Susen Becker

2.4k total citations
36 papers, 1.2k citations indexed

About

Susen Becker is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Susen Becker has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 7 papers in Oncology. Recurrent topics in Susen Becker's work include Metabolomics and Mass Spectrometry Studies (11 papers), Cancer Risks and Factors (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Susen Becker is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Cancer Risks and Factors (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Susen Becker collaborates with scholars based in Germany, Switzerland and United States. Susen Becker's co-authors include Uta Ceglarek, Rudolf Kaaks, Joachim Thiery, Laure Dossus, Linda Kortz, Christin Helmschrodt, Juliane Dorow, J Dittrich, Aida Karina Zaineddin and Katharina Buck and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Cancer.

In The Last Decade

Susen Becker

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susen Becker Germany 21 554 202 175 157 147 36 1.2k
Dongxiao Shen United States 16 847 1.5× 78 0.4× 345 2.0× 131 0.8× 166 1.1× 24 1.6k
Xiang Liu China 21 508 0.9× 101 0.5× 61 0.3× 117 0.7× 106 0.7× 85 1.2k
Liu Gao-lin China 22 610 1.1× 163 0.8× 253 1.4× 103 0.7× 241 1.6× 56 1.4k
Masamitsu Maekawa Japan 20 461 0.8× 386 1.9× 274 1.6× 129 0.8× 100 0.7× 101 1.2k
Dean Hickman United States 20 691 1.2× 297 1.5× 153 0.9× 88 0.6× 253 1.7× 39 1.6k
Yubing Zhu China 22 691 1.2× 336 1.7× 83 0.5× 147 0.9× 252 1.7× 59 1.6k
Gang Luo China 17 468 0.8× 176 0.9× 85 0.5× 63 0.4× 94 0.6× 60 1.3k
Wai‐Nang Paul Lee United States 19 831 1.5× 129 0.6× 142 0.8× 89 0.6× 511 3.5× 28 1.4k
Takashi Obama Japan 21 429 0.8× 82 0.4× 137 0.8× 191 1.2× 84 0.6× 43 1.1k
Vanessa Galleggiante Italy 19 630 1.1× 176 0.9× 93 0.5× 90 0.6× 342 2.3× 24 1.3k

