Andreas Voß

848 total citations
33 papers, 587 citations indexed

About

Andreas Voß is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Andreas Voß has authored 33 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 10 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Andreas Voß's work include Cancer Genomics and Diagnostics (9 papers), Ovarian cancer diagnosis and treatment (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Andreas Voß is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Ovarian cancer diagnosis and treatment (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Andreas Voß collaborates with scholars based in Germany, United States and Australia. Andreas Voß's co-authors include Claus Kerkhoff, Zoran Gatalica, Sherri Z. Millis, Ryan Bender, Kurt S. Zänker, Kenneth Russell, Michael Friedländer, Karin Bornfeldt, Thomas Scholzen and Michelle M. Averill and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Andreas Voß

28 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Voß Germany 12 222 141 113 110 86 33 587
Davide Vacirca Italy 18 348 1.6× 244 1.7× 130 1.2× 171 1.6× 66 0.8× 45 1.1k
Bert Bier Germany 11 302 1.4× 232 1.6× 162 1.4× 126 1.1× 24 0.3× 21 690
Christian Wilhelm Germany 19 526 2.4× 171 1.2× 158 1.4× 99 0.9× 38 0.4× 56 1.2k
Zeynep Coban‐Akdemir United States 18 544 2.5× 51 0.4× 45 0.4× 86 0.8× 35 0.4× 50 965
Hidetaka Kawabata Japan 14 541 2.4× 277 2.0× 57 0.5× 182 1.7× 11 0.1× 49 978
Nijaguna B. Prasad United States 19 545 2.5× 430 3.0× 49 0.4× 202 1.8× 54 0.6× 25 1.2k
Qiu Tang China 15 265 1.2× 119 0.8× 25 0.2× 156 1.4× 35 0.4× 35 597
D. H. Rutgers Netherlands 12 248 1.1× 147 1.0× 23 0.2× 91 0.8× 22 0.3× 17 502
Chunbo Shao United States 22 786 3.5× 184 1.3× 83 0.7× 245 2.2× 43 0.5× 33 1.1k
Fumiko Saito-Ohara Japan 16 941 4.2× 437 3.1× 80 0.7× 222 2.0× 48 0.6× 27 1.3k

Countries citing papers authored by Andreas Voß

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Voß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Voß

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Voß. A scholar is included among the top collaborators of Andreas Voß 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 Andreas Voß. Andreas Voß 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.
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Metzner, Bernd, Thomas Müller, Jochen Casper, et al.. (2023). Long‐term outcome in patients with mantle cell lymphoma following high‐dose therapy and autologous stem cell transplantation. European Journal Of Haematology. 111(2). 220–228. 1 indexed citations
3.
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Metzner, Bernd, Thomas Müller, Jochen Casper, et al.. (2021). Long-term remissions in patients with early relapse of diffuse large B-cell lymphoma following high-dose chemotherapy, autologous stem cell transplantation, and radiotherapy of residual disease. Strahlentherapie und Onkologie. 198(1). 39–46. 3 indexed citations
5.
Janssens, Jaak, et al.. (2018). Preventive, predictive, and personalized medicine for effective and affordable cancer care. The EPMA Journal. 9(2). 113–123. 48 indexed citations
6.
Meagher, Nicola S., Andreas Voß, Timothy Budden, et al.. (2018). Does the primary site really matter? Profiling mucinous ovarian cancers of uncertain primary origin (MO-CUP) to personalise treatment and inform the design of clinical trials. Gynecologic Oncology. 150(3). 527–533. 10 indexed citations
7.
Arguello, David, Andreas Voß, Zoran Gatalica, & Ryan Bender. (2016). O.04: Profiling of MET-Amplified Non-Small Cell Lung Cancer (NSCLC), Correlation to cMET Protein Expression/MET Exon 14 Skipping. Journal of Thoracic Oncology. 11(10). S170–S170. 1 indexed citations
8.
Arguello, David, et al.. (2016). P2.08: Gene Fusions Detected in Non-Small Cell Lung Carcinoma (NSCLC) and Small Cell Lung Carcinoma (SCLC). Journal of Thoracic Oncology. 11(10). S221–S221. 1 indexed citations
9.
Friedländer, Michael, Kenneth Russell, Sherri Z. Millis, et al.. (2016). Molecular Profiling of Clear Cell Ovarian Cancers. International Journal of Gynecological Cancer. 26(4). 648–654. 67 indexed citations
10.
Seeber, Andreas, Guenther Gastl, Christian Ensinger, et al.. (2016). Treatment of patients with refractory metastatic cancer according to molecular profiling on tumor tissue in the clinical routine: an interim-analysis of the ONCO-T-PROFILE project. Genes & Cancer. 7(9-10). 301–308. 16 indexed citations
11.
Epelbaum, Ron, Einat Shacham‐Shmueli, Baruch Klein, et al.. (2015). Molecular Profiling-Selected Therapy for Treatment of Advanced Pancreaticobiliary Cancer: A Retrospective Multicenter Study. BioMed Research International. 2015. 1–9. 7 indexed citations
12.
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Bakir, Maise Al, Lei Wang, Kenneth Russell, et al.. (2014). Molecular analysis of non-epithelial ovarian cancer by histologic subtype.. Journal of Clinical Oncology. 32(15_suppl). 5570–5570.
14.
Manook, André, Behrooz H. Yousefi, Antje Willuweit, et al.. (2012). Small-Animal PET Imaging of Amyloid-Beta Plaques with [11C]PiB and Its Multi-Modal Validation in an APP/PS1 Mouse Model of Alzheimer's Disease. PLoS ONE. 7(3). e31310–e31310. 91 indexed citations
15.
Voß, Andreas, et al.. (2011). Double‐stranded RNA induces S100 gene expression by a cycloheximide‐sensitive factor. FEBS Letters. 586(2). 196–203. 14 indexed citations
16.
Voß, Andreas, et al.. (2011). Double-Stranded RNA Induces MMP-9 Gene Expression in HaCaT Keratinocytes by Tumor Necrosis Factor-α. Inflammation & Allergy - Drug Targets. 10(3). 171–179. 3 indexed citations
17.
Voß, Andreas, Günther Bode, Claudia Sopalla, et al.. (2010). Expression of S100A8/A9 in HaCaT keratinocytes alters the rate of cell proliferation and differentiation. FEBS Letters. 585(2). 440–446. 38 indexed citations
18.
Voß, Andreas & William R. Jarvis. (2001). Reuse of Single-Use Devices. Infection Control and Hospital Epidemiology. 22(1). 60–60.
19.
Aubele, Michaela, et al.. (1995). Different risk groups in node—negative breast cancer: Prognostic value of cytophotometrically assessed DNA, morphometry and texture. International Journal of Cancer. 63(1). 7–12. 17 indexed citations
20.
Aubele, Michaela, Gert Auer, Sture Falkmer, et al.. (1995). Improved prognostication in small (pT1) breast cancers by image cytometry. Breast Cancer Research and Treatment. 36(1). 83–91. 7 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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