Stephan Ossowski

28.3k citations
106 papers · 8.7k indexed · 5 hit papers · h-index 38

Stephan Ossowski

103 papers receiving 8.6k citations

Hit Papers

Whole-genome sequencing of multiple Arabidopsis thaliana ...68920062026201220192505007501000

Peers

Stephan Ossowski
Comparison fields: 5 of 162
  • Plant Science 5.3k
  • Molecular Biology 5.2k
  • Genetics 2.0k
  • Horticulture 38
  • Cancer Research 489
Replace Penelope Coggill with:
Penelope Coggill United States
Agnes P. Chan United States
Lorna Richardson United Kingdom
Junxiao Ren China
Fabian A. Buske Australia
Jason Miller United States
Christian J. Stoeckert United States
Ronan C. O’Malley United States
Luca Clementi United States
Fritz J. Sedlazeck United States
Stephan Ossowski relative to Penelope Coggill United States Penelope Coggill's profile →
Citations per field
00.5×1.5×1.9×
Penelope Coggill · 1×
Citations per year

Countries citing papers authored by Stephan Ossowski

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Ossowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20251
4 202411
5 202412
6 20232
7 20237
8 20233
9 20221
10 202115
11 202062
12 202039
13 202037
14 20194
15 201317
16 201315
17
The Rate and Molecular Spectrum of Spontaneous Mutations in Arabidopsis thalianabreakdown →
2009834
18 2008351
19
Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thalianabreakdown →
2007526
20
Highly Specific Gene Silencing by Artificial MicroRNAs in Arabidopsisbreakdown →
20061046

About Stephan Ossowski

Stephan Ossowski is a scholar working on Cancer Research, Genetics and Molecular Medicine, having authored 106 papers that have together received 8.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Chromosomal and Genetic Variations (16 papers), Genomics and Phylogenetic Studies (14 papers), Plant Molecular Biology Research (12 papers), Genomics and Rare Diseases (11 papers), Genomic variations and chromosomal abnormalities (10 papers), RNA and protein synthesis mechanisms (7 papers) and Genetic Neurodegenerative Diseases (6 papers). The work is most often cited by research in Plant Science (5.3k citations), Molecular Biology (5.2k citations) and Genetics (2.0k citations). Stephan Ossowski has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Detlef Weigel, Norman Warthmann, Rebecca Schwab, Korbinian Schneeberger, Richard M. Clark, Markus Riester, Christa Lanz, Jun Cao, Ruth G. Shaw and José Ignacio Lucas‐Lledó. Their work appears in journals such as PLoS ONE, Scientific Reports, Cancers, PLANT PHYSIOLOGY and Human Mutation.

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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