Lukas Baitsch

2.0k total citations · 1 hit paper
13 papers, 1.5k citations indexed

About

Lukas Baitsch is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Lukas Baitsch has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Lukas Baitsch's work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (6 papers) and Immunotherapy and Immune Responses (5 papers). Lukas Baitsch is often cited by papers focused on Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (6 papers) and Immunotherapy and Immune Responses (5 papers). Lukas Baitsch collaborates with scholars based in Switzerland, United States and France. Lukas Baitsch's co-authors include Daniel E. Speiser, Amandine Legat, Nathalie Rufer, Petra Baumgaertner, Pedro Romero, Leticia Barba, Hanifa Bouzourène, Sébastien Wieckowski, Estelle Devêvre and Sunil K. Raghav and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Lukas Baitsch

13 papers receiving 1.4k 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.

Exhaustion of tumor-specific CD8+ T cells in metastases from melanoma patients

2011 650 citations Lukas Baitsch, Petra Baumgaertner et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukas Baitsch Switzerland	13	1.0k	935	385	108	68	13	1.5k
Heidi Ackerly Wallweber Switzerland	5	868 0.9×	840 0.9×	337 0.9×	78 0.7×	94 1.4×	6	1.3k
Lisa Cucolo United States	3	585 0.6×	668 0.7×	345 0.9×	104 1.0×	114 1.7×	4	1.0k
Michela Croce Italy	21	510 0.5×	490 0.5×	436 1.1×	184 1.7×	124 1.8×	47	1.2k
Monika Raab Germany	23	786 0.8×	440 0.5×	723 1.9×	169 1.6×	73 1.1×	38	1.7k
Earl Avramis United States	12	457 0.4×	711 0.8×	347 0.9×	62 0.6×	100 1.5×	15	986
Debra M. Hunter United States	19	677 0.7×	376 0.4×	538 1.4×	63 0.6×	65 1.0×	31	1.3k
Denarda Dangaj Laniti Switzerland	15	544 0.5×	703 0.8×	367 1.0×	186 1.7×	78 1.1×	31	1.1k
Boris Kovačic Austria	17	389 0.4×	692 0.7×	463 1.2×	153 1.4×	45 0.7×	25	1.4k
Carolyn Paradise United States	6	988 1.0×	1.3k 1.3×	608 1.6×	44 0.4×	96 1.4×	7	1.7k
Inge Verbrugge Netherlands	17	443 0.4×	621 0.7×	555 1.4×	122 1.1×	113 1.7×	23	1.1k

Countries citing papers authored by Lukas Baitsch

Since Specialization

Citations

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

Fields of papers citing papers by Lukas Baitsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Baitsch

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

All Works

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13 of 13 papers shown

Giordano, Marilyn, Julien Maurizio, Pierre Bourdely, et al.. (2015). Molecular profiling of CD 8 T cells in autochthonous melanoma identifies Maf as driver of exhaustion. The EMBO Journal. 34(15). 2042–2058. 95 indexed citations

Yuzugullu, Haluk, Lukas Baitsch, Thanh Von, et al.. (2015). A PI3K p110β–Rac signalling loop mediates Pten-loss-induced perturbation of haematopoiesis and leukaemogenesis. Nature Communications. 6(1). 8501–8501. 41 indexed citations

Wang, Yubao, Youngmi Lee, Lukas Baitsch, et al.. (2014). MELK is an oncogenic kinase essential for mitotic progression in basal-like breast cancer cells. eLife. 3. e01763–e01763. 95 indexed citations

Hebeisen, Michaël, Lukas Baitsch, Petra Baumgaertner, et al.. (2013). SHP-1 phosphatase activity counteracts increased T cell receptor affinity. Journal of Clinical Investigation. 123(3). 1044–1056. 99 indexed citations

Baitsch, Lukas, Amandine Legat, Leticia Barba, et al.. (2012). Extended Co-Expression of Inhibitory Receptors by Human CD8 T-Cells Depending on Differentiation, Antigen-Specificity and Anatomical Localization. PLoS ONE. 7(2). e30852–e30852. 141 indexed citations

Gupta, Bhawna, Emanuela M. Iancu, Philippe O. Gannon, et al.. (2012). Simultaneous Coexpression of Memory-related and Effector-related Genes by Individual Human CD8 T Cells Depends on Antigen Specificity and Differentiation. Journal of Immunotherapy. 35(6). 488–501. 17 indexed citations

Baitsch, Lukas, Silvia A. Fuertes Marraco, Amandine Legat, Christiane Meyer, & Daniel E. Speiser. (2012). The three main stumbling blocks for anticancer T cells. Trends in Immunology. 33(7). 364–372. 122 indexed citations

Baitsch, Lukas, Petra Baumgaertner, Estelle Devêvre, et al.. (2011). Exhaustion of tumor-specific CD8+ T cells in metastases from melanoma patients. Journal of Clinical Investigation. 121(6). 2350–2360. 650 indexed citations breakdown →

Jandus, Camilla, Jean‐Paul Rivals, Laurent Derré, et al.. (2011). Vaccination‐induced functional competence of circulating human tumor‐specific CD8 T‐cells. International Journal of Cancer. 130(11). 2607–2617. 43 indexed citations

10.

Salaun, Bruno, Takuya Yamamoto, Bassam Badran, et al.. (2011). Differentiation associated regulation of microRNA expression in vivo in human CD8+ T cell subsets. Journal of Translational Medicine. 9(1). 44–44. 58 indexed citations

11.

Speiser, Daniel E., Sébastien Wieckowski, Bhawna Gupta, et al.. (2011). Single cell analysis reveals similar functional competence of dominant and nondominant CD8 T-cell clonotypes. Proceedings of the National Academy of Sciences. 108(37). 15318–15323. 18 indexed citations

12.

Jandus, Camilla, Gilles Bioley, Danijel Dojcinovic, et al.. (2009). Tumor Antigen–Specific FOXP3+ CD4 T Cells Identified in Human Metastatic Melanoma: Peptide Vaccination Results in Selective Expansion of Th1-like Counterparts. Cancer Research. 69(20). 8085–8093. 34 indexed citations

13.

Hardegger, Leo A., Lukas Baitsch, W. Bernd Schweizer, et al.. (2009). New organofluorine building blocks: inhibition of the malarial aspartic proteases plasmepsin II and IV by alicyclic α,α-difluoroketone hydrates. Organic & Biomolecular Chemistry. 7(19). 3947–3947. 42 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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