Lukas Flatz

7.5k total citations · 2 hit papers
102 papers, 4.0k citations indexed

About

Lukas Flatz is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Lukas Flatz has authored 102 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Oncology, 43 papers in Immunology and 28 papers in Molecular Biology. Recurrent topics in Lukas Flatz's work include Cancer Immunotherapy and Biomarkers (38 papers), Immunotherapy and Immune Responses (31 papers) and Cutaneous Melanoma Detection and Management (27 papers). Lukas Flatz is often cited by papers focused on Cancer Immunotherapy and Biomarkers (38 papers), Immunotherapy and Immune Responses (31 papers) and Cutaneous Melanoma Detection and Management (27 papers). Lukas Flatz collaborates with scholars based in Switzerland, Germany and United States. Lukas Flatz's co-authors include Stefan Diem, Martin Früh, Wolfram Jochum, Andreas Bergthaler, Daniel D. Pinschewer, Sabine Schmid, Arnoud J. Templeton, Diana Born, Omar Hasan Ali and David Bomze and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Lukas Flatz

94 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neutrophil-to-Lymphocyte ratio (NLR) and Platelet-to-Lymphocyte ratio (PLR) as prognostic markers in patients with non-small cell lung cancer (NSCLC) treated with nivolumab

2017 690 citations Stefan Diem, Sabine Schmid et al. profile →
STING activation of tumor endothelial cells initiates spontaneous and therapeutic antitumor immunity

2015 447 citations Lukas Flatz et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukas Flatz Switzerland	29	1.8k	1.6k	762	721	592	102	4.0k
Su‐Hyung Park South Korea	36	1.2k 0.7×	1.9k 1.2×	894 1.2×	818 1.1×	946 1.6×	116	4.2k
Günther Gastl Austria	38	1.3k 0.7×	1.2k 0.8×	729 1.0×	1.2k 1.7×	809 1.4×	137	4.3k
Gulfaraz Khan United Arab Emirates	28	2.1k 1.2×	631 0.4×	698 0.9×	837 1.2×	887 1.5×	81	3.8k
Wolfgang Herr Germany	34	1.6k 0.9×	2.1k 1.4×	259 0.3×	1.4k 2.0×	544 0.9×	187	4.2k
Imran Siddiqui United States	24	1.1k 0.6×	1.4k 0.9×	495 0.6×	477 0.7×	398 0.7×	76	2.8k
Dave Sprengers Netherlands	36	1.3k 0.7×	1.3k 0.8×	284 0.4×	659 0.9×	954 1.6×	101	3.5k
Phillip Scheinberg United States	41	1.3k 0.7×	2.5k 1.6×	628 0.8×	718 1.0×	774 1.3×	153	7.1k
Geoffrey Nichol United States	8	3.0k 1.6×	1.7k 1.1×	513 0.7×	778 1.1×	514 0.9×	11	4.3k
Duck Cho South Korea	29	1.0k 0.6×	1.3k 0.8×	635 0.8×	464 0.6×	370 0.6×	205	3.0k
Giovanni Barillari Italy	35	2.0k 1.1×	1.1k 0.7×	756 1.0×	1.5k 2.1×	1.2k 2.0×	141	6.0k

Countries citing papers authored by Lukas Flatz

Since Specialization

Citations

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

Fields of papers citing papers by Lukas Flatz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Flatz

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

Lallas, Konstantinos, Philipp Tschandl, Harald Kittler, et al.. (2025). Machine learning algorithms using dermatoscopy for the prediction of melanoma prognosis: A narrative review of the literature. SHILAP Revista de lepidopterología. 3. 100766–100766.

Schäffeler, Norbert, et al.. (2025). Psychosocial distress and persistent adverse events in long‐term survivors of stage IV melanoma – a cross‐sectional questionnaire study. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 23(7). 832–842. 1 indexed citations

Amaral, Teresa, Carola Berking, Thomas Eigentler, et al.. (2025). Hazard rates and implications for follow-up schedules of melanoma patients with 0.8–1.0 mm tumor thickness: An analysis of the German Central Malignant Melanoma Registry in 12,132 patients. SHILAP Revista de lepidopterología. 3. 100726–100726.

