Emilia Jaskuła

486 total citations
27 papers, 285 citations indexed

About

Emilia Jaskuła is a scholar working on Immunology, Hematology and Epidemiology. According to data from OpenAlex, Emilia Jaskuła has authored 27 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Hematology and 8 papers in Epidemiology. Recurrent topics in Emilia Jaskuła's work include Immune Cell Function and Interaction (9 papers), Cytomegalovirus and herpesvirus research (7 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Emilia Jaskuła is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Cytomegalovirus and herpesvirus research (7 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Emilia Jaskuła collaborates with scholars based in Poland, Pakistan and Germany. Emilia Jaskuła's co-authors include Andrzej Lange, Katarzyna Bogunia‐Kubik, Dorota Dłubek, Dorota Duda, Grzegorz Mazur, Kazimierz Kuliczkowski, Ilona Kryczek, Aleksandra Butrym, Tomasz Wróbel and Jerzy Liebhart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Emilia Jaskuła

26 papers receiving 284 citations

Peers

Emilia Jaskuła
Comparison fields: 5 of 54
  • Immunology 116
  • Oncology 109
  • Hematology 96
  • Epidemiology 91
  • Infectious Diseases 49
Replace Blachy J. Dávila Saldaña with:
Blachy J. Dávila Saldaña United States
Pavankumar Reddy Varanasi Germany
Wolf Rösler Germany
Daniela Vallerini Italy
Naoki Kasuga Japan
Jusnara Begum United Kingdom
Dorota Dłubek Poland
Julie Howard United Kingdom
Elena Kurnikova Russia
H E Heslop United States
Blachy J. Dávila Saldaña United States View profile →
Citations per field, relative to Emilia Jaskuła
Emilia Jaskuła · 1×
Citations per year, relative to Emilia Jaskuła
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Countries citing papers authored by Emilia Jaskuła

Since Specialization
Citations

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

Fields of papers citing papers by Emilia Jaskuła

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilia Jaskuła

This figure shows the co-authorship network connecting the top 25 collaborators of Emilia Jaskuła. A scholar is included among the top collaborators of Emilia Jaskuła based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emilia Jaskuła. Emilia Jaskuła is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 3
5 18
6 2
7 10
8 4
9 15
10 1
11 8
12 3
13 17
14 16
15
Proinflammatory chemokine gene expression influences survival of patients with non-Hodgkin’s lymphoma
2
16 19
17 39
18 6
19 19
20 31

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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