Rui Wang‐Sattler

10.6k total citations · 2 hit papers
82 papers, 4.4k citations indexed

About

Rui Wang‐Sattler is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Rui Wang‐Sattler has authored 82 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 27 papers in Physiology and 13 papers in Epidemiology. Recurrent topics in Rui Wang‐Sattler's work include Metabolomics and Mass Spectrometry Studies (42 papers), Diet and metabolism studies (16 papers) and Adipose Tissue and Metabolism (12 papers). Rui Wang‐Sattler is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (42 papers), Diet and metabolism studies (16 papers) and Adipose Tissue and Metabolism (12 papers). Rui Wang‐Sattler collaborates with scholars based in Germany, United States and Qatar. Rui Wang‐Sattler's co-authors include Jerzy Adamski, Thomas Illig, Cornelia Prehn, Annette Peters, Karsten Suhre, Christian Gieger, Zhonghao Yu, Martin Hrabě de Angelis, Fotis C. Kafatos and Werner Römisch‐Margl and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rui Wang‐Sattler

77 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of Serum Metabolites Associated With Risk of Type 2 Diabetes Using a Targeted Metabolomic Approach

2012 755 citations Anna Floegel, Zhonghao Yu et al. Diabetes profile →
A genome-wide perspective of genetic variation in human metabolism

2009 475 citations Thomas Illig, Christian Gieger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rui Wang‐Sattler Germany	35	2.6k	1.4k	689	633	450	82	4.4k
Laurence D. Parnell United States	44	2.2k 0.9×	1.3k 0.9×	496 0.7×	482 0.8×	1.3k 2.9×	146	5.6k
Sin Man Lam China	36	2.4k 0.9×	880 0.6×	488 0.7×	510 0.8×	186 0.4×	137	4.6k
François‐Pierre Martin Switzerland	40	3.4k 1.3×	1.7k 1.2×	532 0.8×	561 0.9×	546 1.2×	107	5.4k
Robert P. Mohney United States	44	4.0k 1.5×	2.1k 1.5×	480 0.7×	869 1.4×	548 1.2×	85	7.4k
Jan Krumsiek Germany	35	3.2k 1.2×	983 0.7×	269 0.4×	485 0.8×	720 1.6×	112	5.1k
Carolyn L. Cummins Canada	40	2.2k 0.9×	597 0.4×	189 0.3×	925 1.5×	742 1.6×	93	6.6k
Uta Ceglarek Germany	42	2.1k 0.8×	871 0.6×	322 0.5×	510 0.8×	400 0.9×	200	5.3k
Xirong Guo China	41	2.7k 1.0×	1.4k 1.0×	906 1.3×	1.1k 1.7×	368 0.8×	232	6.7k
Chao‐Qiang Lai United States	43	1.8k 0.7×	1.2k 0.9×	554 0.8×	457 0.7×	2.5k 5.5×	177	6.9k
Bin Geng China	39	3.7k 1.4×	2.1k 1.5×	460 0.7×	546 0.9×	172 0.4×	127	7.6k

Countries citing papers authored by Rui Wang‐Sattler

Since Specialization

Citations

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

Fields of papers citing papers by Rui Wang‐Sattler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rui Wang‐Sattler. 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 Rui Wang‐Sattler. The network helps show where Rui Wang‐Sattler may publish in the future.

Co-authorship network of co-authors of Rui Wang‐Sattler

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

All Works

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20 of 20 papers shown

Ge, Jianhong, Siyu Han, Mengya Shi, et al.. (2025). Integrative Metabolomics of Targeted and Nontargeted Analyses in T2D Progression. Diabetes Care. 49(2). 282–291.

Nattenmüller, Johanna, Barbara Thorand, Annette Peters, et al.. (2025). Serum metabolites characterize hepatic phenotypes and reveal shared pathways: results from population-based imaging. Molecular Medicine. 31(1). 260–260.

Shi, Mengya, Karsten Suhre, Cornelia Prehn, et al.. (2024). Omentin associates with serum metabolite profiles indicating lower diabetes risk: KORA F4 Study. BMJ Open Diabetes Research & Care. 12(2). e003865–e003865.

