Alexander Muckenhuber

1.6k total citations
33 papers, 695 citations indexed

About

Alexander Muckenhuber is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Alexander Muckenhuber has authored 33 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 11 papers in Cancer Research and 8 papers in Molecular Biology. Recurrent topics in Alexander Muckenhuber's work include Pancreatic and Hepatic Oncology Research (16 papers), Cancer Genomics and Diagnostics (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Alexander Muckenhuber is often cited by papers focused on Pancreatic and Hepatic Oncology Research (16 papers), Cancer Genomics and Diagnostics (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Alexander Muckenhuber collaborates with scholars based in Germany, United Kingdom and Türkiye. Alexander Muckenhuber's co-authors include Wilko Weichert, Albrecht Stenzinger, Volker Endris, Moritz Jesinghaus, Roland Penzel, Arne Warth, Björn Konukiewitz, Katja Steiger, Peter Schirmacher and Güralp O. Ceyhan and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Frontiers in Immunology.

In The Last Decade

Alexander Muckenhuber

31 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Muckenhuber Germany 16 427 233 146 131 121 33 695
Elisabeth G. Klompenhouwer Netherlands 16 287 0.7× 200 0.9× 208 1.4× 202 1.5× 67 0.6× 42 672
Marilin Rosa United States 16 345 0.8× 281 1.2× 135 0.9× 166 1.3× 103 0.9× 92 890
Penny J. Barnes Canada 18 349 0.8× 288 1.2× 178 1.2× 120 0.9× 105 0.9× 45 874
Rouzan G. Karabakhtsian United States 13 180 0.4× 181 0.8× 117 0.8× 115 0.9× 139 1.1× 34 599
Mauro Saieg Brazil 16 246 0.6× 177 0.8× 324 2.2× 236 1.8× 131 1.1× 60 778
Donatella Gambini Italy 16 300 0.7× 147 0.6× 170 1.2× 86 0.7× 102 0.8× 48 611
Sajid Mushtaq Pakistan 13 237 0.6× 83 0.4× 133 0.9× 92 0.7× 58 0.5× 86 602
Huabin Hu China 14 491 1.1× 88 0.4× 203 1.4× 171 1.3× 156 1.3× 68 751
Jacob R. Bledsoe United States 13 339 0.8× 72 0.3× 101 0.7× 206 1.6× 129 1.1× 47 731
Amir Momeni Boroujeni United States 14 154 0.4× 109 0.5× 185 1.3× 95 0.7× 132 1.1× 53 633

Countries citing papers authored by Alexander Muckenhuber

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Muckenhuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Muckenhuber

