Stefan Lechner

552 citations
9 papers · 376 · h-index 9

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Calcium signaling and nucleotide metabolism
    • Telomeres, Telomerase, and Senescence
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

Stefan Lechner

9 papers receiving 375 citations

Peers

Stefan Lechner
Comparison fields: 5 of 66
  • Physiology 50
  • Cell Biology 111
  • Physiology 115
  • Genetics 34
  • Epidemiology 107
Replace Mario Buono with:
Mario Buono United Kingdom
Cécile Debacker France
Omer Keinan Israel
Shlomit Boguslavsky Canada
Sonia Cordisco Italy
Roman Polishchuck Italy
James Kain Ching United States
Melanie Thelen Germany
Paola Cuccarolo Italy
Silvia Nerini Molteni Italy
Stefan Lechner relative to Mario Buono United Kingdom Mario Buono's profile →
Citations per field
00.5×3.6×
Mario Buono · 1×
Citations per year

Countries citing papers authored by Stefan Lechner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Lechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Lechner, 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 Stefan Lechner Line = papers co-authored together Stefan Lechner links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201789
2 201783
3 201366
4 201338
5 201034
6 201724
7 202217
8 202114
9 201811

About Stefan Lechner

Stefan Lechner is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Neurology, having authored 9 papers that have together received 376 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (2 papers), Microtubule and mitosis dynamics (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Adipose Tissue and Metabolism (2 papers), Cellular transport and secretion (2 papers), Neuroblastoma Research and Treatments (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Physiology (50 citations), Cell Biology (111 citations), Physiology (115 citations), Genetics (34 citations) and Epidemiology (107 citations). Stefan Lechner has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Monika Mattesich, Werner Zwerschke, Maria C. Mitterberger, Klaus Scheffzek, Theresia Dunzendorfer-Matt, Leopold Kremser, Lukas A. Huber, Barbara G. Fürnrohr, Mariana E. G. de Araújo and Herbert Lindner. Their work appears in journals such as The Journals of Gerontology Series A, Scientific Reports, Differentiation, Cells and Science.

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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