Phillip Stahl

1.4k total citations
22 papers, 870 citations indexed

About

Phillip Stahl is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Phillip Stahl has authored 22 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Phillip Stahl's work include Prostate Cancer Treatment and Research (6 papers), Gastric Cancer Management and Outcomes (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Phillip Stahl is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Gastric Cancer Management and Outcomes (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Phillip Stahl collaborates with scholars based in Germany, Switzerland and Saudi Arabia. Phillip Stahl's co-authors include Ronald Simon, Guido Sauter, Luigi Terracciano, F. Jänicke, Frederik Holst, Olaf Hellwinkel, Khawla S. Al‐Kuraya, Annette Lebeau, Christian Ruiz and Zeenath Jehan and has published in prestigious journals such as Nature Genetics, PLoS ONE and Cancer Research.

In The Last Decade

Phillip Stahl

20 papers receiving 854 citations

Peers

Phillip Stahl

ONCOL

PRM

GENET

NEPHR

Małgorzata Oczko‐Wojciechowska Poland

Vivian Negron United States

San-Jun Cai China

Sabine Zumstein-Mecker Switzerland

Habib Hamidi United States

Tomohiro Sakuma Japan

Emily K. Kleczko United States

Matthew Maurer United States

Xiaosheng Fang China

Clare Orange United Kingdom

Małgorzata Oczko‐Wojciechowska Poland

Phillip Stahl

690 ×1.7

265 ×1.0

ONCOL

210 ×0.9

PRM

155 ×0.8

GENET

20 ×0.1

NEPHR

Citations per year, relative to Phillip Stahl Phillip Stahl (= 1×) peers Małgorzata Oczko‐Wojciechowska

Countries citing papers authored by Phillip Stahl

Since Specialization

Citations

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

Fields of papers citing papers by Phillip Stahl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Stahl

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

Eckstein, Markus, Phillip Stahl, Julia Heinzelbecker, et al.. (2025). Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs. Journal of Cellular and Molecular Medicine. 29(3). e70361–e70361.

Langer, Frank, et al.. (2023). THSD7A Positivity Predicts Poor Survival and Is Linked to High FAK Expression and FGFR1-Wildtype in Female Patients with Squamous Cell Carcinoma of the Lung. International Journal of Molecular Sciences. 24(13). 10639–10639. 1 indexed citations

Saar, Matthias, et al.. (2023). SCARA5 Is Overexpressed in Prostate Cancer and Linked to Poor Prognosis. Diagnostics. 13(13). 2211–2211. 3 indexed citations

Saar, Matthias, et al.. (2023). THSD7A Positivity Is Associated with High Expression of FAK in Prostate Cancer. Diagnostics. 13(2). 221–221. 4 indexed citations

Hinsch, Andrea, Malte Buchholz, C. Everett Koop, et al.. (2017). MALDI imaging mass spectrometry reveals multiple clinically relevant masses in colorectal cancer using large‐scale tissue microarrays. Journal of Mass Spectrometry. 52(3). 165–173. 22 indexed citations

Hoxha, Elion, Laurence H. Beck, Thorsten Wiech, et al.. (2016). An Indirect Immunofluorescence Method Facilitates Detection of Thrombospondin Type 1 Domain–Containing 7A–Specific Antibodies in Membranous Nephropathy. Journal of the American Society of Nephrology. 28(2). 520–531. 152 indexed citations

Stahl, Phillip, Elion Hoxha, Thorsten Wiech, et al.. (2016). THSD7A expression in human cancer. Genes Chromosomes and Cancer. 56(4). 314–327. 49 indexed citations

Stahl, Phillip, Christina Koop, Ronald Simon, et al.. (2015). Determination of Tumor Heterogeneity in Colorectal Cancers Using Heterogeneity Tissue Microarrays. Pathology & Oncology Research. 21(4). 1183–1189. 4 indexed citations

Stahl, Phillip, Patrick Lebok, Asad Kutup, et al.. (2015). Heterogeneity of amplification of HER2, EGFR, CCND1 and MYC in gastric cancer. BMC Gastroenterology. 15(1). 7–7. 99 indexed citations

10.

Krohn, Antje, Martina Kluth, Lia Burkhardt, et al.. (2014). Heterogeneity and chronology of PTEN deletion and ERG fusion in prostate cancer. Modern Pathology. 27(12). 1612–1620. 53 indexed citations

11.

Steurer, Stefan, Christian Eichelberg, Michael Rink, et al.. (2014). MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype.. PubMed. 34(5). 2255–61. 31 indexed citations

12.

Krohn, Antje, Ronald Simon, Martina Kluth, et al.. (2013). Altered PTEN function caused by deletion or gene disruption is associated with poor prognosis in rectal but not in colon cancer. Human Pathology. 44(8). 1524–1533. 18 indexed citations

13.

Quaas, Alexander, Katharina von Loga, Marcel Kwiatkowski, et al.. (2013). MALDI imaging on large‐scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer. Histopathology. 63(4). 455–462. 21 indexed citations

14.

Burandt, Eike, Alexander Stein, Sarah Minner, et al.. (2013). Continuous tissue microarray based identification of cancers with homogeneous target expression for successful targeted therapy in clinical routine practice. Genes Chromosomes and Cancer. 53(3). 228–239. 6 indexed citations

15.

Tachezy, Michael, Hilke Zander, Andreas H. Marx, et al.. (2012). ALCAM (CD166) Expression and Serum Levels in Pancreatic Cancer. PLoS ONE. 7(6). e39018–e39018. 33 indexed citations

16.

Simon, Ronald, Antje Krohn, Matthias Reeh, et al.. (2012). PTEN deletion is rare but often homogeneous in gastric cancer. Journal of Clinical Pathology. 65(8). 693–698. 16 indexed citations

17.

Stahl, Phillip, Pierre Tennstedt, Sarah Minner, et al.. (2011). Y chromosome losses are exceedingly rare in prostate cancer and unrelated to patient age. The Prostate. 72(8). 898–903. 10 indexed citations

18.

Minner, Sarah, Phillip Stahl, Steffen Weikert, et al.. (2010). Y chromosome loss is a frequent early event in urothelial bladder cancer. Pathology. 42(4). 356–359. 43 indexed citations

19.

Holst, Frederik, Phillip Stahl, Olaf Hellwinkel, et al.. (2008). Reply to “ESR1 gene amplification in breast cancer: a common phenomenon?”. Nature Genetics. 40(7). 810–812. 16 indexed citations

20.

Holst, Frederik, Phillip Stahl, Christian Ruiz, et al.. (2007). Estrogen receptor alpha (ESR1) gene amplification is frequent in breast cancer. Nature Genetics. 39(5). 655–660. 286 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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