Anna Sałkowska

500 citations
24 papers · 390 · h-index 13

Impact in

Papers in

    • IL-33, ST2, and ILC Pathways 7
    • Psoriasis: Treatment and Pathogenesis 6
    • Immune Cell Function and Interaction 5
    • Toxin Mechanisms and Immunotoxins 3
    • T-cell and B-cell Immunology 3

Anna Sałkowska

22 papers receiving 389 citations

Peers

Anna Sałkowska
Comparison fields: 5 of 75
  • Immunology 152
  • Geriatrics and Gerontology 17
  • Infectious Diseases 74
  • Biological Psychiatry 7
  • Oncology 68
Replace Kaja Karaś with:
Kaja Karaś Poland
Iwona Karwaciak Poland
Chunyan Hu China
Tao Jiao China
Travis Lear United States
Yuejie Xu China
Long-Tao Yue China
Ki-Sun Park South Korea
Lijing Li China
Anna Sałkowska relative to Kaja Karaś Poland Kaja Karaś's profile →
Citations per field
00.5×
Kaja Karaś · 1×
Citations per year

Countries citing papers authored by Anna Sałkowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sałkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Anna Sałkowska, 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 Sałkowska Line = papers co-authored together Anna Sałkowska 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 202148
2 201239
3 202034
4 201134
5 201729
6 201927
7 201924
8 201822
9 202020
10 202017
11 201616
12 201613
13 201312
14 201911
15 202110
16 202210
17 20237
18 20226
19 20176
20 20242

About Anna Sałkowska

Anna Sałkowska is a scholar working on Immunology, Molecular Biology, Oncology, Infectious Diseases and Pathology and Forensic Medicine, having authored 24 papers that have together received 390 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (7 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Immune Cell Function and Interaction (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), T-cell and B-cell Immunology (3 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Immunology (152 citations), Geriatrics and Gerontology (17 citations), Infectious Diseases (74 citations), Biological Psychiatry (7 citations) and Oncology (68 citations). Anna Sałkowska has collaborated with scholars based in Poland. Frequent co-authors include Marcin Ratajewski, Jarosław Dastych, Aurelia Walczak‐Drzewiecka, Kaja Karaś, Iwona Karwaciak, Rafał A. Bachorz, Marta Sobalska‐Kwapis, Dominik Strapagiel, Michał Gorzkiewicz and Łukasz Pułaski. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Leukocyte Biology, Biomedicine & Pharmacotherapy, Vaccines and Toxicology Letters.

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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