Ewa Jaśkiewicz

732 citations
35 papers · 528 indexed · h-index 15

Ewa Jaśkiewicz

35 papers receiving 523 citations

Peers

Ewa Jaśkiewicz
Comparison fields: 5 of 65
  • Hematology 102
  • Immunology 151
  • Cell Biology 94
  • Molecular Biology 335
  • Physiology 120
Replace Н. А. Черепанова with:
Н. А. Черепанова Russia
Stephen M. Manzella United States
Geneviève Herman France
Tarikere Gururaja United States
S Hirani United States
Maria Kordowicz Germany
Henry Chang United States
N. Kluge Germany
Paul A. Aeed United States
D. Yasmeen Australia
Ewa Jaśkiewicz relative to Н. А. Черепанова Russia Н. А. Черепанова's profile →
Citations per field
00.5×
Н. А. Черепанова · 1×
Citations per year

Countries citing papers authored by Ewa Jaśkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Jaśkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 202024
3 201947
4 201811
5 20175
6 201620
7 20165
8 201517
9 20158
10 201412
11 20135
12
[Proteins involved in invasion of human red blood cells by malaria parasites].
20104
13 200211
14 20027
15 200027
16 199827
17 199720
18 19978
19
Alloantibody anti-Gerbich: blood transfusion problems and family studies.
19916
20 199017

About Ewa Jaśkiewicz

Ewa Jaśkiewicz is a scholar working on Hematology, Immunology, Virology, Molecular Biology and Cell Biology, having authored 35 papers that have together received 528 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (19 papers), Malaria Research and Control (8 papers), Blood groups and transfusion (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Mosquito-borne diseases and control (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Cellular transport and secretion (4 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Hematology (102 citations), Immunology (151 citations), Cell Biology (94 citations), Molecular Biology (335 citations) and Physiology (120 citations). Ewa Jaśkiewicz has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Douglas S. Darling, William W. Young, Radosław Kaczmarek, Elwira Lisowska, Marcin Czerwiński, Guofen Zhu, Rosaria Bassi, Krzysztof Mikołajczyk, Jolanta Łukasiewicz and L.F. Sobala. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Biomolecules, Parasites & Vectors and Multiple Sclerosis and Related Disorders.

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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