Silvia Querings

22 total papers · 1.8k total citations
7 papers, 234 citations indexed

About

Silvia Querings is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Silvia Querings has authored 7 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Silvia Querings's work include Lung Cancer Treatments and Mutations (4 papers), Medical Imaging Techniques and Applications (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Silvia Querings is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Medical Imaging Techniques and Applications (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Silvia Querings collaborates with scholars based in Germany, Switzerland and United States. Silvia Querings's co-authors include Norman Zielke, Frank Sprenger, Christian F. Lehner, Thomas Zander, Erich Stoelben, Matthias Scheffler, Walburga Engel-Riedel, Danila Seidel, Roman K. Thomas and Eva Markert and has published in prestigious journals such as Journal of Clinical Oncology, Genes & Development and PLoS ONE.

In The Last Decade

Silvia Querings

6 papers receiving 231 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvia Querings 128 102 85 56 51 7 234
Jerrica L. Breindel 186 1.5× 67 0.7× 142 1.7× 37 0.7× 119 2.3× 5 325
Steven Thibodeau 167 1.3× 68 0.7× 87 1.0× 17 0.3× 9 0.2× 8 327
Shhyam Moorthy 76 0.6× 37 0.4× 46 0.5× 33 0.6× 30 0.6× 8 188
Jun Yao 179 1.4× 33 0.3× 91 1.1× 91 1.6× 30 0.6× 6 303
Polyxeni Bozatzi 228 1.8× 36 0.4× 81 1.0× 25 0.4× 50 1.0× 7 277
Thomas Dal Maso 235 1.8× 52 0.5× 38 0.4× 42 0.8× 25 0.5× 7 286
Franck Ladam 265 2.1× 32 0.3× 42 0.5× 49 0.9× 26 0.5× 11 316
Nilgun Donmez 222 1.7× 116 1.1× 48 0.6× 156 2.8× 12 0.2× 8 329
Ethan J. Brock 152 1.2× 32 0.3× 70 0.8× 67 1.2× 27 0.5× 6 255
Ching Wei Chang 224 1.8× 82 0.8× 51 0.6× 70 1.3× 21 0.4× 6 298

Countries citing papers authored by Silvia Querings

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Querings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Querings

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

All Works

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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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