Joanna Makowska

4.1k total citations · 1 hit paper
90 papers, 2.0k citations indexed

About

Joanna Makowska is a scholar working on Rheumatology, Physiology and Pharmacology. According to data from OpenAlex, Joanna Makowska has authored 90 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Rheumatology, 24 papers in Physiology and 21 papers in Pharmacology. Recurrent topics in Joanna Makowska's work include Asthma and respiratory diseases (21 papers), Drug-Induced Adverse Reactions (20 papers) and Inflammatory Myopathies and Dermatomyositis (13 papers). Joanna Makowska is often cited by papers focused on Asthma and respiratory diseases (21 papers), Drug-Induced Adverse Reactions (20 papers) and Inflammatory Myopathies and Dermatomyositis (13 papers). Joanna Makowska collaborates with scholars based in Poland, Germany and Spain. Joanna Makowska's co-authors include Marek L. Kowalski, Zuzanna Łukasik, Antonino Romano, Marı́a José Torres, Knut Brockow, Grażyna Bochenek, Eva Gómes, M. Blanca, Ewa Niżankowska‐Mogilnicka and Andrzej Szczeklik and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Joanna Makowska

80 papers receiving 1.9k citations

Hit Papers

Classification and practi... 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Classification and practical approach to the diagnosis and management of hypersensitivity to nonsteroidal anti‐inflammatory drugs
    2013 330 citations Marek L. Kowalski, Joanna Makowska et al. Allergy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanna Makowska Poland 21 932 759 488 455 337 90 2.0k
Pascale Dewachter France 23 714 0.8× 217 0.3× 152 0.3× 916 2.0× 113 0.3× 68 1.7k
Camille Taillé France 29 102 0.1× 1.4k 1.8× 186 0.4× 291 0.6× 1.4k 4.3× 162 3.1k
Pascal Hilliquin France 22 291 0.3× 191 0.3× 810 1.7× 40 0.1× 120 0.4× 82 1.6k
Christian Sieder Germany 21 40 0.0× 294 0.4× 293 0.6× 145 0.3× 196 0.6× 52 1.4k
C. Roubille France 21 177 0.2× 222 0.3× 1.1k 2.3× 20 0.0× 271 0.8× 68 2.0k
Itzhak Rosner Israel 23 212 0.2× 90 0.1× 807 1.7× 27 0.1× 156 0.5× 74 1.9k
Antonio Carletto Italy 22 50 0.1× 166 0.2× 797 1.6× 53 0.1× 170 0.5× 133 2.0k
Gyula Poór Hungary 26 195 0.2× 144 0.2× 564 1.2× 21 0.0× 91 0.3× 97 2.2k
Raute Sunder‐Plaßmann Austria 25 63 0.1× 184 0.2× 67 0.1× 93 0.2× 118 0.4× 71 2.1k
Sharon Silbiger United States 24 125 0.1× 148 0.2× 71 0.1× 76 0.2× 301 0.9× 33 2.6k

Countries citing papers authored by Joanna Makowska

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Makowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Makowska

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

All Works

20 of 20 papers shown
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Brzezińska, Olga, et al.. (2025). Controlling nutritional status score as a sensitive instrument for malnutrition screening in systemic sclerosis - a retrospective study. Rheumatology International. 45(4). 80–80. 2 indexed citations
3.
Makowska, Joanna, et al.. (2025). Risk factors of nociplastic pain in patients with autoimmune arthritis: web-based cross-sectional survey of patients. Rheumatology International. 45(9). 205–205.
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Brzezińska, Olga, et al.. (2024). Automatic assessment of nailfold capillaroscopy software: a pilot study. Reumatologia/Rheumatology. 62(5). 346–350. 2 indexed citations
6.
Makowska, Joanna, et al.. (2024). Understanding the interplay between psoriatic arthritis and gout: “Psout”. Rheumatology International. 44(12). 2699–2709. 4 indexed citations
7.
Nadel, A S, et al.. (2024). Heart involvement in patients with systemic sclerosis—what have we learned about it in the last 5 years. Rheumatology International. 44(10). 1823–1836. 9 indexed citations
8.
Makowska, Joanna, et al.. (2023). Primary angiitis of the CNS and ANCA-associated vasculitis: from pathology to treatment. Rheumatology International. 44(2). 211–222. 2 indexed citations
9.
Makowska, Joanna, et al.. (2023). Ro52/TRIM21 – From host defense to autoimmunity. Cellular Immunology. 393-394. 104776–104776. 8 indexed citations
10.
Zhakparov, Damir, Damian Roqueiro, Zuzanna Łukasik, et al.. (2022). Machine Learning Successfully Detects Patients with COVID-19 Prior to PCR Results and Predicts Their Survival Based on Standard Laboratory Parameters in an Observational Study. Infectious Diseases and Therapy. 12(1). 111–129. 5 indexed citations
11.
Galita, Grzegorz, et al.. (2020). Increased Sensitivity of PBMCs Isolated from Patients with Rheumatoid Arthritis to DNA Damaging Agents Is Connected with Inefficient DNA Repair. Journal of Clinical Medicine. 9(4). 988–988. 14 indexed citations
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Brzezińska, Olga, et al.. (2020). Adherence with methotrexate in polish patients—Survey research results. International Journal of Clinical Practice. 75(3). e13677–e13677. 1 indexed citations
14.
Łukasik, Zuzanna, et al.. (2019). Cardiovascular complications in patients with idiopathic inflammatory myopathies: does heart matter in idiopathic inflammatory myopathies?. Heart Failure Reviews. 26(1). 111–125. 26 indexed citations
15.
Wardzyńska, Aleksandra, Małgorzata Pawelczyk, Joanna Rywaniak, et al.. (2019). Circulating MicroRNAs and T-Cell Cytokine Expression Are Associated With the Characteristics of Asthma Exacerbation. Allergy Asthma and Immunology Research. 12(1). 125–125. 16 indexed citations
16.
Łukasik, Zuzanna, et al.. (2018). From blood coagulation to innate and adaptive immunity: the role of platelets in the physiology and pathology of autoimmune disorders. Rheumatology International. 38(6). 959–974. 43 indexed citations
17.
Lewandowska‐Polak, Anna, et al.. (2018). AB0051 The influence of anti-inflammatory lipoxin a4 on generation of cytokines by pbmcs of patients with psoriatic arthritis. Annals of the Rheumatic Diseases. 77. 1225–1225.
18.
Miłkowska-Dymanowska, Joanna, Adam Białas, Joanna Makowska, et al.. (2017). Geroprotectors as a therapeutic strategy for COPD – where are we now?. Clinical Interventions in Aging. Volume 12. 1811–1817. 5 indexed citations
19.
Kurowski, Marcin, et al.. (2014). Association of serum Clara cell protein CC16 with respiratory infections and immune response to respiratory pathogens in elite athletes. Respiratory Research. 15(1). 45–45. 26 indexed citations
20.

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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