Szymon M. Kiełbasa
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 9
- Genomics and Phylogenetic Studies 7
- Muscle Physiology and Disorders 5
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 5
- Genetics top 5%
- Cancer Research top 10%
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 6
-
- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Martin C. FrithPaul HortonKengo SatoRaymond WanHanspeter HerzelMartin VingronKatarzyna BożekAchim Kramer
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Szymon M. Kiełbasa
71 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Aging 68
- Endocrine and Autonomic Systems 223
- Molecular Biology 1.5k
- Genetics 410
- Cancer Research 213
Countries citing papers authored by Szymon M. Kiełbasa
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
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
The 25 scholars most cited alongside Szymon M. Kiełbasa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 35 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 25 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 46 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 60 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 13 | |
| 16 | 2012 | 107 | |
| 17 | Adaptive seeds tame genomic sequence comparisonbreakdown → | 2011 | 853 |
| 18 | 2010 | 9 | |
| 19 | Genome-wide analysis of functions regulated by sets of transcription factors | 2004 | 2 |
| 20 | Finding Transcription Factor Binding Sites in Coregulated Genes by Exhaustive Sequence Search. | 2000 | 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), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Muscle Physiology and Disorders (5 papers), Gene expression and cancer classification (5 papers) and Bioinformatics and Genomic Networks (5 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 Blood, Frontiers in Immunology, Nucleic Acids Research, PLoS ONE and Bioinformatics.
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.