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Muckenhuber. A scholar is included among the top collaborators of Alexander Muckenhuber 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 Alexander Muckenhuber. Alexander Muckenhuber 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.
Haas, Anette, Mohid S. Khan, Azar Kazemi, et al.. (2025). An equivalency and efficiency study for one year digital pathology for clinical routine diagnostics in an accredited tertiary academic center. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 487(1). 3–12. 3 indexed citations
2.
Fischer, Maximilian, Peter Neher, Peter J. Schüffler, et al.. (2025). Unlocking the potential of digital pathology: Novel baselines for compression. Journal of Pathology Informatics. 17. 100421–100421.
3.
Sinn, Marianne, Uwe Pelzer, Hanno Riess, et al.. (2024). KRT81 and HNF1A expression in pancreatic ductal adenocarcinoma: investigation of predictive and prognostic value of immunohistochemistry‐based subtyping. The Journal of Pathology Clinical Research. 10(3). e12377–e12377. 1 indexed citations
4.
Metzenmacher, Martin, Marija Trajkovic‐Arsic, Phyllis F. Cheung, et al.. (2024). Minimally invasive determination of pancreatic ductal adenocarcinoma ( PDAC ) subtype by means of circulating cell‐free RNA. Molecular Oncology. 19(2). 357–376. 2 indexed citations
5.
Jäger, Carsten, Julie Périnel, Ilaria Pergolini, et al.. (2024). Lymph node examination and survival in resected pancreatic ductal adenocarcinoma: retrospective study. BJS Open. 8(1). 1 indexed citations
6.
Sommer, Ulrich, Alexander Muckenhuber, Katja Steiger, et al.. (2024). Neoadjuvant chemotherapy is associated with suppression of the B cell-centered immune landscape in pancreatic ductal adenocarcinoma. Frontiers in Immunology. 15. 1378190–1378190. 6 indexed citations
7.
Gesundheit, Benjamin, et al.. (2023). Oncolytic virotherapy for metastatic breast cancer – a case report. Frontiers in Oncology. 13. 1186888–1186888. 1 indexed citations
8.
Kukačka, Jan, Stephan Metz, Christoph Dehner, et al.. (2022). Image processing improvements afford second-generation handheld optoacoustic imaging of breast cancer patients. Photoacoustics. 26. 100343–100343. 25 indexed citations
9.
Lange, Sebastian, H. Carlo Maurer, Kenneth P. Olive, et al.. (2021). PALLD mutation in a European family conveys a stromal predisposition for familial pancreatic cancer. JCI Insight. 6(8). 7 indexed citations
10.
Harder, F, Friederike Jungmann, Georgios Kaissis, et al.. (2021). [18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma. EJNMMI Research. 11(1). 70–70. 15 indexed citations
11.
Gong, Weiwei, Yueyang Liu, Marion Kiechle, et al.. (2020). Prognostic value of kallikrein-related peptidase 12 (KLK12) mRNA expression in triple-negative breast cancer patients. Molecular Medicine. 26(1). 19–19. 6 indexed citations
12.
Kaissis, Georgios, Friederike Jungmann, Sebastian Ziegelmayer, et al.. (2020). Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters. Journal of Clinical Medicine. 9(5). 1250–1250. 16 indexed citations
13.
Reyes, Carmen Mota, Steffen Teller, Alexander Muckenhuber, et al.. (2019). Neoadjuvant Therapy Remodels the Pancreatic Cancer Microenvironment via Depletion of Protumorigenic Immune Cells. Clinical Cancer Research. 26(1). 220–231. 62 indexed citations
14.
Kaissis, Georgios, Sebastian Ziegelmayer, Fabian Lohöfer, et al.. (2019). A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy. PLoS ONE. 14(10). e0218642–e0218642. 53 indexed citations
15.
Muckenhuber, Alexander, Anne Berger, Anna Melissa Schlitter, et al.. (2017). Pancreatic Ductal Adenocarcinoma Subtyping Using the Biomarkers Hepatocyte Nuclear Factor-1A and Cytokeratin-81 Correlates with Outcome and Treatment Response. Clinical Cancer Research. 24(2). 351–359. 61 indexed citations
16.
Schlitter, Anna Melissa, Moritz Jesinghaus, Carsten Jäger, et al.. (2017). pT but not pN stage of the 8th TNM classification significantly improves prognostication in pancreatic ductal adenocarcinoma. European Journal of Cancer. 84. 121–129. 51 indexed citations
17.
Muckenhuber, Alexander, Marlène Thomas, Gabriele Hölzlwimmer, et al.. (2016). Profiling of cMET and HER Family Receptor Expression in Pancreatic Ductal Adenocarcinomas and Corresponding Lymph Node Metastasis to Assess Relevant Pathways for Targeted Therapies. Pancreas. 45(8). 1167–1174. 3 indexed citations
18.
Jesinghaus, Moritz, Thomas Wolf, Nicole Pfarr, et al.. (2015). Distinctive Spatiotemporal Stability of Somatic Mutations in Metastasized Microsatellite-stable Colorectal Cancer. The American Journal of Surgical Pathology. 39(8). 1140–1147. 33 indexed citations
19.
Kamphues, Carsten, Marcus Bahra, Frederick Klauschen, et al.. (2014). Ataxia-telangiectasia–Mutated Protein Kinase Levels Stratify Patients With Pancreatic Adenocarcinoma Into Prognostic Subgroups With Loss Being a Strong Indicator of Poor Survival. Pancreas. 44(2). 296–301. 10 indexed citations
20.
Stenzinger, Albrecht, Johannes Nemeth, Frederick Klauschen, et al.. (2012). Visceral leishmaniasis in a patient with AIDS: early pathological diagnosis using conventional histology, PCR and electron microscopy is the key for adequate treatment. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 460(3). 357–360. 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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