Lukas Maas

670 citations
6 papers · 92 · h-index 2

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques

Papers in

Lukas Maas

5 papers receiving 92 citations

Peers

Lukas Maas
Comparison fields: 5 of 33
  • Cancer Research 42
  • Molecular Biology 69
  • Immunology and Allergy 5
  • Health Informatics 1
  • Oncology 13
Replace Er-Yen Yen with:
Er-Yen Yen Taiwan
K. Knox United Kingdom
Jin‐Gyu Cheong United States
Luigi Perelli United States
Isabel Lacasa-Viscasillas Spain
Anne Menz Germany
Danxiu Li China
Annemieke De Wilde Belgium
Xianglin Zuo China
Zigong Shao China
Lukas Maas relative to Er-Yen Yen Taiwan Er-Yen Yen's profile →
Citations per field
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Er-Yen Yen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Lukas Maas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lukas Maas Line = papers co-authored together Lukas Maas links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202385
2 20194
3 20241
4
Heizkostenabrechnung mit DELPHI - Vertrauen ist gut - Kontrolle ist besser: Schüler studieren die Grundlagen der Heizkosten und erstellen eine Abrechnung in DELPHI 3.0.
20011
5 20211
6 20250

About Lukas Maas

Lukas Maas is a scholar working on Molecular Biology, Oncology, Cancer Research, Strategy and Management and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 92 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (1 paper), Lung Cancer Research Studies (1 paper), MicroRNA in disease regulation (1 paper), Viral-associated cancers and disorders (1 paper), Immunotherapy and Immune Responses (1 paper), Cancer Genomics and Diagnostics (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Corporate Governance and Management (1 paper). The work is most often cited by research in Cancer Research (42 citations), Molecular Biology (69 citations), Immunology and Allergy (5 citations), Health Informatics (1 citation) and Oncology (13 citations). Lukas Maas has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Annalen Bleckmann, Kerstin Menck, Scott Thiebes, Martin Peifer, Ali Sunyaev, Viktor Achter, Ulrich Lang, Petra Knaus, Birgit Gathof and Michael von Bergwelt‐Baildon. Their work appears in journals such as BMC Biology, Cancers, Cancer Research, BMC Bioinformatics and Oral Presentations.

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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