Nicolas Städler

1.3k total citations
18 papers, 434 citations indexed

About

Nicolas Städler is a scholar working on Statistics and Probability, Molecular Biology and Oncology. According to data from OpenAlex, Nicolas Städler has authored 18 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Nicolas Städler's work include Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Inference (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Nicolas Städler is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Inference (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Nicolas Städler collaborates with scholars based in Switzerland, France and Germany. Nicolas Städler's co-authors include Peter Bühlmann, Zherui Wu, Patricia Forgez, E. Segal, Antonio Bobbio, Diane Damotte, Filippo Lococo, Jean Trédaniel, Marco Alifano and Philippe Icard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Molecular and Cellular Biology.

In The Last Decade

Nicolas Städler

18 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Städler Switzerland	11	151	135	70	66	57	18	434
Ursula Becker Germany	15	72 0.5×	124 0.9×	49 0.7×	39 0.6×	13 0.2×	40	521
David Erichsen United States	9	98 0.6×	167 1.2×	149 2.1×	4 0.1×	22 0.4×	13	556
Minki Kim South Korea	11	74 0.5×	213 1.6×	39 0.6×	5 0.1×	59 1.0×	26	505
S. Kataoka Japan	11	59 0.4×	233 1.7×	87 1.2×	10 0.2×	37 0.6×	28	482
Tatsuya Ando Japan	9	37 0.2×	227 1.7×	69 1.0×	8 0.1×	18 0.3×	26	420
Benhuai Xie United States	12	319 2.1×	299 2.2×	57 0.8×	43 0.7×	10 0.2×	17	663
Serena G. Liao United States	9	130 0.9×	243 1.8×	61 0.9×	31 0.5×	94 1.6×	19	526
Héctor Sanz United States	4	41 0.3×	175 1.3×	92 1.3×	16 0.2×	106 1.9×	8	481
Harris A. Jaffee United States	8	32 0.2×	697 5.2×	27 0.4×	20 0.3×	23 0.4×	11	904
Zachary B. Abrams United States	13	103 0.7×	185 1.4×	110 1.6×	7 0.1×	24 0.4×	36	487

Countries citing papers authored by Nicolas Städler

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Städler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Städler

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

All Works

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18 of 18 papers shown

Städler, Nicolas, Nadia Hoyeau, Ingo Ott, et al.. (2025). Synthesis and Biological Evaluation of a New Biphenyl-Based Organogold(III) Complex with In Vitro and In Vivo Anticancer Activity. Journal of Medicinal Chemistry. 68(2). 1755–1771. 1 indexed citations

Dejardin, David, et al.. (2024). An overview of statistical methods for biomarkers relevant to early clinical development of cancer immunotherapies. Frontiers in Immunology. 15. 1351584–1351584. 1 indexed citations

Dejardin, David, Anton Kraxner, Annika Blank, et al.. (2023). A Composite Decision Rule of CD8+ T-cell Density in Tumor Biopsies Predicts Efficacy in Early-stage, Immunotherapy Trials. Clinical Cancer Research. 30(4). 877–882. 4 indexed citations

Manet, Caroline, Zeyni Mansuroglu, Laurine Conquet, et al.. (2022). Zika virus infection of mature neurons from immunocompetent mice generates a disease-associated microglia and a tauopathy-like phenotype in link with a delayed interferon beta response. Journal of Neuroinflammation. 19(1). 307–307. 12 indexed citations

Wu, Zherui, Nicolas Städler, Jin Liu, et al.. (2021). Effect of Monoclonal Antibody Blockade of Long Fragment Neurotensin on Weight Loss, Behavior, and Metabolic Traits After High-Fat Diet Induced Obesity. Frontiers in Endocrinology. 12. 739287–739287. 8 indexed citations

Thompson, John R., Keith R. Abrams, Nicolas Städler, et al.. (2020). Bayesian hierarchical meta‐analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data. Statistics in Medicine. 39(8). 1103–1124. 18 indexed citations

Fournel, Ludovic, Zherui Wu, Nicolas Städler, et al.. (2019). Cisplatin increases PD-L1 expression and optimizes immune check-point blockade in non-small cell lung cancer. Cancer Letters. 464. 5–14. 173 indexed citations

Städler, Nicolas, Frank Dondelinger, Steven M. Hill, et al.. (2017). Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study. Bioinformatics. 33(18). 2890–2896. 11 indexed citations

Wu, Zherui, Antoine Galmiche, Jin Liu, et al.. (2016). Neurotensin regulation induces overexpression and activation of EGFR in HCC and restores response to erlotinib and sorafenib. Cancer Letters. 388. 73–84. 29 indexed citations

10.

Städler, Nicolas & Sach Mukherjee. (2016). Two-sample Testing in High Dimensions. Journal of the Royal Statistical Society Series B (Statistical Methodology). 79(1). 225–246. 8 indexed citations

11.

Städler, Nicolas, Aijing Shang, Francesc Bosch, et al.. (2016). A Systematic Review and Network Meta-Analysis to Evaluate the Comparative Efficacy of Interventions for Unfit Patients with Chronic Lymphocytic Leukemia. Advances in Therapy. 33(10). 1814–1830. 13 indexed citations

12.

Städler, Nicolas, Daniel J. Stekhoven, & Peter Bühlmann. (2014). Pattern alternating maximization algorithm for missing data in high-dimensional problems. Journal of Machine Learning Research. 15(1). 1903–1928. 14 indexed citations

13.

Städler, Nicolas & Sach Mukherjee. (2014). Multivariate gene-set testing based on graphical models. Biostatistics. 16(1). 47–59. 10 indexed citations

14.

Zujovic, Violetta, Corinne Bachelin, Marie Vidal, et al.. (2011). Boundary cap cells are peripheral nervous system stem cells that can be redirected into central nervous system lineages. Proceedings of the National Academy of Sciences. 108(26). 10714–10719. 45 indexed citations

15.

Städler, Nicolas, Peter Bühlmann, & Sara van de Geer. (2010). Rejoinder: ℓ 1-penalization for mixture regression models. Test. 19(2). 280–285. 8 indexed citations

16.

Städler, Nicolas & Peter Bühlmann. (2010). Missing values: sparse inverse covariance estimation and an extension to sparse regression. Statistics and Computing. 22(1). 219–235. 53 indexed citations

17.

Huber, Daniel, Mark S. Talary, F. Dewarrat, et al.. (2007). Multi-sensor data fusion for non-invasive continuous glucose monitoring. 32. 1–10. 4 indexed citations

18.

Storck, Sébastien, Frédéric Delbos, Nicolas Städler, et al.. (2005). Normal Immune System Development in Mice Lacking the Deltex-1 RING Finger Domain. Molecular and Cellular Biology. 25(4). 1437–1445. 22 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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