Dominic Edelmann

1.0k total citations · 1 hit paper
39 papers, 607 citations indexed

About

Dominic Edelmann is a scholar working on Statistics and Probability, Molecular Biology and Oncology. According to data from OpenAlex, Dominic Edelmann has authored 39 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 13 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Dominic Edelmann's work include Genetic factors in colorectal cancer (9 papers), Epigenetics and DNA Methylation (8 papers) and Statistical Methods in Clinical Trials (7 papers). Dominic Edelmann is often cited by papers focused on Genetic factors in colorectal cancer (9 papers), Epigenetics and DNA Methylation (8 papers) and Statistical Methods in Clinical Trials (7 papers). Dominic Edelmann collaborates with scholars based in Germany, United States and Netherlands. Dominic Edelmann's co-authors include Gábor J. Székely, Tamás F. Móri, Hermann Brenner, Michael Hoffmeister, Jenny Chang‐Claude, Lina Jansen, Manuela Hummel, Annette Kopp‐Schneider, Axel Benner and Prudence R. Carr and has published in prestigious journals such as Gastroenterology, PLoS ONE and Gut.

In The Last Decade

Dominic Edelmann

36 papers receiving 597 citations

Hit Papers

align trajectories sort by overperformance

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.

On relationships between the Pearson and the distance correlation coefficients

2020 233 citations Dominic Edelmann, Tamás F. Móri et al. Statistics & Probability Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dominic Edelmann Germany	11	162	118	86	69	65	39	607
Zhifeng Chen China	18	213 1.3×	101 0.9×	80 0.9×	38 0.6×	52 0.8×	101	951
Siyang Wang China	19	141 0.9×	138 1.2×	152 1.8×	34 0.5×	59 0.9×	85	979
Agnieszka Oniśko United States	15	80 0.5×	191 1.6×	33 0.4×	47 0.7×	224 3.4×	40	864
Quanwang Li China	26	96 0.6×	44 0.4×	46 0.5×	17 0.2×	17 0.3×	91	2.0k
Tomoko Umeda Japan	16	139 0.9×	119 1.0×	49 0.6×	85 1.2×	34 0.5×	51	1.1k
Anuradha Roy United States	16	128 0.8×	93 0.8×	45 0.5×	61 0.9×	69 1.1×	58	1.1k
Steven J. Rigatti United States	3	150 0.9×	40 0.3×	79 0.9×	12 0.2×	176 2.7×	12	980
Graeme S. Duthie United Kingdom	15	163 1.0×	315 2.7×	96 1.1×	23 0.3×	93 1.4×	31	1.1k
Jianxia Li China	16	223 1.4×	228 1.9×	67 0.8×	53 0.8×	166 2.6×	105	964
David S. Matheson Canada	17	97 0.6×	71 0.6×	36 0.4×	33 0.5×	244 3.8×	42	1.0k

Countries citing papers authored by Dominic Edelmann

Since Specialization

Citations

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

Fields of papers citing papers by Dominic Edelmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominic Edelmann

This figure shows the co-authorship network connecting the top 25 collaborators of Dominic Edelmann. A scholar is included among the top collaborators of Dominic Edelmann 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 Dominic Edelmann. Dominic Edelmann 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

Halama, Niels, et al.. (2025). Prognostic Value of CD8+ T Cells at the Invasive Margin Is Comparable to the Immune Score in Nonmetastatic Colorectal Cancer: A Prospective Multicentric Cohort Study. Clinical Cancer Research. 31(9). 1711–1718. 2 indexed citations

Lonsdorf, Anke S., Dominic Edelmann, Thomas Albrecht, et al.. (2024). Differential Immunoexpression of Inhibitory Immune Checkpoint Molecules and Clinicopathological Correlates in Keratoacanthoma, Primary Cutaneous Squamous Cell Carcinoma and Metastases. Acta Dermato Venereologica. 104. adv13381–adv13381. 1 indexed citations

Yuan, Tanwei, Dominic Edelmann, Jakob Nikolas Kather, et al.. (2023). CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer: A systematic review and external validation study. Critical Reviews in Oncology/Hematology. 193. 104199–104199. 2 indexed citations

Edelmann, Dominic, et al.. (2023). Using real‐world data to predict health outcomes—The prediction design: Application and sample size planning. Biometrical Journal. 65(6). e2200023–e2200023.

