Szymon M. Kiełbasa

8.6k total citations · 1 hit paper
73 papers, 2.6k citations indexed

About

Szymon M. Kiełbasa is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Szymon M. Kiełbasa has authored 73 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 10 papers in Immunology and 7 papers in Physiology. Recurrent topics in Szymon M. Kiełbasa's work include Genomics and Chromatin Dynamics (9 papers), Genomics and Phylogenetic Studies (7 papers) and Immune Cell Function and Interaction (6 papers). Szymon M. Kiełbasa is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Genomics and Phylogenetic Studies (7 papers) and Immune Cell Function and Interaction (6 papers). Szymon M. Kiełbasa collaborates with scholars based in Netherlands, Germany and United States. Szymon M. Kiełbasa's co-authors include Raymond Wan, Martin C. Frith, Paul Horton, Kengo Sato, Hanspeter Herzel, Martin Vingron, Katarzyna Bożek, Achim Kramer, Angela Relógio and Hailiang Mei and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.

In The Last Decade

Szymon M. Kiełbasa

71 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adaptive seeds tame genomic sequence comparison

2011 853 citations Szymon M. Kiełbasa, Raymond Wan et al. Genome Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Szymon M. Kiełbasa Netherlands	25	1.5k	410	389	262	227	73	2.6k
Robert H. Podolsky United States	33	1.1k 0.7×	636 1.6×	321 0.8×	168 0.6×	248 1.1×	108	3.0k
Peter Woolf United States	19	1.7k 1.1×	195 0.5×	526 1.4×	251 1.0×	233 1.0×	41	2.8k
Danielle Thierry‐Mieg United States	22	2.0k 1.3×	284 0.7×	307 0.8×	191 0.7×	377 1.7×	33	2.9k
Stephanie E. Mohr United States	34	2.9k 1.9×	532 1.3×	317 0.8×	193 0.7×	369 1.6×	75	3.8k
John I. Murray United States	30	3.6k 2.4×	354 0.9×	222 0.6×	332 1.3×	239 1.1×	57	5.0k
Michael Finney United States	18	1.7k 1.1×	503 1.2×	169 0.4×	178 0.7×	292 1.3×	33	2.7k
Yana Bromberg United States	28	2.5k 1.7×	1.1k 2.8×	231 0.6×	138 0.5×	154 0.7×	74	3.6k
Ignasi Forné Germany	30	2.2k 1.5×	262 0.6×	183 0.5×	197 0.8×	262 1.2×	101	3.0k
Ken Sato Japan	40	3.2k 2.1×	484 1.2×	334 0.9×	439 1.7×	207 0.9×	125	4.9k
Nicola Neretti United States	32	2.5k 1.6×	291 0.7×	605 1.6×	728 2.8×	376 1.7×	74	3.7k

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

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20 of 20 papers shown

Voskamp, Astrid, Tamar Tak, Roberta Menafra, et al.. (2023). Inflammatory and tolerogenic myeloid cells determine outcome following human allergen challenge. The Journal of Experimental Medicine. 220(9). 4 indexed citations

Bergen, Cornelis A.M. van, Susan L. Kloet, Edwin Quinten, et al.. (2023). Acquisition of a glycosylated B-cell receptor drives follicular lymphoma toward a dark zone phenotype. Blood Advances. 7(19). 5812–5816. 3 indexed citations

Cordes, Martijn, Kirsten Canté-Barrett, Erik B. van den Akker, et al.. (2022). Single-cell immune profiling reveals thymus-seeding populations, T cell commitment, and multilineage development in the human thymus. Science Immunology. 7(77). eade0182–eade0182. 35 indexed citations

Laghmani, El Houari, Szymon M. Kiełbasa, Hailiang Mei, et al.. (2022). Tumor‐expressed microRNAs associated with venous thromboembolism in colorectal cancer. Research and Practice in Thrombosis and Haemostasis. 6(5). e12749–e12749. 6 indexed citations

Buurstede, Jacobus C., Lisa T. C. M. van Weert, Paola Colucci, et al.. (2021). Hippocampal glucocorticoid target genes associated with enhancement of memory consolidation. European Journal of Neuroscience. 55(9-10). 2666–2683. 24 indexed citations

