukemia Treatments 4
    • Blood groups and transfusion 2
    • Iron Metabolism and Disorders 2
    • Multiple Myeloma Research and Treatments 2
    • Chronic Lymphocytic Leukemia Research 5
    • Hemoglobinopathies and Related Disorders 3

Anna Ejduk

20 papers receiving 354 citations

Peers

Anna Ejduk
Comparison fields: 5 of 37
  • Hematology 207
  • Public Health, Environmental and Occupational Health 154
  • Oncology 101
  • Genetics 34
  • Dermatology 21
Replace Kazuo Hatanaka with:
Kazuo Hatanaka Japan
Bruce W. Greig United States
Jérémy Delage France
Giancarlo Fatobene Brazil
Lauren Pommert United States
Gerard Socié France
Valério Maisano France
Elisa Mauro Italy
Yueping Jia China
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Citations per field
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Citations per year

Countries citing papers authored by Anna Ejduk

Since Specialization
Citations

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

Fields of papers citing papers by Anna Ejduk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017189
2 201538
3 201027
4 201514
5 201113
6 202111
7 201410
8 201610
9 20059
10 20086
11 20126
12
Guillain-Barre syndrome--pathological connection with GvHD after allogeneic bone marrow transplantation.
20065
13 20165
14 20094
15 20103
16 20242
17 20142
18 20182
19 20152
20 20161

About Anna Ejduk

Anna Ejduk is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Oncology and Molecular Biology, having authored 24 papers that have together received 359 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (10 papers), Acute Myeloid Leukemia Research (10 papers), Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Blood groups and transfusion (2 papers), Iron Metabolism and Disorders (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (207 citations), Public Health, Environmental and Occupational Health (154 citations), Oncology (101 citations), Genetics (34 citations) and Dermatology (21 citations). Anna Ejduk has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Partow Kebriaei, Naohito Fujishima, Barbara Sleight, Daniel DeAngelo, Toshiki Uchida, Hagop Kantarjian, Susan Mary O'Brien, Hui Zhang, María Calbacho and Erik R. Vandendries. Their work appears in journals such as Blood, European Journal Of Haematology, Scientific Reports, Leukemia Research and Blood Cells Molecules and Diseases.

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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