Sarah Sandmann

1.4k total citations · 2 hit papers
40 papers, 584 citations indexed

About

Sarah Sandmann is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sarah Sandmann has authored 40 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Sarah Sandmann's work include Cancer Genomics and Diagnostics (10 papers), Genomics and Rare Diseases (6 papers) and Genomics and Phylogenetic Studies (6 papers). Sarah Sandmann is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Genomics and Rare Diseases (6 papers) and Genomics and Phylogenetic Studies (6 papers). Sarah Sandmann collaborates with scholars based in Germany, Netherlands and United Kingdom. Sarah Sandmann's co-authors include Julian Varghese, Martin Dugas, Lucas Plagwitz, Joop H. Jansen, Aniek O. de Graaf, Bert A. van der Reijden, Eva Hellström‐Lindberg, Mohsen Karimi, Lars Eckardt and Kevin Willy and has published in prestigious journals such as Nature Medicine, Nature Communications and Blood.

In The Last Decade

Sarah Sandmann

37 papers receiving 566 citations

Hit Papers

Systematic analysis of ChatGPT, Google search and Llama 2... 2024 2026 2025 2024 2025 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Sandmann Germany 11 198 106 90 85 79 40 584
Emily Jefferson United Kingdom 10 423 2.1× 75 0.7× 57 0.6× 24 0.3× 57 0.7× 33 761
Travis Osterman United States 11 119 0.6× 64 0.6× 106 1.2× 26 0.3× 70 0.9× 33 504
Giovanna Nicora Italy 9 167 0.8× 57 0.5× 53 0.6× 41 0.5× 79 1.0× 35 434
Christine M. Cutillo United States 7 118 0.6× 26 0.2× 202 2.2× 90 1.1× 91 1.2× 7 504
Fahad Al‐Muhanna Saudi Arabia 10 90 0.5× 25 0.2× 60 0.7× 195 2.3× 75 0.9× 31 599
Yihao Liu China 15 143 0.7× 35 0.3× 70 0.8× 43 0.5× 43 0.5× 50 788
Tina Seto United States 12 77 0.4× 76 0.7× 32 0.4× 44 0.5× 96 1.2× 26 435
Jacqueline Corrigan‐Curay United States 9 135 0.7× 23 0.2× 76 0.8× 19 0.2× 32 0.4× 13 616
Kwang An Kwon South Korea 19 152 0.8× 72 0.7× 32 0.4× 33 0.4× 46 0.6× 99 1.1k
Albert T. Young United States 14 136 0.7× 19 0.2× 41 0.5× 153 1.8× 154 1.9× 27 868

