Agata Schramm‐Luc

1.0k total citations · 2 hit papers
7 papers, 773 citations indexed

About

Agata Schramm‐Luc is a scholar working on Rheumatology, Immunology and Epidemiology. According to data from OpenAlex, Agata Schramm‐Luc has authored 7 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Rheumatology, 3 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Agata Schramm‐Luc's work include Spondyloarthritis Studies and Treatments (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes and associated disorders (2 papers). Agata Schramm‐Luc is often cited by papers focused on Spondyloarthritis Studies and Treatments (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes and associated disorders (2 papers). Agata Schramm‐Luc collaborates with scholars based in Poland, United Kingdom and Italy. Agata Schramm‐Luc's co-authors include Tomasz J. Guzik, T. Mikołajczyk, Mateusz Siedliński, Joanna Kozioł, Marta Cześnikiewicz‐Guzik, M Dróźdź, G. Wilk, Εvangelos Εvangelou, Mark J. Caulfield and Grzegorz Osmenda and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and European Heart Journal.

In The Last Decade

Agata Schramm‐Luc

7 papers receiving 760 citations

Hit Papers

Oxidative stress and inflammatory markers in prediabetes ... 2019 2026 2021 2023 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Agata Schramm‐Luc Poland 7 184 175 168 147 115 7 773
Neelima Singh India 13 142 0.8× 101 0.6× 128 0.8× 112 0.8× 126 1.1× 49 626
Seong‐Hee Ko South Korea 11 290 1.6× 40 0.2× 158 0.9× 180 1.2× 95 0.8× 25 947
Yasumasa Endo Japan 15 197 1.1× 226 1.3× 55 0.3× 162 1.1× 66 0.6× 19 703
Emina Čolak Serbia 15 128 0.7× 34 0.2× 99 0.6× 145 1.0× 97 0.8× 45 687
Grażyna Adler Poland 17 288 1.6× 40 0.2× 109 0.6× 72 0.5× 86 0.7× 86 874
Beata Telejko Poland 19 117 0.6× 50 0.3× 239 1.4× 222 1.5× 254 2.2× 59 1.2k
Caroline Pereira Domingueti Brazil 11 188 1.0× 29 0.2× 204 1.2× 106 0.7× 86 0.7× 33 805
Kenta Mori Japan 18 179 1.0× 42 0.2× 198 1.2× 159 1.1× 80 0.7× 49 949
Michihiro Hosojima Japan 16 231 1.3× 22 0.1× 129 0.8× 115 0.8× 63 0.5× 50 843
Ľudovít Gašpar Slovakia 17 255 1.4× 28 0.2× 175 1.0× 238 1.6× 130 1.1× 92 967

Countries citing papers authored by Agata Schramm‐Luc

Since Specialization
Citations

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

Fields of papers citing papers by Agata Schramm‐Luc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agata Schramm‐Luc. 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 Agata Schramm‐Luc. The network helps show where Agata Schramm‐Luc may publish in the future.

Co-authorship network of co-authors of Agata Schramm‐Luc

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Schramm‐Luc. A scholar is included among the top collaborators of Agata Schramm‐Luc 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 Agata Schramm‐Luc. Agata Schramm‐Luc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Bilski, Jan, Agata Schramm‐Luc, Marian Szczepanik, et al.. (2023). Adipokines in Rheumatoid Arthritis: Emerging Biomarkers and Therapeutic Targets. Biomedicines. 11(11). 2998–2998. 8 indexed citations
2.
Cześnikiewicz‐Guzik, Marta, Grzegorz Osmenda, Mateusz Siedliński, et al.. (2019). Causal association between periodontitis and hypertension: evidence from Mendelian randomization and a randomized controlled trial of non-surgical periodontal therapy. European Heart Journal. 40(42). 3459–3470. 229 indexed citations breakdown →
3.
Batko, Bogdan, Agata Schramm‐Luc, Dominik Skiba, T. Mikołajczyk, & Mateusz Siedliński. (2019). TNF-α Inhibitors Decrease Classical CD14hiCD16− Monocyte Subsets in Highly Active, Conventional Treatment Refractory Rheumatoid Arthritis and Ankylosing Spondylitis. International Journal of Molecular Sciences. 20(2). 291–291. 11 indexed citations
4.
Schramm‐Luc, Agata, et al.. (2019). Oxidative stress and inflammatory markers in prediabetes and diabetes.. PubMed. 70(6). 469 indexed citations breakdown →
5.
Mikołajczyk, T., Ryszard Nosalski, Dominik Skiba, et al.. (2019). 1,2,3,4,6‐Penta‐O‐galloyl‐β‐d‐glucose modulates perivascular inflammation and prevents vascular dysfunction in angiotensin II‐induced hypertension. British Journal of Pharmacology. 176(12). 1951–1965. 25 indexed citations
6.
Batko, Bogdan, Paweł Maga, Agata Schramm‐Luc, et al.. (2018). Microvascular dysfunction in ankylosing spondylitis is associated with disease activity and is improved by anti-TNF treatment. Scientific Reports. 8(1). 13205–13205. 21 indexed citations
7.
Schramm‐Luc, Agata, et al.. (2018). Age determines response to anti-TNFα treatment in patients with ankylosing spondylitis and is related to TNFα-producing CD8 cells. Clinical Rheumatology. 37(6). 1597–1604. 10 indexed citations

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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