Nadja Käding

562 total citations
18 papers, 202 citations indexed

About

Nadja Käding is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Nadja Käding has authored 18 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Microbiology and 6 papers in Infectious Diseases. Recurrent topics in Nadja Käding's work include Reproductive tract infections research (7 papers), Urinary Tract Infections Management (6 papers) and COVID-19 Clinical Research Studies (4 papers). Nadja Käding is often cited by papers focused on Reproductive tract infections research (7 papers), Urinary Tract Infections Management (6 papers) and COVID-19 Clinical Research Studies (4 papers). Nadja Käding collaborates with scholars based in Germany, United States and Austria. Nadja Käding's co-authors include Jan Rupp, Friederike Raczkowski, Magdalena Huber, Hans‐Willi Mittrücker, Márta Szaszák, Valéa Schumacher, Kensuke Shima, Tobias Graf, Matthias Klinger and Bandik Föh and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and BMC Public Health.

In The Last Decade

Nadja Käding

16 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadja Käding Germany 8 62 60 57 53 37 18 202
Gregory Judson United States 8 55 0.9× 47 0.8× 43 0.8× 104 2.0× 22 0.6× 14 250
Shanshan Ni China 11 83 1.3× 39 0.7× 106 1.9× 40 0.8× 83 2.2× 22 365
Hangxing Yu China 12 89 1.4× 136 2.3× 85 1.5× 21 0.4× 72 1.9× 20 333
Dearbhla M Murphy Ireland 6 100 1.6× 161 2.7× 53 0.9× 73 1.4× 102 2.8× 14 285
Meike Voss Germany 10 39 0.6× 74 1.2× 85 1.5× 22 0.4× 95 2.6× 12 286
Álvaro Martínez‐Doménech Spain 8 73 1.2× 52 0.9× 35 0.6× 22 0.4× 16 0.4× 45 230
Maria Tsopanomichalou Greece 10 93 1.5× 41 0.7× 104 1.8× 57 1.1× 42 1.1× 14 279
Kylene P. Daily United States 9 37 0.6× 96 1.6× 131 2.3× 47 0.9× 21 0.6× 15 252
Himangi Warke India 10 101 1.6× 83 1.4× 130 2.3× 69 1.3× 19 0.5× 21 323
Colleen Dunn United States 10 44 0.7× 98 1.6× 65 1.1× 10 0.2× 53 1.4× 18 491

Countries citing papers authored by Nadja Käding

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Käding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Käding

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

All Works

18 of 18 papers shown
1.
Boutin, Sébastien, Nadja Käding, Meriem Belheouane, et al.. (2025). Towards unraveling antimicrobial resistance dynamics: a longitudinal exploration of rectal swab metagenomes. BMC Microbiology. 25(1). 150–150.
2.
Panning, Marcus, Nadja Käding, Andreas Essig, et al.. (2025). Comparing viral, bacterial, and coinfections in community-acquired pneumonia, a retrospective cohort study. International Journal of Infectious Diseases. 154. 107841–107841. 1 indexed citations
3.
Kramme, Evelyn, Nadja Käding, Tobias Graf, et al.. (2025). Rapid diagnostic testing combined with an immediate infectious disease consultation increases the rate of septic intensive care unit patients on targeted antibiotic therapy. Frontiers in Cellular and Infection Microbiology. 14. 1513408–1513408. 2 indexed citations
4.
Käding, Nadja, Sébastien Boutin, Max Borsche, et al.. (2024). Influence of non-pharmaceutical interventions during the COVID-19 pandemic on respiratory viral infections – a prospective population-based cohort study. Frontiers in Public Health. 12. 1415778–1415778. 6 indexed citations
5.
Graspeuntner, Simon, Jennifer Herrmann, Katharina Rox, et al.. (2023). Sorangicin A Is Active against Chlamydia in Cell Culture, Explanted Fallopian Tubes, and Topical In Vivo Treatment. Antibiotics. 12(5). 795–795. 1 indexed citations
6.
Föh, Bandik, Maike Schnoor, Alexander Balck, et al.. (2023). Transition to endemic: 2-year SARS-CoV-2 surveillance follow-up of the ELISA cohort. ERJ Open Research. 9(4). 746–2022. 3 indexed citations
7.
Fels, Benedikt, et al.. (2022). Mineralocorticoid receptor-antagonism prevents COVID-19-dependent glycocalyx damage. Pflügers Archiv - European Journal of Physiology. 474(10). 1069–1076. 11 indexed citations
8.
Balck, Alexander, Bandik Föh, Max Borsche, et al.. (2022). Protocol of the Luebeck longitudinal investigation of SARS-CoV-2 infection (ELISA) study – a prospective population-based cohort study. BMC Public Health. 22(1). 1305–1305. 6 indexed citations
9.
Käding, Nadja, Max Borsche, Simon Graspeuntner, et al.. (2022). Risk assessment of SARS-CoV-2 transmission in hospitality employees in a highly frequented tourist area. Heliyon. 8(12). e12177–e12177.
10.
Diricks, Margo, Thomas A. Kohl, Nadja Käding, et al.. (2022). Whole genome sequencing-based classification of human-related Haemophilus species and detection of antimicrobial resistance genes. Genome Medicine. 14(1). 13–13. 7 indexed citations
11.
12.
Käding, Nadja, et al.. (2021). Impact of First-Line Antimicrobials on Chlamydia trachomatis-Induced Changes in Host Metabolism and Cytokine Production. Frontiers in Microbiology. 12. 676747–676747. 3 indexed citations
13.
Föh, Bandik, Álvaro Mallagaray, Johann Rahmöller, et al.. (2021). Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients. Frontiers in Molecular Biosciences. 8. 35 indexed citations
14.
Shima, Kensuke, Mary M. Weber, Christiane Schnee, et al.. (2020). Development of a Plasmid Shuttle Vector System for Genetic Manipulation of Chlamydia psittaci. mSphere. 5(4). 15 indexed citations
15.
Käding, Nadja, Constanze Müller, Márta Szaszák, et al.. (2017). Growth of Chlamydia pneumoniae Is Enhanced in Cells with Impaired Mitochondrial Function. Frontiers in Cellular and Infection Microbiology. 7. 499–499. 15 indexed citations
16.
Schumacher, Valéa, Nadja Käding, Magdalena Huber, et al.. (2016). Interferon Regulatory Factor 4 controls TH1 cell effector function and metabolism. Scientific Reports. 6(1). 35521–35521. 63 indexed citations
17.
Käding, Nadja, Márta Szaszák, & Jan Rupp. (2014). Imaging of Chlamydia and host cell metabolism. Future Microbiology. 9(4). 509–521. 13 indexed citations
18.
Szaszák, Márta, Kensuke Shima, Nadja Käding, et al.. (2013). Host metabolism promotes growth of Chlamydia pneumoniae in a low oxygen environment. International Journal of Medical Microbiology. 303(5). 239–246. 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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2026