Joanna Stanicka

690 citations
10 papers · 421 · h-index 9

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 2
    • Glycosylation and Glycoproteins Research 1
    • Acute Myeloid Leukemia Research 4

Joanna Stanicka

10 papers receiving 415 citations

Peers

Joanna Stanicka
Comparison fields: 5 of 84
  • Hematology 60
  • Cancer Research 45
  • Molecular Biology 217
  • Immunology 63
  • Bioengineering 15
Replace Tomáš Eckschlager with:
Tomáš Eckschlager Czechia
Maria M. Shchepinova United Kingdom
Mingming Liu China
Robert Karisch Canada
Orna Nadiv Israel
Sandra Vorlová Germany
Greg A. Timblin United States
Yihan Wang China
Markéta Vlčková Czechia
Joanna Stanicka relative to Tomáš Eckschlager Czechia Tomáš Eckschlager's profile →
Citations per field
00.5×
Tomáš Eckschlager · 1×
Citations per year

Countries citing papers authored by Joanna Stanicka

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Stanicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Joanna Stanicka, 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 Joanna Stanicka Line = papers co-authored together Joanna Stanicka links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013152
2 201575
3 201247
4 201638
5 201632
6 201823
7 202020
8 201417
9 201713
10 20224

About Joanna Stanicka

Joanna Stanicka is a scholar working on Molecular Biology, Hematology, Immunology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 421 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune cells in cancer (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Cancer Mechanisms and Therapy (1 paper), Glycosylation and Glycoproteins Research (1 paper), Molecular Sensors and Ion Detection (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Hematology (60 citations), Cancer Research (45 citations), Molecular Biology (217 citations), Immunology (63 citations) and Bioengineering (15 citations). Joanna Stanicka has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include Thomas G. Cotter, John F. Woolley, Jennifer N. Moloney, Shane V. Hegarty, Christopher J. Chang, Rosemary O’Connor, Lavinia Bhatt, Bryan C. Dickinson, Aideen M. Sullivan and Gerard W. O’Keeffe. Their work appears in journals such as Oncogene, Investigational New Drugs, Journal of Biological Chemistry, Trends in Biochemical Sciences and PLoS ONE.

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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