Anna Stefańska

2.1k citations
70 papers · 1.5k · h-index 20

Impact in

Papers in

Anna Stefańska

66 papers receiving 1.5k citations

Peers

Anna Stefańska
Comparison fields: 5 of 135
  • Immunology 474
  • Endocrinology, Diabetes and Metabolism 199
  • Dermatology 94
  • Nephrology 65
  • Biological Psychiatry 19
Replace Nadia Giarratana with:
Nadia Giarratana Italy
Nada Pejnović Serbia
Masahiro Nakashima Japan
Dimitrios Christodoulou Greece
Hsin‐Hua Chen Taiwan
Janette Furuzawa‐Carballeda Mexico
Takayuki Nakayama Japan
Thijs Hendriks Netherlands
Eiji Takeuchi Japan
Yahya Daoud United States
Anna Stefańska relative to Nadia Giarratana Italy Nadia Giarratana's profile →
Citations per field
00.5×4.9×
Nadia Giarratana · 1×
Citations per year

Countries citing papers authored by Anna Stefańska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Stefańska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013235
2 2015169
3 2016112
4 201580
5 201169
6 201168
7 200961
8 202337
9 200932
10
Chemerin and the recruitment of NK cells to diseased skin.
200931
11 201230
12 202030
13 201329
14 201429
15 200928
16 201323
17 200822
18 202020
19 201220
20 201219

About Anna Stefańska

Anna Stefańska is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Immunology, Molecular Biology and Rheumatology, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Diet, Metabolism, and Disease (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Dermatology and Skin Diseases (5 papers), Spondyloarthritis Studies and Treatments (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). The work is most often cited by research in Immunology (474 citations), Endocrinology, Diabetes and Metabolism (199 citations), Dermatology (94 citations), Nephrology (65 citations) and Biological Psychiatry (19 citations). Anna Stefańska has collaborated with scholars based in Poland, Ireland and United States. Frequent co-authors include Grażyna Sypniewska, Katarzyna Bergmann, Patrick Walsh, Kingston H. G. Mills, Jacek Manitius, Lara S. Dungan, Joanna Cichy, Eugene C. Butcher, Brian A. Zabel and Mathilde Raverdeau. Their work appears in journals such as Nutrients, The Journal of Immunology, Scientific Reports, Kidney & Blood Pressure Research and International Journal of Molecular Sciences.

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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