Ania Niewielska

1.7k citations
4 papers · 502 indexed · 1 hit paper · h-index 3
Topics
Distributed and Parallel Computing Systems (2 papers)Genomics and Phylogenetic Studies (2 papers)Scientific Computing and Data Management (2 papers)

In The Last Decade

Ania Niewielska

4 papers receiving 498 citations

Hit Papers

The EMBL-EBI Job Dispatcher sequence analysis tools frame...2024202620252024100200300400

Peers

Ania Niewielska
Comparison fields: 5 of 95
  • Molecular Biology 275
  • Plant Science 69
  • Genetics 45
  • Ecology 44
  • Epidemiology 43
Replace Jiyeon Park with:
Jiyeon Park South Korea
Brian V. Tsu United States
Marco Salgado Sweden
Oskar Bruning Netherlands
Aron Hennerdal Sweden
Olivier Langella France
István Reményi Hungary
Christoph Bausch United States
Irene S. Tan United States
Ania Niewielska relative to Jiyeon Park South Korea Jiyeon Park's profile →
Citations per field
00.5×10×16×
Jiyeon Park · 1×
Citations per year

Countries citing papers authored by Ania Niewielska

Since Specialization
Citations

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

Fields of papers citing papers by Ania Niewielska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ania Niewielska

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1
The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024breakdown →
491
2 8
3 2
4 1

About Ania Niewielska

Ania Niewielska is a scholar working on Information Systems and Management, Management Information Systems and Computer Networks and Communications, having authored 4 papers that have together received 502 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Genomics and Phylogenetic Studies (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Horticulture (4 citations), Molecular Biology (275 citations) and Endocrinology (16 citations). Ania Niewielska has collaborated with scholars based in United Kingdom, Spain and Netherlands. Frequent co-authors include Fábio Madeira, Joon Lee, Nandana Madhusoodanan, Rodrigo López, Sarah Butcher, Adrian R. Tivey, Stuart Meacham, Stian Soiland‐Reyes, Pau Andrio and R. E. Long. Their work appears in journals such as Nucleic Acids Research, Current Protocols and Data Intelligence.

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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