Edelmann, Dominic, Federico Canzian, Petra Seibold, et al.. (2023). Genome‐wide study of genetic polymorphisms predictive for outcome from first‐line oxaliplatin‐based chemotherapy in colorectal cancer patients. International Journal of Cancer. 153(9). 1623–1634. 1 indexed citations

Yuan, Tanwei, Dominic Edelmann, Ziwen Fan, et al.. (2023). Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies. Artificial Intelligence in Medicine. 143. 102589–102589. 13 indexed citations

Zhu, Anna, Petra Schrotz‐King, Ben Schöttker, et al.. (2023). Prognostic Value of Post-Operative C-Reactive Protein-Based Inflammatory Biomarkers in Colorectal Cancer Patients: Systematic Review and Meta-Analysis. Clinical Epidemiology. Volume 15. 795–809. 6 indexed citations

Heitmann, Jonas S., Richard F. Schlenk, Daniela Dörfel, et al.. (2023). Phase I study evaluating the Fc-optimized FLT3 antibody FLYSYN in AML patients with measurable residual disease. Journal of Hematology & Oncology. 16(1). 96–96. 12 indexed citations

Edelmann, Dominic, Federico Canzian, Tabitha A. Harrison, et al.. (2022). Predictive Polygenic Score for Outcome after First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients Using Supervised Principal Component Analysis. Cancer Epidemiology Biomarkers & Prevention. 31(11). 2087–2091. 2 indexed citations

10.

Seibold, Petra, Dominic Edelmann, Axel Benner, et al.. (2021). Validation of Genetic Markers Associated with Survival in Colorectal Cancer Patients Treated with Oxaliplatin-Based Chemotherapy. Cancer Epidemiology Biomarkers & Prevention. 31(2). 352–361. 11 indexed citations

11.

Edelmann, Dominic, Maral Saadati, Hein Putter, & Jelle J. Goeman. (2020). A global test for competing risks survival analysis. Statistical Methods in Medical Research. 29(12). 3666–3683. 1 indexed citations

12.

Edelmann, Dominic, Tamás F. Móri, & Gábor J. Székely. (2020). On relationships between the Pearson and the distance correlation coefficients. Statistics & Probability Letters. 169. 108960–108960. 233 indexed citations breakdown →

13.

Edelmann, Dominic, Manuela Hummel, Thomas Hielscher, Maral Saadati, & Axel Benner. (2019). Marginal variable screening for survival endpoints. Biometrical Journal. 62(3). 610–626. 6 indexed citations

14.

Popanda, Odilia, Katja Butterbach, Dominic Edelmann, et al.. (2019). DNA Methylation Profiling to Explore Colorectal Tumor Differences According to Menopausal Hormone Therapy Use in Women. Epigenomics. 11(16). 1765–1778. 3 indexed citations

15.

Jia, Min, Yan Zhang, Lina Jansen, et al.. (2019). A prognostic CpG score derived from epigenome-wide profiling of tumor tissue was independently associated with colorectal cancer survival. Clinical Epigenetics. 11(1). 109–109. 6 indexed citations

16.

Bormann, Felix, Manuel Rodríguez‐Paredes, Felix Lasitschka, et al.. (2018). Cell-of-Origin DNA Methylation Signatures Are Maintained during Colorectal Carcinogenesis. Cell Reports. 23(11). 3407–3418. 49 indexed citations

17.

Gündert, Melanie, Dominic Edelmann, Axel Benner, et al.. (2017). Genome-wide DNA methylation analysis reveals a prognostic classifier for non-metastatic colorectal cancer (ProMCol classifier). Gut. 68(1). 101–110. 32 indexed citations

18.

Wagener, Nina, Dominic Edelmann, Axel Benner, et al.. (2017). Outcome of papillary versus clear cell renal cell carcinoma varies significantly in non-metastatic disease. PLoS ONE. 12(9). e0184173–e0184173. 25 indexed citations

19.

Edelmann, Dominic, et al.. (2016). Distance correlation coefficients for Lancaster distributions. Journal of Multivariate Analysis. 154. 19–39. 8 indexed citations

20.

Edelmann, Dominic, et al.. (2014). Nonparametric Inference for Queueing Networks of Geom^X/G/∞ Queues in Discrete Time. Advances in Applied Probability. 46(3). 790–811. 3 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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