Szymon M. Kiełbasa

8.6k citations
73 papers · 2.6k indexed · 1 hit paper · h-index 25
Topics
Genomics and Chromatin Dynamics (9 papers)Genomics and Phylogenetic Studies (7 papers)Immune Cell Function and Interaction (6 papers)

In The Last Decade

Szymon M. Kiełbasa

71 papers receiving 2.5k citations

Hit Papers

Adaptive seeds tame genomic sequence comparison20112026201620212011250500750

Peers

Szymon M. Kiełbasa
Comparison fields: 5 of 138
  • Molecular Biology 1.5k
  • Genetics 410
  • Plant Science 389
  • Physiology 262
  • Immunology 227
Replace Peter Woolf with:
Peter Woolf United States
Keith C. Cheng United States
Dorothea Busse Germany
Kornelie Frech Germany
Reiko Kikuno Japan
Uku Raudvere Estonia
Wensheng Li China
Ivan Kuzmin Estonia
Anne E. Kwitek United States
John R. Lamb United States
Szymon M. Kiełbasa relative to Peter Woolf United States Peter Woolf's profile →
Citations per field
00.5×1.5×2.2×
Peter Woolf · 1×
Citations per year

Countries citing papers authored by Szymon M. Kiełbasa

Since Specialization
Citations

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

Fields of papers citing papers by Szymon M. Kiełbasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szymon M. Kiełbasa. 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 Szymon M. Kiełbasa. The network helps show where Szymon M. Kiełbasa may publish in the future.

Co-authorship network of co-authors of Szymon M. Kiełbasa

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 35
4 6
5 1
6 24
7 38
8 25
9 12
10 46
11 6
12 60
13 1
14 2
15 13
16 107
17
Adaptive seeds tame genomic sequence comparisonbreakdown →
853
18 9
19
Genome-wide analysis of functions regulated by sets of transcription factors
2
20
Finding Transcription Factor Binding Sites in Coregulated Genes by Exhaustive Sequence Search.
1

About Szymon M. Kiełbasa

Szymon M. Kiełbasa is a scholar working on Molecular Biology, Aging and Internal Medicine, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Genomics and Phylogenetic Studies (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Aging (68 citations), Endocrine and Autonomic Systems (223 citations) and Molecular Biology (1.5k citations). Szymon M. Kiełbasa has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Martin C. Frith, Paul Horton, Kengo Sato, Raymond Wan, Hanspeter Herzel, Martin Vingron, Katarzyna Bożek, Achim Kramer, Angela Relógio and Christof Dame. Their work appears in journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.

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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