Laura Kerschke

615 total citations
20 papers, 162 citations indexed

About

Laura Kerschke is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Laura Kerschke has authored 20 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 7 papers in Artificial Intelligence. Recurrent topics in Laura Kerschke's work include AI in cancer detection (7 papers), Global Cancer Incidence and Screening (6 papers) and Digital Radiography and Breast Imaging (4 papers). Laura Kerschke is often cited by papers focused on AI in cancer detection (7 papers), Global Cancer Incidence and Screening (6 papers) and Digital Radiography and Breast Imaging (4 papers). Laura Kerschke collaborates with scholars based in Germany, United States and Switzerland. Laura Kerschke's co-authors include Stefanie Weigel, Walter Heindel, Maged Alnawaiseh, Joachim Gerß, Hans‐Werner Hense, Nicole Eter, Pieter Nelis, Burkhard Riemann, Alejandro Rodríguez‐Ruiz and Michael Schäfers and has published in prestigious journals such as Radiology, Emerging infectious diseases and Journal of Nuclear Medicine.

In The Last Decade

Laura Kerschke

20 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Kerschke Germany 9 59 57 37 32 28 20 162
Tomoyuki Ishigaki Japan 6 120 2.0× 76 1.3× 17 0.5× 125 3.9× 28 1.0× 15 244
J.A. Messer United States 6 67 1.1× 64 1.1× 11 0.3× 52 1.6× 15 0.5× 17 164
Zhou Dong China 3 41 0.7× 89 1.6× 63 1.7× 42 1.3× 8 0.3× 6 153
Timothy Barry United States 8 44 0.7× 43 0.8× 7 0.2× 25 0.8× 11 0.4× 26 186
Giancarlo Antonucci Italy 6 44 0.7× 48 0.8× 14 0.4× 49 1.5× 4 0.1× 12 149
Sungeun Park South Korea 9 74 1.3× 130 2.3× 6 0.2× 29 0.9× 12 0.4× 32 264
Maheen Rajput United States 8 56 0.9× 43 0.8× 6 0.2× 43 1.3× 22 0.8× 12 181
Juanjuan Fan United States 8 12 0.2× 38 0.7× 4 0.1× 16 0.5× 37 1.3× 11 233
Kelly Reeve Switzerland 10 88 1.5× 60 1.1× 14 0.4× 26 0.8× 3 0.1× 24 246
Xiaoli Xu China 10 108 1.8× 81 1.4× 7 0.2× 36 1.1× 9 0.3× 31 269

Countries citing papers authored by Laura Kerschke

Since Specialization
Citations

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

Fields of papers citing papers by Laura Kerschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Kerschke

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Kerschke. A scholar is included among the top collaborators of Laura Kerschke 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 Laura Kerschke. Laura Kerschke 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.
Weigel, Stefanie, Hans‐Werner Hense, Joachim Gerß, et al.. (2024). Radiation exposure and screening yield by digital breast tomosynthesis compared to mammography: results of the TOSYMA Trial breast density related . European Radiology. 35(1). 166–176. 2 indexed citations
2.
Weigel, Stefanie, et al.. (2023). Artificial Intelligence for Indication of Invasive Assessment of Calcifications in Mammography Screening. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 195(1). 38–46. 2 indexed citations
3.
Weigel, Stefanie, Walter Heindel, Veronika Weyer‐Elberich, et al.. (2023). Digital Breast Tomosynthesis versus Digital Mammography for Detection of Early-Stage Cancers Stratified by Grade: A TOSYMA Subanalysis. Radiology. 309(3). e231533–e231533. 5 indexed citations
4.
Weigel, Stefanie, et al.. (2022). Breast Density and Breast Cancer Screening with Digital Breast Tomosynthesis: A TOSYMA Trial Subanalysis. Radiology. 306(2). e221006–e221006. 21 indexed citations
5.
Noto, Benjamin, Wolfgang Roll, Laura Kerschke, et al.. (2022). Respiratory motion correction in F-18-FDG PET/CT impacts lymph node assessment in lung cancer patients. EJNMMI Research. 12(1). 61–61. 4 indexed citations
6.
Möllers, Mareike, et al.. (2022). Termination of pregnancy in the second trimester – the course of different therapy regimens. Journal of Perinatal Medicine. 50(8). 1053–1060. 1 indexed citations
7.
Pfeuffer, Steffen, Laura Kerschke, Tobias Ruck, et al.. (2021). Teriflunomide treatment is associated with optic nerve recovery in early multiple sclerosis. Therapeutic Advances in Neurological Disorders. 14. 1280218940–1280218940. 5 indexed citations
8.
Seifert, Robert, Michael Schäfers, Barbara Heitplatz, et al.. (2021). Minimal Extrathyroidal Extension in Papillary Thyroid Microcarcinoma Is an Independent Risk Factor for Relapse Through Lymph Node and Distant Metastases. Journal of Nuclear Medicine. 62(12). 1702–1709. 16 indexed citations
9.
Kim, Mee‐Ran, Vinzenz Oji, Heiko Traupe, et al.. (2021). Vitamin D Status in Distinct Types of Ichthyosis: Importance of Genetic Type and Severity of Scaling. Acta Dermato Venereologica. 101(9). adv00546–adv00546. 4 indexed citations
10.
Kerschke, Laura, Stefanie Weigel, Alejandro Rodríguez‐Ruiz, Nico Karssemeijer, & Walter Heindel. (2021). Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance. European Radiology. 32(2). 842–852. 12 indexed citations
11.
Kabar, Iyad, Laura Kerschke, Anna Hüsing‐Kabar, et al.. (2021). Symptom Diary–Based Analysis of Disease Course among Patients with Mild Coronavirus Disease, Germany, 2020. Emerging infectious diseases. 27(5). 1353–1361. 8 indexed citations
12.
13.
Kerschke, Laura, Andreas Faldum, & René Schmidt. (2020). An improved one-sample log-rank test. Statistical Methods in Medical Research. 29(10). 2814–2829. 5 indexed citations
14.
Weigel, Stefanie, et al.. (2020). Künstliche Intelligenz in Ergänzung zur menschlichen Bewertung mammographischer Auffälligkeiten. Geburtshilfe und Frauenheilkunde. 1 indexed citations
15.
Weigel, Stefanie, et al.. (2020). Künstliche Intelligenz in Ergänzung zur menschlichen Bewertung mammographischer Auffälligkeiten. Senologie - Zeitschrift für Mammadiagnostik und -therapie. 1 indexed citations
16.
17.
Keßler, Christina, Claudius Werner, Gerard W. Dougherty, et al.. (2019). Acinetobacter baumannii Is a Risk Factor for Lower Respiratory Tract Infections in Children and Adolescents With a Tracheostomy. The Pediatric Infectious Disease Journal. 38(10). 1005–1009. 8 indexed citations
18.
Liedtke, C, Hans‐Christian Kolberg, Laura Kerschke, et al.. (2018). Systematic analysis of parameters predicting pathological axillary status (ypN0 vs. ypN+) in patients with breast cancer converting from cN+ to ycN0 through primary systemic therapy (PST). Clinical & Experimental Metastasis. 35(8). 777–783. 9 indexed citations
19.
20.
Weigel, Stefanie, Joachim Gerß, Hans‐Werner Hense, et al.. (2018). Digital breast tomosynthesis plus synthesised images versus standard full-field digital mammography in population-based screening (TOSYMA): protocol of a randomised controlled trial. BMJ Open. 8(5). e020475–e020475. 13 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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