Lukas Peiffer

562 total citations
8 papers, 175 citations indexed

About

Lukas Peiffer is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Lukas Peiffer has authored 8 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Lukas Peiffer's work include CAR-T cell therapy research (3 papers), Fungal Infections and Studies (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Lukas Peiffer is often cited by papers focused on CAR-T cell therapy research (3 papers), Fungal Infections and Studies (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Lukas Peiffer collaborates with scholars based in Germany, Denmark and France. Lukas Peiffer's co-authors include Christina M. Stürzel, Massimo Pizzato, Martine Peeters, Dorota Kmieć, Gerald H. Learn, Beatrice H. Hahn, Jürgen C. Becker, Anke Heigele, Simon Langer and Frank Kirchhoff and has published in prestigious journals such as Clinical Cancer Research, Cell Host & Microbe and Frontiers in Oncology.

In The Last Decade

Lukas Peiffer

7 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukas Peiffer Germany	6	66	66	66	41	37	8	175
E. Lake Potter United States	6	122 1.8×	50 0.8×	80 1.2×	89 2.2×	31 0.8×	8	237
Rithun Mukherjee United States	6	55 0.8×	108 1.6×	61 0.9×	135 3.3×	52 1.4×	8	280
Bernard Levin United States	5	173 2.6×	100 1.5×	113 1.7×	81 2.0×	31 0.8×	6	283
Qibin Liao China	10	69 1.0×	26 0.4×	94 1.4×	99 2.4×	41 1.1×	14	244
Mónica L. Acevedo Chile	8	14 0.2×	16 0.2×	49 0.7×	77 1.9×	66 1.8×	17	188
Jara J. Joedicke Germany	8	168 2.5×	33 0.5×	80 1.2×	33 0.8×	6 0.2×	14	222
Mark M. Painter United States	7	155 2.3×	98 1.5×	74 1.1×	62 1.5×	91 2.5×	13	281
Thomas N. Denny United States	8	132 2.0×	70 1.1×	25 0.4×	76 1.9×	30 0.8×	11	226
Javier F. Morales United States	6	74 1.1×	47 0.7×	88 1.3×	50 1.2×	15 0.4×	6	157
Wendy Zhou Japan	9	166 2.5×	7 0.1×	52 0.8×	36 0.9×	27 0.7×	23	364

Countries citing papers authored by Lukas Peiffer

Since Specialization

Citations

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

Fields of papers citing papers by Lukas Peiffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Peiffer

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

All Works

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8 of 8 papers shown

Srinivas, Nalini, Lukas Peiffer, Terkild B. Buus, et al.. (2024). Single-cell RNA and T-cell receptor sequencing unveil mycosis fungoides heterogeneity and a possible gene signature. Frontiers in Oncology. 14. 1408614–1408614. 5 indexed citations

Srinivas, Nalini, Thibault Kervarrec, Étienne Coyaud, et al.. (2024). Merkel cell polyomavirus pan‐T antigen knockdown reduces cancer cell stemness and promotes neural differentiation independent of RB1. Journal of Medical Virology. 96(7). e29789–e29789.

Peiffer, Lukas, Thilo Gambichler, Terkild B. Buus, et al.. (2023). Phenotypic plasticity of malignant T cells in blood and skin of a Sézary syndrome patient revealed by single cell transcriptomics. Frontiers in Oncology. 13. 1090592–1090592. 2 indexed citations

Sproll, Christoph, et al.. (2023). Mesenchymal–epithelial transition in lymph node metastases of oral squamous cell carcinoma is accompanied by ZEB1 expression. Journal of Translational Medicine. 21(1). 267–267. 9 indexed citations

Peiffer, Lukas, Ashwin Sriram, Ivelina Spassova, et al.. (2020). BRAF and MEK inhibition in melanoma patients enables reprogramming of tumor infiltrating lymphocytes. Cancer Immunology Immunotherapy. 70(6). 1635–1647. 15 indexed citations

Spassova, Ivelina, Selma Ugurel, Patrick Terheyden, et al.. (2020). Predominance of Central Memory T Cells with High T-Cell Receptor Repertoire Diversity is Associated with Response to PD-1/PD-L1 Inhibition in Merkel Cell Carcinoma. Clinical Cancer Research. 26(9). 2257–2267. 52 indexed citations

Heigele, Anke, Dorota Kmieć, Simon Langer, et al.. (2016). The Potency of Nef-Mediated SERINC5 Antagonism Correlates with the Prevalence of Primate Lentiviruses in the Wild. Cell Host & Microbe. 20(3). 381–391. 74 indexed citations

Peiffer, Lukas, et al.. (2014). Trichostatin A effectively induces apoptosis in chronic lymphocytic leukemia cells via inhibition of Wnt signaling and histone deacetylation. Journal of Cancer Research and Clinical Oncology. 140(8). 1283–1293. 18 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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