Hannes Müller

3.2k total citations
44 papers, 2.5k citations indexed

About

Hannes Müller is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hannes Müller has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Hannes Müller's work include Epigenetics and DNA Methylation (22 papers), Cancer Genomics and Diagnostics (7 papers) and Genetic factors in colorectal cancer (7 papers). Hannes Müller is often cited by papers focused on Epigenetics and DNA Methylation (22 papers), Cancer Genomics and Diagnostics (7 papers) and Genetic factors in colorectal cancer (7 papers). Hannes Müller collaborates with scholars based in Austria, United States and Germany. Hannes Müller's co-authors include Martin Widschwendter, Heidi Fiegl, Christian Marth, Hans H. Goebel, Andreas Widschwendter, Elisabeth Müller‐Holzner, Matthias Zitt, Michael Hubalek, Lennart Ivarsson and Marion Zitt and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Hannes Müller

43 papers receiving 2.5k citations

Peers

Hannes Müller
Seung Myung Dong South Korea
Willem E. Corver Netherlands
Ronald Paquette United States
Cliff Meldrum Australia
Paul J. van Diest Netherlands
Luigi Scotto United States
Seung Myung Dong South Korea
Hannes Müller
Citations per year, relative to Hannes Müller Hannes Müller (= 1×) peers Seung Myung Dong

Countries citing papers authored by Hannes Müller

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Müller. A scholar is included among the top collaborators of Hannes Müller 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 Hannes Müller. Hannes Müller 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.
Hubalek, Michael, Theresa Czech, & Hannes Müller. (2017). Biological Subtypes of Triple-Negative Breast Cancer. Breast Care. 12(1). 8–14. 91 indexed citations
2.
Müller, Hannes. (2015). Baugemeinschaften als städtebauliches Entwicklungsinstrument. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
3.
Zitt, Matthias, Gerold Untergasser, Albert Amberger, et al.. (2008). Dickkopf‐3 As a New Potential Marker for Neoangiogenesis in Colorectal Cancer: Expression in Cancer Tissue and Adjacent Non‐Cancerous Tissue. Disease Markers. 24(2). 101–109. 37 indexed citations
4.
Müller, Hannes, et al.. (2008). Immunosuppression With Generic Tacrolimus and Mycophenolate Mofetil in Renal Transplant Recipients: Preliminary Report in Chile. Transplantation Proceedings. 40(3). 705–707. 15 indexed citations
5.
Zitt, Matthias, Hannes Müller, M. Rochel, et al.. (2008). Circulating Cell‐Free DNA in Plasma of Locally Advanced Rectal Cancer Patients Undergoing Preoperative Chemoradiation: A Potential Diagnostic Tool for Therapy Monitoring. Disease Markers. 25(3). 159–165. 54 indexed citations
6.
Oberwalder, M., Marion Zitt, Heidi Fiegl, et al.. (2007). SFRP2 methylation in fecal DNA—a marker for colorectal polyps. International Journal of Colorectal Disease. 23(1). 15–19. 58 indexed citations
7.
Zitt, Matthias, Marion Zitt, Hannes Müller, et al.. (2006). Disseminated Tumor Cells in Peripheral Blood: A Novel Marker for Therapy Response in Locally Advanced Rectal Cancer Patients Undergoing Preoperative Chemoradiation. Diseases of the Colon & Rectum. 49(10). 1484–1491. 19 indexed citations
8.
Goebel, Hans H., Marion Zitt, Matthias Zitt, & Hannes Müller. (2005). Circulating Nucleic Acids in Plasma or Serum (CNAPS) as Prognostic and Predictive Markers in Patients with Solid Neoplasias. Disease Markers. 21(3). 105–120. 89 indexed citations
9.
Widschwendter, Martin, Kimberly D. Siegmund, Hannes Müller, et al.. (2004). Association of Breast Cancer DNA Methylation Profiles with Hormone Receptor Status and Response to Tamoxifen. Cancer Research. 64(11). 3807–3813. 268 indexed citations
10.
Widschwendter, Andreas, Hannes Müller, Heidi Fiegl, et al.. (2004). DNA Methylation in Serum and Tumors of Cervical Cancer Patients. Clinical Cancer Research. 10(2). 565–571. 100 indexed citations
11.
Widschwendter, Martin, Guanchao Jiang, Christian B. Woods, et al.. (2004). DNA Hypomethylation and Ovarian Cancer Biology. Cancer Research. 64(13). 4472–4480. 186 indexed citations
12.
Müller, Hannes, M. Oberwalder, Heidi Fiegl, et al.. (2004). Methylation changes in faecal DNA: a marker for colorectal cancer screening?. The Lancet. 363(9417). 1283–1285. 214 indexed citations
13.
Müller, Hannes, Andreas Widschwendter, Heidi Fiegl, et al.. (2004). A DNA methylation pattern similar to normal tissue is associated with better prognosis in human cervical cancer. Cancer Letters. 209(2). 231–236. 20 indexed citations
14.
Widschwendter, Andreas, Hannes Müller, Michael Hubalek, et al.. (2004). Methylation status and expression of human telomerase reverse transcriptase in ovarian and cervical cancer. Gynecologic Oncology. 93(2). 407–416. 60 indexed citations
15.
Hubalek, Michael, Andreas Widschwendter, Martin Erdel, et al.. (2004). Cyclin E dysregulation and chromosomal instability in endometrial cancer. Oncogene. 23(23). 4187–4192. 46 indexed citations
16.
Widschwendter, Andreas, et al.. (2003). Human papillomavirus DNA in sera of cervical cancer patients as tumor marker. Cancer Letters. 202(2). 231–239. 49 indexed citations
17.
Widschwendter, Andreas, Lennart Ivarsson, Hannes Müller, et al.. (2003). CDH1 and CDH13 methylation in serum is an independent prognostic marker in cervical cancer patients. International Journal of Cancer. 109(2). 163–166. 75 indexed citations
18.
Müller, Hannes & Martin Widschwendter. (2003). Methylated DNA as a possible screening marker for neoplastic disease in several body fluids. Expert Review of Molecular Diagnostics. 3(4). 443–458. 38 indexed citations
19.
Müller, Hannes, Heidi Fiegl, Hans H. Goebel, et al.. (2003). MeCP2 and MBD2 expression in human neoplastic and non-neoplastic breast tissue and its association with oestrogen receptor status. British Journal of Cancer. 89(10). 1934–1939. 60 indexed citations
20.
Müller, Hannes, Reingard Aigner, Jörg H. Horina, et al.. (1998). Mild chronic anemia following heart transplantation: a syndrome with prognostic relevance?. Transplant International. 11(6). 413–418. 6 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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