Sluijter, Marjolein, Gregor Sturm, Pornpimol Charoentong, et al.. (2021). NKG2A is a late immune checkpoint on CD8 T cells and marks repeated stimulation and cell division. International Journal of Cancer. 150(4). 688–704. 38 indexed citations

Dijk, Elon H. C. van, Szymon M. Kiełbasa, Hailiang Mei, et al.. (2021). The Cortisol Response of Male and Female Choroidal Endothelial Cells: Implications for Central Serous Chorioretinopathy. The Journal of Clinical Endocrinology & Metabolism. 107(2). 512–524. 15 indexed citations

Koning, Marvyn T., Edwin Quinten, Willem H. Zoutman, et al.. (2019). Acquired N-Linked Glycosylation Motifs in B-Cell Receptors of Primary Cutaneous B-Cell Lymphoma and the Normal B-Cell Repertoire. Journal of Investigative Dermatology. 139(10). 2195–2203. 12 indexed citations

Jadhav, Bharati, Ramin Monajemi, Kristina Gagalova, et al.. (2019). RNA-Seq in 296 phased trios provides a high-resolution map of genomic imprinting. BMC Biology. 17(1). 50–50. 22 indexed citations

10.

Li, Yihao, Chao Cui, Feng Xie, et al.. (2019). VprBP mitigates TGF-β and Activin signaling by promoting Smurf1-mediated type I receptor degradation. Journal of Molecular Cell Biology. 12(2). 138–151. 12 indexed citations

11.

Koorneef, Lisa L., José K. van den Heuvel, Jan Kroon, et al.. (2018). Selective glucocorticoid receptor modulation prevents and reverses non-alcoholic fatty liver disease in male mice. Endocrinology. 159(12). 3925–3936. 46 indexed citations

12.

Rovito, Roberta, Hans-Jörg Warnatz, Szymon M. Kiełbasa, et al.. (2018). Impact of congenital cytomegalovirus infection on transcriptomes from archived dried blood spots in relation to long-term clinical outcome. PLoS ONE. 13(7). e0200652–e0200652. 6 indexed citations

13.

Arindrarto, Wibowo, Daniel Borràs, M. Willy Honders, et al.. (2017). Fusion Transcripts without Corresponding Cytogenetic Abnormalities in Acute Myeloid Leukemia: Implications for AML Pathogenesis. Blood. 130. 2703–2703. 2 indexed citations

14.

Bergen, Cornelis A.M. van, et al.. (2017). The Mutation Landscape of Follicular Lymphoma and Chronic Lymphocytic Leukemia Reveals a Distinctive Frequency and Composition of Aid-Related Mutation Signatures. Blood. 130. 2741–2741. 1 indexed citations

15.

Pont, Margot J., Edith D. van der Meijden, Cornelis A.M. van Bergen, et al.. (2016). Integrated Whole Genome and Transcriptome Analysis Identified a Therapeutic Minor Histocompatibility Antigen in a Splice Variant of ITGB2. Clinical Cancer Research. 22(16). 4185–4196. 13 indexed citations

16.

Kiełbasa, Szymon M., Raymond Wan, Kengo Sato, Paul Horton, & Martin C. Frith. (2011). Adaptive seeds tame genomic sequence comparison. Genome Research. 21(3). 487–493. 853 indexed citations breakdown →

17.

Kiełbasa, Szymon M. & Martin Vingron. (2008). Transcriptional Autoregulatory Loops Are Highly Conserved in Vertebrate Evolution. PLoS ONE. 3(9). e3210–e3210. 29 indexed citations

18.

Kiełbasa, Szymon M., Didier Gonze, & Hanspeter Herzel. (2005). Measuring similarities between transcription factor binding sites. BMC Bioinformatics. 6(1). 237–237. 52 indexed citations

19.

Kiełbasa, Szymon M., Nils Blüthgen, & Hanspeter Herzel. (2004). Genome-wide analysis of functions regulated by sets of transcription factors. 105–113. 2 indexed citations

20.

Kiełbasa, Szymon M., Jan O. Korbel, Dieter Beule, Johannes Schuchhardt, & Hanspeter Herzel. (2000). Finding Transcription Factor Binding Sites in Coregulated Genes by Exhaustive Sequence Search.. 55–62. 1 indexed citations

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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