Countries citing papers authored by Sarah Sandmann

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Sandmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Sandmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Sandmann. A scholar is included among the top collaborators of Sarah Sandmann 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 Sarah Sandmann. Sarah Sandmann 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.
Sandmann, Sarah, et al.. (2025). Role of genetics in the age-related testosterone decline in men: a UK Biobank study. European Journal of Endocrinology. 193(2). 197–203. 1 indexed citations
2.
Sandmann, Sarah, et al.. (2025). Benchmark evaluation of DeepSeek large language models in clinical decision-making. Nature Medicine. 31(8). 2546–2549. 23 indexed citations breakdown →
3.
Sandmann, Sarah, Julian Varghese, Nadine Ritter, et al.. (2023). Knockout of the Cardiac Transcription Factor NKX2-5 Results in Stem Cell-Derived Cardiac Cells with Typical Purkinje Cell-like Signal Transduction and Extracellular Matrix Formation. International Journal of Molecular Sciences. 24(17). 13366–13366. 1 indexed citations
4.
Sandmann, Sarah, Chimène Nze-Nkogue, Julian Varghese, et al.. (2023). Pharyngeal Communities and Antimicrobial Resistance in Pangolins in Gabon. Microbiology Spectrum. 11(4). 2 indexed citations
5.
Sandmann, Sarah, et al.. (2023). Network analysis of polymicrobial chronic wound infections in Masanga, Sierra Leone. BMC Infectious Diseases. 23(1). 250–250. 1 indexed citations
6.
Sandmann, Sarah, Frieder Schaumburg, & Julian Varghese. (2023). GEFAAR: a generic framework for the analysis of antimicrobial resistance providing statistics and cluster analyses. Scientific Reports. 13(1). 16922–16922. 1 indexed citations
7.
Sandmann, Sarah, et al.. (2022). clevRvis: visualization techniques for clonal evolution. GigaScience. 12. 3 indexed citations
8.
Trautmann, Marcel, Wolfgang Hartmann, Sarah Sandmann, et al.. (2022). Design of a targeted next‐generation DNA sequencing panel for pediatric T‐cell lymphoblastic lymphoma to unravel biology and optimize treatment. Genes Chromosomes and Cancer. 61(8). 459–470. 1 indexed citations
9.
Wegner, Felix K., Lucas Plagwitz, Christian Ellermann, et al.. (2022). Machine learning in the detection and management of atrial fibrillation. Clinical Research in Cardiology. 111(9). 1010–1017. 41 indexed citations
10.
Sandmann, Sarah, Yvonne Lisa Behrens, Felicitas Thol, et al.. (2022). Clonal Evolution at First Sight: A Combined Visualization of Diverse Diagnostic Methods Improves Understanding of Leukemic Progression. Frontiers in Oncology. 12. 888114–888114. 2 indexed citations
11.
Sandmann, Sarah, Peter Bartel, Rita Exeler, et al.. (2022). The Role of Clonal Evolution on Progression, Blood Parameters, and Response to Therapy in Multiple Myeloma. Frontiers in Oncology. 12. 919278–919278. 4 indexed citations
12.
Sandmann, Sarah, et al.. (2022). Exploring Current Challenges and Perspectives for Automatic Reconstruction of Clonal Evolution. Cancer Genomics & Proteomics. 19(2). 194–204. 1 indexed citations
13.
Dugas, Martin, et al.. (2021). Comparison of Open-access Databases for Clinical Variant Interpretation in Cancer: A Case Study of MDS/AML. Cancer Genomics & Proteomics. 18(2). 157–166. 5 indexed citations
14.
Sandmann, Sarah, Stephanie Müller, Marius Wöste, et al.. (2020). Reconstructing clonal evolution in relapsed and non-relapsed Burkitt lymphoma. Leukemia. 35(2). 639–643. 13 indexed citations
15.
Sandmann, Sarah, Aniek O. de Graaf, Magnus Tobiasson, et al.. (2020). Multicenter Next-Generation Sequencing Studies between Theory and Practice. Journal of Molecular Diagnostics. 23(3). 347–357. 3 indexed citations
16.
Wagner, Steffen, Ulrike Gamerdinger, Sarah Sandmann, et al.. (2019). Genetic alterations in human papillomavirus-associated oropharyngeal squamous cell carcinoma of patients with treatment failure. Oral Oncology. 93. 59–65. 10 indexed citations
17.
Sandmann, Sarah, Aniek O. de Graaf, Mohsen Karimi, et al.. (2017). Evaluating Variant Calling Tools for Non-Matched Next-Generation Sequencing Data. Scientific Reports. 7(1). 43169–43169. 121 indexed citations
18.
Varghese, Julian, Sarah Sandmann, & Martin Dugas. (2017). Online Information Infrastructure Increases Inter-Rater Reliability of Medical Coders: A Quasi-Experimental Study (Preprint). Journal of Medical Internet Research. 20(10). e274–e274. 6 indexed citations
19.
Sandmann, Sarah, Aniek O. de Graaf, Bert A. van der Reijden, Joop H. Jansen, & Martin Dugas. (2017). GLM-based optimization of NGS data analysis: A case study of Roche 454, Ion Torrent PGM and Illumina NextSeq sequencing data. PLoS ONE. 12(2). e0171983–e0171983. 7 indexed citations
20.
Basude, Dharamveer, et al.. (2016). Managing irritable bowel syndrome in children. Nursing Standard. 31(7). 42–52. 5 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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