Forschner, Andrea, et al.. (2024). Response and outcome of patients with melanoma skin metastases and immune checkpoint inhibition. International Journal of Cancer. 156(1). 145–153. 4 indexed citations

Schroeder, Christopher, Sergios Gatidis, Olga Kelemen, et al.. (2024). Tumour-informed liquid biopsies to monitor advanced melanoma patients under immune checkpoint inhibition. Nature Communications. 15(1). 8750–8750. 12 indexed citations

Forchhammer, Stephan, Christian Seitz, Christopher Schroeder, et al.. (2024). Characterization of PRAME immunohistochemistry reveals lower expression in pediatric melanoma compared to adult melanoma. Pigment Cell & Melanoma Research. 37(4). 453–461. 3 indexed citations

Schwenck, Johannes, Dominik Sonanini, Walter Ehrlichmann, et al.. (2023). In vivo imaging of CD8⁺ T cells in metastatic cancer patients: first clinical experience with simultaneous [⁸⁹Zr]Zr-Df-IAB22M2C PET/MRI. Theranostics. 13(8). 2408–2423. 10 indexed citations

Forchhammer, Stephan, Tobias Sinnberg, Heike Niessner, et al.. (2023). Interim analysis of MelaRisk, a biomarker assay validation study in stage IB/IIA melanoma tissue.. Journal of Clinical Oncology. 41(16_suppl). e21591–e21591. 1 indexed citations

Klümper, Niklas, Fiamma Berner, Annkristin Heine, et al.. (2022). C reactive protein flare predicts response to checkpoint inhibitor treatment in non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 10(3). e004024–e004024. 53 indexed citations

10.

Ring, Sandra S., Jovana Cupovic, Lucas Onder, et al.. (2021). Viral vector-mediated reprogramming of the fibroblastic tumor stroma sustains curative melanoma treatment. Nature Communications. 12(1). 4734–4734. 21 indexed citations

11.

Serna-Higuita, Lina María, Teresa Amaral, Andrea Forschner, et al.. (2021). Association between Immune-Related Adverse Events and Survival in 319 Stage IV Melanoma Patients Treated with PD-1-Based Immunotherapy: An Approach Based on Clinical Chemistry. Cancers. 13(23). 6141–6141. 16 indexed citations

12.

Cupovic, Jovana, Sandra S. Ring, Lucas Onder, et al.. (2021). Adenovirus vector vaccination reprograms pulmonary fibroblastic niches to support protective inflating memory CD8+ T cells. Nature Immunology. 22(8). 1042–1051. 36 indexed citations

13.

Ali, Omar Hasan, David Bomze, Lorenz Risch, et al.. (2020). Severe Coronavirus Disease 2019 (COVID-19) is Associated With Elevated Serum Immunoglobulin (Ig) A and Antiphospholipid IgA Antibodies. Clinical Infectious Diseases. 73(9). e2869–e2874. 69 indexed citations

14.

Ring, Sandra S., Erika Schmidt, Omar Hasan Ali, et al.. (2020). Heterologous Prime Boost Vaccination Induces Protective Melanoma-Specific CD8+ T Cell Responses. Molecular Therapy — Oncolytics. 19. 179–187. 5 indexed citations

15.

Ali, Omar Hasan, Andrey A. Yurchenko, Olga Pavlova, et al.. (2020). Genomic profiling of late‐onset basal cell carcinomas from two brothers with nevoid basal cell carcinoma syndrome. Journal of the European Academy of Dermatology and Venereology. 35(2). 396–402. 2 indexed citations

16.

Diem, Stefan, Mirjam Fässler, Omar Hasan Ali, et al.. (2018). Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment. Cancer Management and Research. Volume 10. 5537–5544. 2 indexed citations

17.

Pinschewer, Daniel D., Lukas Flatz, Ralf Steinborn, et al.. (2010). Innate and adaptive immune control of genetically engineered live-attenuated arenavirus vaccine prototypes. International Immunology. 22(9). 749–756. 13 indexed citations

18.

Bergthaler, Andreas, Lukas Flatz, Admar Verschoor, et al.. (2009). Correction: Impaired Antibody Response Causes Persistence of Prototypic T Cell–Contained Virus. PLoS Biology. 7(8). 14 indexed citations

19.

Heikenwälder, Mathias, Marco Prinz, Nicolas Zeller, et al.. (2008). Overexpression of Lymphotoxin in T Cells Induces Fulminant Thymic Involution. American Journal Of Pathology. 172(6). 1555–1570. 21 indexed citations

20.

Navarini, Alexander A., Mike Recher, Karl S. Lang, et al.. (2006). Increased susceptibility to bacterial superinfection as a consequence of innate antiviral responses. Proceedings of the National Academy of Sciences. 103(42). 15535–15539. 114 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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