Mike Oliver Becker

4.5k total citations
63 papers, 1.6k citations indexed

About

Mike Oliver Becker is a scholar working on Pathology and Forensic Medicine, Dermatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mike Oliver Becker has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pathology and Forensic Medicine, 22 papers in Dermatology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mike Oliver Becker's work include Systemic Sclerosis and Related Diseases (50 papers), Dermatologic Treatments and Research (19 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (16 papers). Mike Oliver Becker is often cited by papers focused on Systemic Sclerosis and Related Diseases (50 papers), Dermatologic Treatments and Research (19 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (16 papers). Mike Oliver Becker collaborates with scholars based in Switzerland, Germany and Norway. Mike Oliver Becker's co-authors include Gabriela Riemekasten, Oliver Distler, Dörte Huscher, Gerd R Burmester, Angela Kill, Gerd‐Rüdiger Burmester, Harald Heidecke, Duska Dragun, Marco Matucci‐Cerinic and Britta Maurer and has published in prestigious journals such as Annals of the Rheumatic Diseases, European Journal of Immunology and Cell Reports.

In The Last Decade

Mike Oliver Becker

55 papers receiving 1.6k citations

Peers

Mike Oliver Becker
Robyn T. Domsic United States
Voon H Ong United Kingdom
Soumya Chatterjee United States
Dimitrios Daoussis Greece
Thomas Daikeler Switzerland
Elisabetta Zanatta Italy
A Scheja Sweden
Jessica Gordon United States
Michael Weisman United States
S. Morell‐Dubois France
Robyn T. Domsic United States
Mike Oliver Becker
Citations per year, relative to Mike Oliver Becker Mike Oliver Becker (= 1×) peers Robyn T. Domsic

Countries citing papers authored by Mike Oliver Becker

Since Specialization
Citations

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

Fields of papers citing papers by Mike Oliver Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Oliver Becker. 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 Mike Oliver Becker. The network helps show where Mike Oliver Becker may publish in the future.

Co-authorship network of co-authors of Mike Oliver Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Oliver Becker. A scholar is included among the top collaborators of Mike Oliver Becker 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 Mike Oliver Becker. Mike Oliver Becker 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
1.
Bruni, Cosimo, Lorenzo Tofani, Håvard Fretheim, et al.. (2025). A screening tool to detect interstitial lung disease in systemic sclerosis: the ILD-RISC score. Lara D. Veeken. 64(12). 6285–6293. 1 indexed citations
2.
Becker, Mike Oliver, et al.. (2025). Treatment approaches for idiopathic retroperitoneal fibrosis: a systematic review with meta-analysis. BMC Rheumatology. 9(1). 12–12. 1 indexed citations
3.
Sauer, G., Muriel Elhaï, Rucsandra Dobrotă, et al.. (2025). Emphysema elevates the DETECT scores: impact on pulmonary hypertension screening and diagnosis in systemic sclerosis. Lara D. Veeken. 64(12). 6132–6141.
4.
Dobrotă, Rucsandra, Suzana Jordan, Nicoletta Del Papa, et al.. (2024). Dysregulation of circulating collagen turnover markers in very early systemic sclerosis. RMD Open. 10(2). e003306–e003306. 4 indexed citations
5.
Becker, Mike Oliver, Cosimo Bruni, Rucsandra Dobrotă, et al.. (2024). Does therapy with immunosuppressive drugs improve gastrointestinal symptoms in patients with systemic sclerosis?. RMD Open. 10(3). e004333–e004333. 2 indexed citations
6.
7.
Mihai, Carina, Muriel Elhaï, Mike Oliver Becker, et al.. (2024). Arthritis in patients with very early systemic sclerosis: a comprehensive clinical and prognostic analysis. Lara D. Veeken. 64(3). 1243–1250. 1 indexed citations
8.
Bruni, Cosimo, Lorenzo Tofani, Suzana Jordan, et al.. (2024). Histogram-Based Densitometry Index to Assess the Severity of Interstitial Lung Disease in Systemic Sclerosis in Standard and Low-Dose Computed Tomography. The Journal of Rheumatology. 51(3). 270–276. 1 indexed citations
9.
Jordan, Suzana, Mike Oliver Becker, Cosimo Bruni, et al.. (2024). Therapeutic management of fibrosis in systemic sclerosis patients – an analysis from the Swiss EUSTAR cohort. Swiss Medical Weekly. 154(2). 3630–3630.
10.
Fretheim, Håvard, Ishita Barua, Mike Oliver Becker, et al.. (2023). OP0236 RISK FACTORS FOR SSc-ILD PROGRESSION USING THE NEW PPF GUIDELINE AND INBUILD PF-ILD CRITERIA. Annals of the Rheumatic Diseases. 82. 156–157. 2 indexed citations
11.
Iudici, Michele, Mihaela Stegert, Sabine Adler, et al.. (2023). Management of giant-cell arteritis in Switzerland: an online national survey. Swiss Medical Weekly. 153(4). 40051–40051.
12.
Gotschy, Alexander, Suzana Jordan, Christian T. Stoeck, et al.. (2022). Diffuse myocardial fibrosis precedes subclinical functional myocardial impairment and provides prognostic information in systemic sclerosis. European Heart Journal - Cardiovascular Imaging. 24(3). 373–382. 15 indexed citations
13.
Jordan, Suzana, Britta Maurer, Mike Oliver Becker, et al.. (2021). Pain chronification and the important role of non-disease-specific symptoms in patients with systemic sclerosis. Arthritis Research & Therapy. 23(1). 34–34. 6 indexed citations
14.
Becker, Mike Oliver, Nicole Graf, Rafael Sauter, et al.. (2019). Predictors of disease worsening defined by progression of organ damage in diffuse systemic sclerosis: a European Scleroderma Trials and Research (EUSTAR) analysis. Annals of the Rheumatic Diseases. 78(9). 1242–1248. 40 indexed citations
15.
Becker, Mike Oliver & Gabriela Riemekasten. (2012). Kritische Extremitätenischämie bei systemischer Sklerose. Zeitschrift für Rheumatologie. 71(4). 261–269.
16.
Becker, Mike Oliver, et al.. (2011). Six-minute walk distance as a marker for disability and complaints in patients with systemic sclerosis.. PubMed. 29(2 Suppl 65). S53–9. 45 indexed citations
17.
Riemekasten, Gabriela, Aurélie Philippe, Torsten Slowinski, et al.. (2010). Involvement of functional autoantibodies against vascular receptors in systemic sclerosis. Annals of the Rheumatic Diseases. 70(3). 530–536. 212 indexed citations
18.
Sander, Oliver, Cord Sunderkötter, Ina Kötter, et al.. (2010). Kapillarmikroskopie. Zeitschrift für Rheumatologie. 69(3). 253–262. 23 indexed citations
19.
Becker, Mike Oliver, Udo Schneider, Katharina Hanke, et al.. (2010). Nutritional status as marker for disease activity and severity predicting mortality in patients with systemic sclerosis. Annals of the Rheumatic Diseases. 69(11). 1951–1957. 86 indexed citations
20.
Hanke, Katharina, Claudia Brückner, Cornelia Dähnrich, et al.. (2009). Antibodies against PM/Scl-75 and PM/Scl-100 are independent markers for different subsets of systemic sclerosis patients. Arthritis Research & Therapy. 11(1). R22–R22. 85 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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