Sarah Gerster

6.0k total citations · 1 hit paper
7 papers, 638 citations indexed

About

Sarah Gerster is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Sarah Gerster has authored 7 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Spectroscopy. Recurrent topics in Sarah Gerster's work include Advanced Proteomics Techniques and Applications (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Sarah Gerster is often cited by papers focused on Advanced Proteomics Techniques and Applications (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Sarah Gerster collaborates with scholars based in Switzerland, United States and Belgium. Sarah Gerster's co-authors include Mauro Delorenzi, Charlotte Soneson, Ping Yan, A. Roth, Fred T. Bosman, Vlad Popovici, Eva Budínská, Bart Jacobs, Sabine Tejpar and Edoardo Missiaglia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Sarah Gerster

7 papers receiving 632 citations

Hit Papers

Distal and proximal colon cancers differ in terms of mole... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Gerster Switzerland 7 415 224 170 164 93 7 638
Friedemann Krause Germany 7 165 0.4× 72 0.3× 61 0.4× 100 0.6× 30 0.3× 8 399
Shufen Cao United States 13 116 0.3× 45 0.2× 102 0.6× 218 1.3× 60 0.6× 43 503
Shih‐Huang Chan Taiwan 13 128 0.3× 56 0.3× 35 0.2× 261 1.6× 65 0.7× 14 465
Wangxiong Hu China 18 327 0.8× 132 0.6× 192 1.1× 562 3.4× 57 0.6× 45 986
Gerhard Jung Spain 8 224 0.5× 138 0.6× 113 0.7× 447 2.7× 66 0.7× 26 739
Shun Matsuura Japan 14 149 0.4× 75 0.3× 120 0.7× 293 1.8× 62 0.7× 43 539
Jesper Olsen Denmark 10 199 0.5× 95 0.4× 58 0.3× 239 1.5× 70 0.8× 18 516
Aleksandra A. Pandyra Germany 16 129 0.3× 26 0.1× 60 0.4× 262 1.6× 134 1.4× 38 764
Gabriele Picco Italy 9 213 0.5× 99 0.4× 59 0.3× 364 2.2× 32 0.3× 16 563
A Martin United Kingdom 13 119 0.3× 45 0.2× 55 0.3× 385 2.3× 75 0.8× 18 649

Countries citing papers authored by Sarah Gerster

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Gerster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Gerster

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

All Works

7 of 7 papers shown
1.
Neuditschko, Markus, P. M. Fried, Sarah Gerster, et al.. (2020). Estimates of genetic parameters for production, behaviour, and health traits in two Swiss honey bee populations. Apidologie. 51(5). 876–891. 28 indexed citations
2.
Gerster, Sarah, Mauro Delorenzi, Thomas E. Jensen, et al.. (2016). Cell Line Derived 5-FU and Irinotecan Drug-Sensitivity Profiles Evaluated in Adjuvant Colon Cancer Trial Data. PLoS ONE. 11(5). e0155123–e0155123. 6 indexed citations
3.
Missiaglia, Edoardo, Bart Jacobs, Antonio Fabio Di Narzo, et al.. (2014). Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features. Annals of Oncology. 25(10). 1995–2001. 477 indexed citations breakdown →
4.
Soneson, Charlotte, Sarah Gerster, & Mauro Delorenzi. (2014). Batch Effect Confounding Leads to Strong Bias in Performance Estimates Obtained by Cross-Validation. PLoS ONE. 9(6). e100335–e100335. 49 indexed citations
5.
Gerster, Sarah, Taejoon Kwon, Christina Ludwig, et al.. (2013). Statistical Approach to Protein Quantification. Molecular & Cellular Proteomics. 13(2). 666–677. 30 indexed citations
6.
Gerster, Sarah, Ermir Qeli, Christian H. Ahrens, & Peter Bühlmann. (2010). Protein and gene model inference based on statistical modeling in k-partite graphs. Proceedings of the National Academy of Sciences. 107(27). 12101–12106. 31 indexed citations
7.
Dolenc, Jožica, Sarah Gerster, & Wilfred F. van Gunsteren. (2010). Molecular Dynamics Simulations Shed Light on the Enthalpic and Entropic Driving Forces That Govern the Sequence Specific Recognition between Netropsin and DNA. The Journal of Physical Chemistry B. 114(34). 11164–11172. 17 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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