Countries citing papers authored by Susen Becker

Since Specialization
Citations

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

Fields of papers citing papers by Susen Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susen Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Susen Becker. A scholar is included among the top collaborators of Susen Becker 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 Susen Becker. Susen Becker 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.
Baumann, Sven, et al.. (2025). Cannabinoide im Wandel des Rechts. Rechtsmedizin. 35(6). 421–427.
2.
Dittrich, J, Susen Becker, Holger Kirsten, et al.. (2023). An atlas of genome-wide gene expression and metabolite associations and possible mediation effects towards body mass index. Journal of Molecular Medicine. 101(10). 1305–1321. 1 indexed citations
3.
4.
Beutner, Frank, Christian Ritter, Markus Scholz, et al.. (2020). A metabolomic approach to identify the link between sports activity and atheroprotection. European Journal of Preventive Cardiology. 29(3). 436–444. 6 indexed citations
5.
Becker, Susen, J Dittrich, Holger Kirsten, et al.. (2019). Clinical and lifestyle related factors influencing whole blood metabolite levels – A comparative analysis of three large cohorts. Molecular Metabolism. 29. 76–85. 29 indexed citations
6.
Seehofer, Daniel, Thomas Berg, Susen Becker, et al.. (2017). Low PCSK9 levels are correlated with mortality in patients with end-stage liver disease. PLoS ONE. 12(7). e0181540–e0181540. 16 indexed citations
7.
Dorow, Juliane, Susen Becker, Linda Kortz, et al.. (2016). Preanalytical Investigation of Polyunsaturated Fatty Acids and Eicosanoids in Human Plasma by Liquid Chromatography–Tandem Mass Spectrometry. Biopreservation and Biobanking. 14(2). 107–113. 32 indexed citations
8.
Kinny‐Köster, Benedict, Michael Bartels, Susen Becker, et al.. (2016). Plasma Amino Acid Concentrations Predict Mortality in Patients with End-Stage Liver Disease. PLoS ONE. 11(7). e0159205–e0159205. 42 indexed citations
9.
Ceglarek, Uta, Susen Becker, Martin Fiedler, et al.. (2016). Circulating sterols as predictors of early allograft dysfunction and clinical outcome in patients undergoing liver transplantation. Metabolomics. 12(12). 182–182. 4 indexed citations
10.
Becker, Susen, Francesco Potì, Martin F. Brodde, et al.. (2016). High density lipoprotein (HDL)-associated sphingosine 1-phosphate (S1P) inhibits macrophage apoptosis by stimulating STAT3 activity and survivin expression. Atherosclerosis. 257. 29–37. 57 indexed citations
11.
Ceglarek, Uta, J Dittrich, Christin Helmschrodt, et al.. (2014). Preanalytical standardization of sphingosine-1-phosphate, sphinganine-1-phosphate and sphingosine analysis in human plasma by liquid chromatography–tandem mass spectrometry. Clinica Chimica Acta. 435. 1–6. 14 indexed citations
12.
Ceglarek, Uta, J Dittrich, Susen Becker, et al.. (2013). Quantification of seven apolipoproteins in human plasma by proteotypic peptides using fast LC‐MS/MS. PROTEOMICS - CLINICAL APPLICATIONS. 7(11-12). 794–801. 34 indexed citations
13.
Helmschrodt, Christin, et al.. (2013). Fast LC–MS/MS analysis of free oxysterols derived from reactive oxygen species in human plasma and carotid plaque. Clinica Chimica Acta. 425. 3–8. 64 indexed citations
14.
Becker, Susen, Joachim Thiery, & Uta Ceglarek. (2012). Evaluation of a Novel Commercial Assay for the Determination of Cyclosporine A, Tacrolimus, Sirolimus, and Everolimus by Liquid Chromatography–Tandem Mass Spectrometric Assay. Therapeutic Drug Monitoring. 35(1). 129–132. 24 indexed citations
15.
Himmerich, Hubertus, Susen Becker, Linda Kortz, et al.. (2012). Impact of Clozapine, N-Desmethylclozapine and Chlorpromazine on Thromboxane Production in Vitro. Medicinal Chemistry. 8(6). 1032–1038. 5 indexed citations
16.
Zaineddin, Aida Karina, Alina Vrieling, Katharina Buck, et al.. (2011). Serum enterolactone and postmenopausal breast cancer risk by estrogen, progesterone and herceptin 2 receptor status. International Journal of Cancer. 130(6). 1401–1410. 37 indexed citations
17.
Becker, Susen, Linda Kortz, Christin Helmschrodt, Joachim Thiery, & Uta Ceglarek. (2011). LC–MS-based metabolomics in the clinical laboratory. Journal of Chromatography B. 883-884. 68–75. 103 indexed citations
18.
Schmidt, Martina E., Susen Becker, Rudolf Kaaks, et al.. (2010). Physical activity and endogenous sex hormones in postmenopausal women: to what extent are observed associations confounded or modified by BMI?. Cancer Causes & Control. 22(1). 81–89. 22 indexed citations
19.
Dossus, Laure, Susen Becker, David Achaintre, Rudolf Kaaks, & Sabina Rinaldi. (2009). Validity of multiplex-based assays for cytokine measurements in serum and plasma from “non-diseased” subjects: Comparison with ELISA. Journal of Immunological Methods. 350(1-2). 125–132. 74 indexed citations
20.
Becker, Susen & Rudolf Kaaks. (2008). EHxoorgmeonnoeuss, aMnadmEmndooggraepnhoiucs Density and Breast Cancer Risk: Can Mammographic Density Be Considered an Intermediate Marker of Risk?. Recent results in cancer research. 181. 135–157. 26 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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