Lukas Maas

625 total citations
5 papers, 81 citations indexed

About

Lukas Maas is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Lukas Maas has authored 5 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Lukas Maas's work include Cancer Genomics and Diagnostics (2 papers), Lung Cancer Research Studies (2 papers) and Extracellular vesicles in disease (1 paper). Lukas Maas is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Lung Cancer Research Studies (2 papers) and Extracellular vesicles in disease (1 paper). Lukas Maas collaborates with scholars based in Germany, United States and Spain. Lukas Maas's co-authors include Annalen Bleckmann, Kerstin Menck, Ulrich Lang, Viktor Achter, Scott Thiebes, Ali Sunyaev, Martin Peifer, Kerstin Wennhold, Rameez Jabeer Khan and Roman K. Thomas and has published in prestigious journals such as Cancer Research, BMC Bioinformatics and Cancers.

In The Last Decade

Lukas Maas

4 papers receiving 81 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukas Maas Germany 2 63 43 19 13 13 5 81
Dolores Gallardo Rincón Mexico 4 44 0.7× 36 0.8× 6 0.3× 6 0.5× 17 1.3× 8 74
Kyla Foster United States 5 41 0.7× 14 0.3× 14 0.7× 6 0.5× 32 2.5× 7 86
Hongyu Shi China 5 43 0.7× 14 0.3× 9 0.5× 8 0.6× 19 1.5× 11 71
Luigi Perelli Italy 5 59 0.9× 23 0.5× 12 0.6× 5 0.4× 12 0.9× 8 85
Mengxue Pan China 5 42 0.7× 17 0.4× 20 1.1× 14 1.1× 35 2.7× 6 96
Er-Yen Yen Taiwan 3 69 1.1× 55 1.3× 7 0.4× 6 0.5× 8 0.6× 4 82
Anne Menz Germany 4 44 0.7× 16 0.4× 5 0.3× 8 0.6× 18 1.4× 13 78
Howard Stotler United States 5 53 0.8× 24 0.6× 4 0.2× 6 0.5× 32 2.5× 10 80
Katherine Kirwin United States 4 85 1.3× 36 0.8× 15 0.8× 6 0.5× 14 1.1× 6 103
Adam Akkad United States 2 38 0.6× 14 0.3× 17 0.9× 6 0.5× 38 2.9× 4 77

Countries citing papers authored by Lukas Maas

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Maas

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

All Works

5 of 5 papers shown
1.
Jatzlau, Jerome, Su-Il Do, Rameez Jabeer Khan, et al.. (2025). Rare but specific: 5-bp composite motifs define SMAD binding in BMP signaling. BMC Biology. 23(1). 79–79.
2.
Maas, Lukas, Joshua D’Rozario, Laura Kaiser, et al.. (2024). Abstract 3986: Exploring nonsense-mediated decay inhibition as a novel approach to improve immunogenicity in small cell lung cancer. Cancer Research. 84(6_Supplement). 3986–3986. 1 indexed citations
3.
Maas, Lukas, et al.. (2023). Extracellular Vesicles in Liquid Biopsies as Biomarkers for Solid Tumors. Cancers. 15(4). 1307–1307. 75 indexed citations
4.
Thelen, Martin, Kerstin Wennhold, Birgit Gathof, et al.. (2021). 10.02 Genomic HLA homozygosity is frequent in esophageal adenocarcinoma and related to low immunogenicity. Oral Presentations. A1.2–A2. 1 indexed citations
5.
Maas, Lukas, Scott Thiebes, Ulrich Lang, et al.. (2019). iRODS metadata management for a cancer genome analysis workflow. BMC Bioinformatics. 20(1). 29–29. 4 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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