Ward‐Caviness, Cavin, Johanna Nattenmüller, Jerzy Adamski, et al.. (2024). Serum metabolite signatures of cardiac function and morphology in individuals from a population-based cohort. Biomarker Research. 12(1). 31–31. 1 indexed citations

Han, Siyu, Mengya Shi, Makoto Harada, et al.. (2024). Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function. Metabolites. 14(5). 258–258. 2 indexed citations

Wang‐Sattler, Rui, Annette Peters, Wolfgang Rathmann, et al.. (2024). Stool and blood metabolomics in the metabolic syndrome: a cross-sectional study. Metabolomics. 20(5). 105–105. 1 indexed citations

Li, Ying, Hang Sun, Qin Ma, et al.. (2023). SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning. Information Sciences. 629. 299–312. 2 indexed citations

Huang, Jialing, Cornelia Huth, Marcela Covic, et al.. (2020). Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes. Diabetes. 69(12). 2756–2765. 39 indexed citations

Tsepilov, Yakov A., Sodbo Sharapov, Olga O. Zaytseva, et al.. (2018). A network-based conditional genetic association analysis of the human metabolome. GigaScience. 7(12). 12 indexed citations

10.

Hertel, Johannes, Markus Rotter, Stefan Frenzel, et al.. (2018). Dilution correction for dynamically influenced urinary analyte data. Analytica Chimica Acta. 1032. 18–31. 8 indexed citations

11.

Suárez‐Diez, María, Jonathan Adam, Jerzy Adamski, et al.. (2017). Plasma and Serum Metabolite Association Networks: Comparability within and between Studies Using NMR and MS Profiling. Journal of Proteome Research. 16(7). 2547–2559. 44 indexed citations

12.

Standl, Marie, Falko Tesch, Hansjörg Baurecht, et al.. (2016). Association of Atopic Dermatitis with Cardiovascular Risk Factors and Diseases. Journal of Investigative Dermatology. 137(5). 1074–1081. 81 indexed citations

13.

Merz, Benedikt, Ute Nöthlings, Simone Wahl, et al.. (2016). Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women. PLoS ONE. 11(6). e0157733–e0157733. 4 indexed citations

14.

Dietrich, Stefan, Anna Floegel, Martina Troll, et al.. (2016). Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis. International Journal of Epidemiology. 45(5). 1406–1420. 74 indexed citations

15.

Flexeder, Claudia, Stefan Karrasch, Gabi Kastenmüller, et al.. (2014). Are metabolomic markers associated with spirometric lung function indices?. European Respiratory Journal. 44(Suppl 58). 4908–4908. 1 indexed citations

16.

He, Ying, Zhonghao Yu, Rui Wang‐Sattler, et al.. (2012). Cell type specificity of signaling: view from membrane receptors distribution and their downstream transduction networks. Protein & Cell. 3(9). 701–713. 5 indexed citations

17.

Mittelstraß, Kirstin, Janina S. Ried, Zhonghao Yu, et al.. (2011). Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers. PLoS Genetics. 7(8). e1002215–e1002215. 282 indexed citations

18.

Zhai, Guangju, Rui Wang‐Sattler, Deborah Hart, et al.. (2010). Serum branched-chain amino acid to histidine ratio: a novel metabolomic biomarker of knee osteoarthritis. Annals of the Rheumatic Diseases. 69(6). 1227–1231. 150 indexed citations

19.

Hao, Pei, Siyuan Zheng, Jie Ping, et al.. (2009). Human gene expression sensitivity according to large scale meta-analysis. BMC Bioinformatics. 10(S1). S56–S56. 9 indexed citations

20.

Wang‐Sattler, Rui, Yao Yu, Kirstin Mittelstraß, et al.. (2008). Metabolic Profiling Reveals Distinct Variations Linked to Nicotine Consumption in Humans — First Results from the KORA Study. PLoS ONE. 3(12). e3863–e3863. 96 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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