Bengt Sennblad

15.8k total citations
33 papers, 1.1k citations indexed

About

Bengt Sennblad is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Bengt Sennblad has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Genetics and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Bengt Sennblad's work include Genomics and Phylogenetic Studies (16 papers), Genetic diversity and population structure (11 papers) and Plant Diversity and Evolution (9 papers). Bengt Sennblad is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Genetic diversity and population structure (11 papers) and Plant Diversity and Evolution (9 papers). Bengt Sennblad collaborates with scholars based in Sweden, France and United Kingdom. Bengt Sennblad's co-authors include Jens Lagergren, Birgitta Bremer, Lars Arvestad, Örjan Åkerborg, J. Sjöstrand, Mary E. Endress, Tom Britton, Martin Linder, Mark W. Chase and Laure Civeyrel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Bengt Sennblad

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bengt Sennblad Sweden 19 842 434 404 303 89 33 1.1k
Youngbae Suh South Korea 16 655 0.8× 638 1.5× 157 0.4× 323 1.1× 35 0.4× 34 1.1k
Manpreet S. Katari United States 23 759 0.9× 156 0.4× 143 0.4× 1.2k 3.9× 26 0.3× 36 1.6k
Monica Accerbi United States 14 588 0.7× 59 0.1× 226 0.6× 1.1k 3.6× 75 0.8× 17 1.4k
Hajime Ohyanagi Japan 10 519 0.6× 48 0.1× 176 0.4× 562 1.9× 56 0.6× 18 890
Lenka Záveská Drábková Czechia 18 494 0.6× 382 0.9× 130 0.3× 586 1.9× 7 0.1× 37 998
Ryuji Ishikawa Japan 20 544 0.6× 74 0.2× 448 1.1× 1.1k 3.6× 41 0.5× 85 1.4k
Juan Caballero-Pérez Mexico 19 489 0.6× 36 0.1× 200 0.5× 465 1.5× 31 0.3× 50 1.1k
Richard Kostriken United States 13 783 0.9× 59 0.1× 192 0.5× 108 0.4× 43 0.5× 14 933
Yabing Zhu China 11 274 0.3× 91 0.2× 86 0.2× 109 0.4× 46 0.5× 16 630
Marianne Barrier United States 12 405 0.5× 177 0.4× 213 0.5× 146 0.5× 16 0.2× 14 687

Countries citing papers authored by Bengt Sennblad

Since Specialization
Citations

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

Fields of papers citing papers by Bengt Sennblad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bengt Sennblad

