Jan Łącki

1.1k citations
69 papers · 757 · h-index 17

Impact in

Papers in

    • Systemic Lupus Erythematosus Research 16
    • Rheumatoid Arthritis Research and Therapies 7
    • Bone Metabolism and Diseases 5

Jan Łącki

66 papers receiving 704 citations

Peers

Jan Łącki
Comparison fields: 5 of 111
  • Theoretical Computer Science 20
  • Rheumatology 184
  • History and Philosophy of Science 41
  • Condensed Matter Physics 92
  • Immunology 137
Replace M. D’Agostino with:
M. D’Agostino Italy
M. K. Daniel United States
Takumi Doi Japan
Sakae Saito Japan
T. Tatsumi Japan
J K Łacki Poland
Masayuki Asakawa Japan
Yasuo Hara Japan
Yuji Sugawara Japan
Tatsuo Kobayashi Japan
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Citations per year

Countries citing papers authored by Jan Łącki

Since Specialization
Citations

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

Fields of papers citing papers by Jan Łącki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200772
2 199246
3 200941
4 199533
5 200426
6 200025
7 201123
8 199622
9 200922
10 200321
11 200721
12 200721
13 200820
14 201218
15 200816
16 200716
17 199316
18 200915
19 200715
20
The effect of long-term glucocorticoids on bone metabolism in systemic lupus erythematosus patients: the prevalence of its anti-inflammatory action upon bone resorption.
200315

About Jan Łącki

Jan Łącki is a scholar working on Rheumatology, Molecular Biology, Atomic and Molecular Physics, and Optics, Immunology and Statistical and Nonlinear Physics, having authored 69 papers that have together received 757 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (16 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Quantum Mechanics and Applications (5 papers), Bone Metabolism and Diseases (5 papers), History and Theory of Mathematics (4 papers), Theoretical and Computational Physics (4 papers), Philosophy and History of Science (4 papers) and Algebraic structures and combinatorial models (4 papers). The work is most often cited by research in Theoretical Computer Science (20 citations), Rheumatology (184 citations), History and Philosophy of Science (41 citations), Condensed Matter Physics (92 citations) and Immunology (137 citations). Jan Łącki has collaborated with scholars based in Poland, Switzerland and United States. Frequent co-authors include H. Ruegg, G. Wanders, Paweł P. Jagodzińśki, Gyan Bhanot, Margarita Lianeri, Paweł Hrycaj, Agnieszka Paradowska‐Gorycka, Michael Creutz, S Mackiewicz and Włodzimierz Maśliński. Their work appears in journals such as Clinical Rheumatology, Current Eye Research, DNA and Cell Biology, Molecular Biology Reports and Astroparticle Physics.

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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