Stefan Küffer

1.5k total citations
47 papers, 861 citations indexed

About

Stefan Küffer is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Stefan Küffer has authored 47 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Oncology and 14 papers in Surgery. Recurrent topics in Stefan Küffer's work include Myasthenia Gravis and Thymoma (11 papers), Sarcoma Diagnosis and Treatment (8 papers) and Testicular diseases and treatments (6 papers). Stefan Küffer is often cited by papers focused on Myasthenia Gravis and Thymoma (11 papers), Sarcoma Diagnosis and Treatment (8 papers) and Testicular diseases and treatments (6 papers). Stefan Küffer collaborates with scholars based in Germany, United States and France. Stefan Küffer's co-authors include Philipp Ströbel, Alexander Marx, Christian Sauer, Djeda Belharazem, Christian Hallermann, Jörg T. Hartmann, Hanibal Bohnenberger, Peter Hohenberger, Katharina Mößinger and Kathrin Katenkamp and has published in prestigious journals such as Clinical Cancer Research, Journal of Bacteriology and Science Advances.

In The Last Decade

Stefan Küffer

43 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Küffer Germany 16 368 265 250 156 154 47 861
Brett N. Tomson United States 14 487 1.3× 825 3.1× 409 1.6× 204 1.3× 217 1.4× 17 1.4k
Kandelaria M. Rumilla United States 21 499 1.4× 339 1.3× 190 0.8× 278 1.8× 220 1.4× 38 1.2k
Nuno R. dos Santos Portugal 17 320 0.9× 558 2.1× 329 1.3× 165 1.1× 67 0.4× 31 1.1k
Brendan A.S. McIntyre Canada 18 84 0.2× 335 1.3× 192 0.8× 63 0.4× 140 0.9× 29 808
Rochelle A. Simon United States 14 157 0.4× 253 1.0× 157 0.6× 137 0.9× 121 0.8× 33 692
Alexander M. Truskinovsky United States 17 198 0.5× 235 0.9× 217 0.9× 94 0.6× 102 0.7× 48 848
Douglas L. Jicha United States 11 301 0.8× 170 0.6× 255 1.0× 62 0.4× 189 1.2× 14 806
José J. Navas‐Palacios Spain 17 222 0.6× 332 1.3× 240 1.0× 63 0.4× 122 0.8× 27 896
Mitsuhiro Fukata Japan 13 354 1.0× 440 1.7× 83 0.3× 123 0.8× 117 0.8× 54 1.3k
Stéphanie Meier Germany 14 314 0.9× 317 1.2× 250 1.0× 72 0.5× 191 1.2× 22 910

Countries citing papers authored by Stefan Küffer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Küffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Küffer

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Küffer. A scholar is included among the top collaborators of Stefan Küffer 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 Stefan Küffer. Stefan Küffer 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.
Küffer, Stefan, Lukas Klein, Christof Lenz, et al.. (2025). TP53 missense–specific transcriptional plasticity drives resistance against cell cycle inhibitors in pancreatic cancer. Science Advances. 11(27). eadu2339–eadu2339.
2.
Küffer, Stefan, et al.. (2024). Non-Mutational Key Features in the Biology of Thymomas. Cancers. 16(5). 942–942. 2 indexed citations
4.
Mačinković, Igor, Jens von der Grün, Stefan Küffer, et al.. (2024). Association between spatial distribution of leukocyte subsets and clinical presentation of head and neck squamous cell carcinoma. Laryngo-Rhino-Otologie. 103(S 02). S233–S233.
5.
Küffer, Stefan, Martin Leu, Alexander König, et al.. (2024). Effects of chemoradiotherapy on surface PD-L1 expression in esophageal cancer and its implications for immunotherapy. Frontiers in Immunology. 15. 1509051–1509051. 1 indexed citations
7.
Skowron, Margaretha A., Felix Bremmer, Annika Richter, et al.. (2023). Targeting CLDN6 in germ cell tumors by an antibody-drug-conjugate and studying therapy resistance of yolk-sac tumors to identify and screen specific therapeutic options. Molecular Medicine. 29(1). 8 indexed citations
8.
Li, Yuchan, Jochen Gaedcke, Cornelis F.M. Sier, et al.. (2023). Urokinase-Type Plasminogen Activator Receptor (uPAR) Cooperates with Mutated KRAS in Regulating Cellular Plasticity and Gemcitabine Response in Pancreatic Adenocarcinomas. Cancers. 15(5). 1587–1587. 9 indexed citations
9.
Ammer‐Herrmenau, Christoph, et al.. (2023). Dynamics of intestinal and intratumoral microbiome signatures in genetically engineered mice and human pancreatic ductal adenocarcinoma. Pancreatology. 23(6). 663–673. 6 indexed citations
11.
Küffer, Stefan, Satoru Okada, Stefan Welter, et al.. (2022). Phosphoproteomic Analysis Identifies TYRO3 as a Mediator of Sunitinib Resistance in Metastatic Thymomas. Cancers. 14(19). 4762–4762. 2 indexed citations
12.
Klein, Lukas, Florian Wegwitz, Elisa Espinet, et al.. (2022). Axon guidance receptor ROBO3 modulates subtype identity and prognosis via AXL-associated inflammatory network in pancreatic cancer. JCI Insight. 7(16). 5 indexed citations
13.
Li, Yuchan, Marc Hinterthaner, Bernhard C. Danner, et al.. (2022). Regulation and Therapeutic Targeting of MTHFD2 and EZH2 in KRAS-Mutated Human Pulmonary Adenocarcinoma. Metabolites. 12(7). 652–652. 7 indexed citations
14.
Richter, Annika, Stefan Kircher, Andreas Rosenwald, et al.. (2021). Primary mediastinal germ cell tumours: an immunohistochemical and molecular diagnostic approach. Histopathology. 80(2). 381–396. 16 indexed citations
15.
Richter, Annika, Nadine T. Gaisa, Stefan Schweyer, et al.. (2020). The detection of isochromosome i(12p) in malignant germ cell tumours and tumours with somatic malignant transformation by the use of quantitative real‐time polymerase chain reaction. Histopathology. 78(4). 593–606. 39 indexed citations
16.
Porubský, Štefan, Birgit Rudolph, Jens‐Carsten Rückert, et al.. (2019). EWSR1 translocation in primary hyalinising clear cell carcinoma of the thymus. Histopathology. 75(3). 431–436. 15 indexed citations
17.
Venkataramani, Vivek, Stefan Küffer, Kenneth Cheung, et al.. (2017). CD31 Expression Determines Redox Status and Chemoresistance in Human Angiosarcomas. Clinical Cancer Research. 24(2). 460–473. 37 indexed citations
18.
Hu, Bo, Katja Simon‐Keller, Stefan Küffer, et al.. (2015). Myf5 and Myogenin in the development of thymic myoid cells — Implications for a murine in vivo model of myasthenia gravis. Experimental Neurology. 277. 76–85. 9 indexed citations
19.
Kitz, Julia, Margret Rave‐Fränk, Stephan Lorenzen, et al.. (2015). High-grade acute organ toxicity and p16INK4A expression as positive prognostic factors in primary radio(chemo)therapy for patients with head and neck squamous cell carcinoma. Strahlentherapie und Onkologie. 191(7). 566–572. 17 indexed citations
20.
Srivastava, Prashant K., Stefan Küffer, Benedikt Brors, et al.. (2008). A cut-off based approach for gene expression analysis of formalin-fixed and paraffin-embedded tissue samples. Genomics. 91(6). 522–529. 13 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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