Siegbert Rieg

6.3k total citations
118 papers, 2.5k citations indexed

About

Siegbert Rieg is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Siegbert Rieg has authored 118 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Infectious Diseases, 49 papers in Epidemiology and 16 papers in Surgery. Recurrent topics in Siegbert Rieg's work include Antimicrobial Resistance in Staphylococcus (36 papers), Infective Endocarditis Diagnosis and Management (27 papers) and COVID-19 Clinical Research Studies (16 papers). Siegbert Rieg is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (36 papers), Infective Endocarditis Diagnosis and Management (27 papers) and COVID-19 Clinical Research Studies (16 papers). Siegbert Rieg collaborates with scholars based in Germany, United States and United Kingdom. Siegbert Rieg's co-authors include Winfried V. Kern, Hubert Kalbacher, Achim J. Kaasch, Harald Seifert, Claus Garbe, Birgit Schittek, Dirk Wagner, Gabriele Peyerl‐Hoffmann, Martin Hellmich and Andreas Humeny and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Siegbert Rieg

102 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siegbert Rieg Germany 24 1.0k 724 512 404 348 118 2.5k
Rama Chaudhry India 28 941 0.9× 870 1.2× 173 0.3× 714 1.8× 414 1.2× 188 3.3k
Natasha E. Holmes Australia 23 1.1k 1.0× 404 0.6× 452 0.9× 341 0.8× 144 0.4× 119 2.2k
Camilo J. Acosta United States 36 1.1k 1.1× 1.4k 2.0× 94 0.2× 268 0.7× 597 1.7× 93 4.3k
Günter Rieg United States 15 1.4k 1.3× 491 0.7× 427 0.8× 343 0.8× 504 1.4× 22 1.9k
Roberto Luzzati Italy 33 1.9k 1.9× 1.5k 2.1× 213 0.4× 470 1.2× 372 1.1× 158 3.9k
Allon E. Moses Israel 32 1.3k 1.2× 1.0k 1.4× 276 0.5× 417 1.0× 1.3k 3.8× 111 3.3k
Satoshi Kutsuna Japan 23 1.9k 1.8× 465 0.6× 138 0.3× 330 0.8× 815 2.3× 191 3.1k
Amy E. Bryant United States 36 2.7k 2.6× 592 0.8× 725 1.4× 680 1.7× 2.2k 6.5× 86 4.1k
Christian Østergaard Denmark 24 746 0.7× 1.0k 1.4× 449 0.9× 252 0.6× 477 1.4× 73 2.4k
Magnús Gottfreðsson Iceland 29 1.3k 1.2× 1.4k 2.0× 186 0.4× 327 0.8× 547 1.6× 113 3.0k

Countries citing papers authored by Siegbert Rieg

Since Specialization
Citations

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

Fields of papers citing papers by Siegbert Rieg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siegbert Rieg

This figure shows the co-authorship network connecting the top 25 collaborators of Siegbert Rieg. A scholar is included among the top collaborators of Siegbert Rieg 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 Siegbert Rieg. Siegbert Rieg 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.
Hazard, Derek, et al.. (2025). How to avoid time-related types of bias in the analysis of clinical infectious diseases: demonstration and methods. Clinical Microbiology and Infection. 31(9). 1467–1474.
2.
Emmerich, Florian, Siegbert Rieg, Susanne Usadel, et al.. (2025). Limited vaccine-induced CD8+ T cell immunity in HIV-infected immunological nonresponders. JCI Insight. 10(21).
3.
Hornuß, Daniel, Sebastian Grundmann, Alicja Zientara, et al.. (2024). Partial oral treatment of infective endocarditis in real-world settings – an in-depth analysis of the prospectively evaluated German DERIVE cohort. SHILAP Revista de lepidopterología. 1(2). 105032–105032. 2 indexed citations
5.
Götz, Veronika, Katarina Stete, Hanna Hilger, et al.. (2024). No reduced serum serotonin levels in patients with post-acute sequelae of COVID-19. Infection. 53(1). 463–466. 4 indexed citations
6.
Vehreschild, Jörg Janne, Lutz Zabel, Christoph D. Spinner, et al.. (2022). COVIDAL: A Machine Learning Classifier for Digital COVID-19 Diagnosis in German Hospitals. ACM Transactions on Management Information Systems. 14(2). 1–16. 5 indexed citations
8.
Hornuß, Daniel, Matthias Mueller, Susanne Usadel, et al.. (2022). Transmission characteristics, replication patterns and clinical manifestations of human monkeypox virus—an in-depth analysis of four cases from Germany. Clinical Microbiology and Infection. 29(1). 112.e5–112.e9. 17 indexed citations
9.
Stete, Katarina, James Balmford, Winfried V. Kern, et al.. (2021). Reducing burden from respiratory infections in refugees and immigrants: a systematic review of interventions in OECD, EU, EEA and EU-applicant countries. BMC Infectious Diseases. 21(1). 872–872. 4 indexed citations
10.
Rieg, Siegbert, Maja von Cube, Johannes Kalbhenn, et al.. (2020). COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany. PLoS ONE. 15(11). e0242127–e0242127. 45 indexed citations
11.
Rieg, Siegbert, Elke Neumann‐Haefelin, Paul Biever, et al.. (2020). Comparison of different anticoagulation strategies for renal replacement therapy in critically ill patients with COVID-19: a cohort study. BMC Nephrology. 21(1). 20 indexed citations
12.
Joost, Insa, et al.. (2020). Staphylococcus aureus Bloodstream Infection in Patients with Atopic Dermatitis, or: Think Twice Before Placing a Venous Catheter into Lesional Atopic Skin. Journal of Investigative Dermatology. 140(9). 1870–1872. 4 indexed citations
13.
Alabi, Abraham, Inácio Mandomando, Winfried V. Kern, et al.. (2018). Management of superficial and deep-seated Staphylococcus aureus skin and soft tissue infections in sub-Saharan Africa: a post hoc analysis of the StaphNet cohort. Infection. 46(3). 395–404. 5 indexed citations
14.
Joost, Insa, Achim J. Kaasch, Christine Pausch, et al.. (2017). Staphylococcus aureus bacteremia in patients with rheumatoid arthritis – Data from the prospective INSTINCT cohort. Journal of Infection. 74(6). 575–584. 14 indexed citations
15.
Rieg, Siegbert, Insa Joost, Verena Weiß, et al.. (2016). Combination antimicrobial therapy in patients with Staphylococcus aureus bacteraemia—a post hoc analysis in 964 prospectively evaluated patients. Clinical Microbiology and Infection. 23(6). 406.e1–406.e8. 45 indexed citations
16.
Joost, Insa, Johannes Steinfurt, Philipp T. Meyer, Winfried V. Kern, & Siegbert Rieg. (2016). Staphylococcus aureus bacteremia with iliac artery endarteritis in a patient receiving ustekinumab. BMC Infectious Diseases. 16(1). 586–586. 7 indexed citations
19.
Rieg, Siegbert, et al.. (2008). Resistance against antimicrobial peptides is independent of Escherichia coli AcrAB, Pseudomonas aeruginosa MexAB and Staphylococcus aureus NorA efflux pumps. International Journal of Antimicrobial Agents. 33(2). 174–176. 33 indexed citations
20.
Rieg, Siegbert, Silke Seeber, Andreas Humeny, et al.. (2005). Deficiency of Dermcidin-Derived Antimicrobial Peptides in Sweat of Patients with Atopic Dermatitis Correlates with an Impaired Innate Defense of Human Skin In Vivo. The Journal of Immunology. 174(12). 8003–8010. 202 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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