Pia Hönscheid

503 total citations
16 papers, 370 citations indexed

About

Pia Hönscheid is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pia Hönscheid has authored 16 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Pia Hönscheid's work include Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Prostate Cancer Treatment and Research (3 papers). Pia Hönscheid is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Prostate Cancer Treatment and Research (3 papers). Pia Hönscheid collaborates with scholars based in Germany, United States and Austria. Pia Hönscheid's co-authors include Kaustubh Datta, Michael H. Muders, Samikshan Dutta, Heyu Zhang, Gustavo Baretton, Alexey A. Leontovich, Frank A. Sinicrope, Donald J. Tindall, Surinder K. Batra and Hamid Band and has published in prestigious journals such as Cancer Research, Oncogene and Scientific Reports.

In The Last Decade

Pia Hönscheid

15 papers receiving 362 citations

Peers

Countries citing papers authored by Pia Hönscheid

Since Specialization

Citations

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

Fields of papers citing papers by Pia Hönscheid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia Hönscheid

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Enhancing mass spectrometry imaging accessibility using convolutional autoencoders for deriving hypoxia-associated peptides from tumors 2024 ·npj Systems Biology and Applications ·(unknown), Pia Hönscheid, (unknown), Christian Sperling, Ina Kurth, Michaël Baumann, Benedikt Brors	0
2	Advancing rare cancer research by MALDI mass spectrometry imaging: Applications, challenges, and future perspectives in sarcoma 2024 ·PROTEOMICS ·(unknown), (unknown), Pia Hönscheid, Cläre von Neubeck, Melanie Christine Föll	7
3	Targeting the glutamine metabolism to suppress cell proliferation in mesenchymal docetaxel-resistant prostate cancer 2024 ·Oncogene ·(unknown), (unknown), (unknown), (unknown), (unknown), Pia Hönscheid, Gustavo Baretton, Kevin E. Woods, Borhane Guezguez, Anna Dubrovska, Sascha D. Markowitsch, Christian Thomas, Martin Puhr, Holger H.H. Erb	8
4	Prostate Cancer’s Silent Partners: Fibroblasts and Their Influence on Glutamine Metabolism Manipulation 2024 ·International Journal of Molecular Sciences ·Pia Hönscheid, Gustavo Baretton, Martin Puhr, (unknown), (unknown), Matthias B. Stope, (unknown), (unknown), Christian Thomas, Holger H.H. Erb	3
5	A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer 2024 ·Molecular Medicine ·(unknown), Markus Kreuz, Angelika Borkowetz, Ulrich Sommer, Conny Blumert, S. Füssel, Catharina Bertram, Dennis Löffler, (unknown), (unknown), (unknown), Ulrike Köhl, (unknown), Pia Hönscheid, Gustavo Baretton, Manfred P. Wirth, Christian Thomas, Friedemann Horn, Kristin Reiche	2
6	Characterization and evaluation of gene fusions as a measure of genetic instability and disease prognosis in prostate cancer 2023 ·BMC Cancer ·(unknown), (unknown), S. Füssel, Dennis Löffler, Conny Blumert, Catharina Bertram, Angelika Borkowetz, (unknown), Sven-Holger Puppel, Pia Hönscheid, Ulrich Sommer, Gustavo Baretton, Ulrike Köhl, Manfred P. Wirth, Christian Thomas, Friedemann Horn, Markus Kreuz, Kristin Reiche	2
7	Influence of Systemic Therapy on the Expression and Activity of Selected STAT Proteins in Prostate Cancer Tissue 2022 ·Life ·(unknown), (unknown), Pia Hönscheid, Christian Sperling, Korinna Jöhrens, Gustavo Baretton, Christian Thomas, Ulrich Sommer, Angelika Borkowetz, Holger H.H. Erb	5
8	Orthotopic Glioblastoma Models for Evaluation of the Clinical Target Volume Concept 2022 ·Cancers ·Rebecca Bütof, Pia Hönscheid, (unknown), Christian Sperling, (unknown), (unknown), Antje Dietrich, Matthias Meinhardt, Daniela E. Aust, Mechthild Krause, Esther G.C. Troost	2
9	Automated detection of the HER2 gene amplification status in Fluorescence in situ hybridization images for the diagnostics of cancer tissues 2019 ·Scientific Reports ·Falk Zakrzewski, Walter de Back, Martin Weigert, Torsten Wenke, (unknown), (unknown), Christian Sperling, Katrin Friedrich, Ingo Roeder, Daniela E. Aust, Gustavo Baretton, Pia Hönscheid	37
10	Shotgun lipidomics-based characterization of the landscape of lipid metabolism in colorectal cancer 2019 ·Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids ·Yuting Wang, Sebastian Hinz, Ortrud Uckermann, Pia Hönscheid, Witigo von Schönfels, Greta Burmeister, Alexander Hendricks, Jacobo Miranda Ackerman, Gustavo Baretton, Jochen Hampe, Mario Brosch, Clemens Schafmayer, Andrej Shevchenko, Sebastian Zeißig	42
11	Neuropilin-2 Regulates Endosome Maturation and EGFR Trafficking to Support Cancer Cell Pathobiology 2015 ·Cancer Research ·Samikshan Dutta, Sohini Roy, (unknown), (unknown), Heyu Zhang, (unknown), Pia Hönscheid, Terrence M. Donohue, Hamid Band, Surinder K. Batra, Michael H. Muders, Kaustubh Datta	47
12	Autophagy: Detection, regulation and its role in cancer and therapy response 2014 ·International Journal of Radiation Biology ·Pia Hönscheid, Kaustubh Datta, Michael H. Muders	92
13	Progesterone, as well as 17β-estradiol, is important for regulating AHR battery homoeostasis in the rat uterus 2014 ·Archives of Toxicology ·Felicitas Rataj, Frank Möller, (unknown), Pia Hönscheid, Oliver Zierau, Günter Vollmer, Georg Kretzschmar	16
14	196 Neuropilin 2 (NRP2) modifies CXCL12/CXCR4 signaling and promotes lymph node metastases in colon cancer 2014 ·European Journal of Cancer ·Hannah Schneider, Pia Hönscheid, Sebastian Schölch, Christian Jakob, Michael H. Muders	1
15	Neuropilin-2 and its ligand VEGF-C predict treatment response after transurethral resection and radiochemotherapy in bladder cancer patients 2014 ·International Journal of Cancer ·Bastian Keck, Sven Wach, Helge Täubert, Steven R. Zeiler, Oliver J. Ott, Frank Kunath, Arndt Hartmann, Simone Bertz, (unknown), Pia Hönscheid, (unknown), Claus Rödel, Gustavo Baretton, Rolf Sauer, Rainer Fietkau, Bernd Wullich, (unknown), Kaustubh Datta, Michael H. Muders	33
16	Autophagy Control by the VEGF-C/NRP-2 Axis in Cancer and Its Implication for Treatment Resistance 2012 ·Cancer Research ·(unknown), Samikshan Dutta, Heyu Zhang, (unknown), Alexey A. Leontovich, Pia Hönscheid, Frank A. Sinicrope, Donald J. Tindall, Michael H. Muders, Kaustubh Datta	73

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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