This figure shows the co-authorship network connecting the top 25 collaborators of Bengt Sennblad. A scholar is included among the top collaborators of Bengt Sennblad 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 Bengt Sennblad. Bengt Sennblad 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
1.
Grujčić, Vesna, Sami Saarenpää, John Sundh, et al.. (2024). Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton. PLoS ONE. 19(1). e0296672–e0296672. 2 indexed citations
2.
Bonomi, Alice, Fabrizio Veglia, Damiano Baldassarre, et al.. (2020). Analysis of the genetic variants associated with circulating levels of sgp130. Results from the IMPROVE study. Genes and Immunity. 21(2). 100–108. 9 indexed citations
3.
Hård, Joanna, Åsa K. Björklund, Bengt Sennblad, et al.. (2019). Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing. Genome biology. 20(1). 68–68. 17 indexed citations
4.
Frånberg, Mattias, Rona J. Strawbridge, Anders Hamsten, et al.. (2017). Fast and general tests of genetic interaction for genome-wide association studies. PLoS Computational Biology. 13(6). e1005556–e1005556.
5.
Sjöstrand, J., Ali Asghar Tofigh, Vincent Daubin, et al.. (2014). A Bayesian Method for Analyzing Lateral Gene Transfer. Systematic Biology. 63(3). 409–420. 51 indexed citations
6.
Sjöstrand, J., Lars Arvestad, Jens Lagergren, & Bengt Sennblad. (2013). GenPhyloData: realistic simulation of gene family evolution. BMC Bioinformatics. 14(1). 209–209. 29 indexed citations
7.
Iglesias, María Jesús, Olof Emanuelsson, Bengt Sennblad, et al.. (2012). Correction: Combined Chromatin and Expression Analysis Reveals Specific Regulatory Mechanisms within Cytokine Genes in the Macrophage Early Immune Response. PLoS ONE. 7(4). 1 indexed citations
8.
Iglesias, María Jesús, Olof Emanuelsson, Bengt Sennblad, et al.. (2012). Combined Chromatin and Expression Analysis Reveals Specific Regulatory Mechanisms within Cytokine Genes in the Macrophage Early Immune Response. PLoS ONE. 7(2). e32306–e32306. 18 indexed citations
9.
Linder, Martin, Tom Britton, & Bengt Sennblad. (2011). Evaluation of Bayesian Models of Substitution Rate Evolution—Parental Guidance versus Mutual Independence. Systematic Biology. 60(3). 329–342. 35 indexed citations
10.
Tofigh, Ali Asghar, et al.. (2009). Detecting LGTs using a novel probabilistic modelintegrating duplications, LGTs, losses, rate variation,and sequence evolution. Archives of Gynecology and Obstetrics. 286(3). 633–6. 4 indexed citations
11.
Arvestad, Lars, Jens Lagergren, & Bengt Sennblad. (2009). The gene evolution model and computing its associated probabilities. Journal of the ACM. 56(2). 1–44. 55 indexed citations
12.
Åkerborg, Örjan, Bengt Sennblad, & Jens Lagergren. (2008). Birth-death prior on phylogeny and speed dating. BMC Evolutionary Biology. 8(1). 77–77. 19 indexed citations
13.
Endress, Mary E., R.W.J.M. van der Ham, Siwert Nilsson, et al.. (2007). A PHYLOGENETIC ANALYSIS OF ALYXIEAE (APOCYNACEAE) BASED ONRBCL,MATK,TRNL INTRON,TRNL-F SPACER SEQUENCES, AND MORPHOLOGICAL CHARACTERS1. Annals of the Missouri Botanical Garden. 94(1). 1–35. 16 indexed citations
14.
Sennblad, Bengt, et al.. (2007). primetv: a viewer for reconciled trees. BMC Bioinformatics. 8(1). 148–148. 18 indexed citations
15.
McCarthy, Shane, Salim Mottagui‐Tabar, Yumi Mizuno, et al.. (2005). Complex HTR2C linkage disequilibrium and promoter associations with body mass index and serum leptin. Human Genetics. 117(6). 545–557. 30 indexed citations
16.
Arvestad, Lars, et al.. (2003). Bayesian gene/species tree reconciliationand orthology analysis using MCMC. Bioinformatics. 19(suppl_1). i7–i15. 120 indexed citations
17.
Sennblad, Bengt & Birgitta Bremer. (2002). Classification of Apocynaceae s.1. According to a New Approach Combining Linnaean and Phylogenetic Taxonomy. Systematic Biology. 51(3). 389–409. 73 indexed citations
18.
Sennblad, Bengt & Birgitta Bremer. (2000). Is There a Justification for Differential a Priori Weighting in Coding Sequences? A Case Study from rbcL and Apocynaceae s.l.. Systematic Biology. 49(1). 101–113. 44 indexed citations
19.
Sennblad, Bengt, Mary E. Endress, & Birgitta Bremer. (1998). Morphology and molecular data in phylogenetic fraternity: the tribe wrightieae (Apocynaceae) revisited. American Journal of Botany. 85(8). 1143–1158. 45 indexed citations
20.
Sennblad, Bengt & Birgitta Bremer. (1996). The familial and subfamilial relationships ofApocynaceae andAsclepiadaceae evaluated withrbcL data. Plant Systematics and Evolution. 202(3-4). 153–175. 95 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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