Sven Bergmann

41.4k total citations · 4 hit papers
105 papers, 7.3k citations indexed

About

Sven Bergmann is a scholar working on Molecular Biology, Genetics and Nuclear and High Energy Physics. According to data from OpenAlex, Sven Bergmann has authored 105 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 19 papers in Genetics and 10 papers in Nuclear and High Energy Physics. Recurrent topics in Sven Bergmann's work include Bioinformatics and Genomic Networks (16 papers), Genetic Associations and Epidemiology (14 papers) and Gene expression and cancer classification (11 papers). Sven Bergmann is often cited by papers focused on Bioinformatics and Genomic Networks (16 papers), Genetic Associations and Epidemiology (14 papers) and Gene expression and cancer classification (11 papers). Sven Bergmann collaborates with scholars based in Switzerland, United States and Israel. Sven Bergmann's co-authors include Naama Barkai, Jan Ihmels, Zoltán Kutalik, Judith Berman, J. Beckmann, Micha Hersch, Gilgi Friedlander, Yaniv Ziv, Ofer Sarig and Toby Johnson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sven Bergmann

105 papers receiving 7.1k citations

Hit Papers

Genes mirror geography within Europe 2002 2026 2010 2018 2008 2011 2002 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Bergmann Switzerland 41 4.2k 1.9k 719 400 389 105 7.3k
Avi Mayo Israel 40 2.8k 0.7× 972 0.5× 183 0.3× 589 1.5× 233 0.6× 90 5.9k
Kazuhiko Kume Japan 43 3.3k 0.8× 1.1k 0.6× 1.3k 1.8× 447 1.1× 211 0.5× 149 9.5k
William K. Scott United States 49 3.3k 0.8× 1.1k 0.6× 215 0.3× 241 0.6× 397 1.0× 211 10.1k
James R. Williamson United States 67 13.8k 3.3× 2.0k 1.0× 568 0.8× 179 0.4× 68 0.2× 251 17.0k
Iouri Chepelev United States 23 6.1k 1.4× 1.1k 0.6× 577 0.8× 113 0.3× 265 0.7× 41 7.2k
Chris Fields United States 28 2.4k 0.6× 450 0.2× 731 1.0× 157 0.4× 440 1.1× 185 4.7k
Montserrat Robles Spain 33 2.0k 0.5× 533 0.3× 1.3k 1.7× 193 0.5× 61 0.2× 102 8.0k
Thomas Manke Germany 40 9.0k 2.1× 1.4k 0.7× 2.2k 3.1× 380 0.9× 813 2.1× 92 11.9k
Günter Krämer Germany 51 5.3k 1.3× 1.2k 0.6× 161 0.2× 615 1.5× 68 0.2× 266 8.2k
Susan M. Fischer United States 61 4.8k 1.1× 1.5k 0.8× 337 0.5× 785 2.0× 236 0.6× 276 10.8k

Countries citing papers authored by Sven Bergmann

Since Specialization
Citations

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

Fields of papers citing papers by Sven Bergmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Bergmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Bergmann. A scholar is included among the top collaborators of Sven Bergmann 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 Sven Bergmann. Sven Bergmann 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.
Brümmer, Anneke & Sven Bergmann. (2024). Disentangling genetic effects on transcriptional and post-transcriptional gene regulation through integrating exon and intron expression QTLs. Nature Communications. 15(1). 3786–3786. 1 indexed citations
2.
Hoogewoud, Florence, Bart Liefers, David M. Presby, et al.. (2024). Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases. Nature Communications. 15(1). 9593–9593. 6 indexed citations
3.
Tomasoni, Mattia, Ninon Mounier, Eleonora Porcu, et al.. (2023). Genome-wide Association Studies of Retinal Vessel Tortuosity Identify Numerous Novel Loci Revealing Genes and Pathways Associated With Ocular and Cardiometabolic Diseases. SHILAP Revista de lepidopterología. 3(3). 100288–100288. 12 indexed citations
4.
Tomasoni, Mattia, Sergio Gómez, Jake Crawford, et al.. (2020). MONET : a toolbox integrating top-performing methods for network modularization. Bioinformatics. 36(12). 3920–3921. 12 indexed citations
5.
Amir-Zilberstein, Liat, Micha Hersch, Shahar Taiber, et al.. (2020). Mechanical forces drive ordered patterning of hair cells in the mammalian inner ear. Nature Communications. 11(1). 5137–5137. 40 indexed citations
6.
Rueedi, Rico, Roger Mallol, Johannes Raffler, et al.. (2017). Metabomatching: Using genetic association to identify metabolites in proton NMR spectroscopy. PLoS Computational Biology. 13(12). e1005839–e1005839. 13 indexed citations
7.
Lamparter, David, Daniel Marbach, Rico Rueedi, Zoltán Kutalik, & Sven Bergmann. (2016). Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics. PLoS Computational Biology. 12(1). e1004714–e1004714. 180 indexed citations
8.
Hersch, Micha, Séverine Lorrain, Mieke de Wit, et al.. (2014). Light intensity modulates the regulatory network of the shade avoidance response in Arabidopsis. Proceedings of the National Academy of Sciences. 111(17). 6515–6520. 115 indexed citations
9.
Jacquemont, Sébastien, Bradley P. Coe, Micha Hersch, et al.. (2014). A Higher Mutational Burden in Females Supports a “Female Protective Model” in Neurodevelopmental Disorders. The American Journal of Human Genetics. 94(3). 415–425. 375 indexed citations breakdown →
10.
Pyrowolakis, George, et al.. (2013). Manipulating the Sensitivity of Signal-Induced Repression: Quantification and Consequences of Altered Brinker Gradients. PLoS ONE. 8(8). e71224–e71224. 6 indexed citations
11.
Hohm, Tim, et al.. (2013). Defining the Site of Light Perception and Initiation of Phototropism in Arabidopsis. Current Biology. 23(19). 1934–1938. 39 indexed citations
12.
Kami, Chitose, Micha Hersch, Martine Trévisan, et al.. (2012). Nuclear Phytochrome A Signaling Promotes Phototropism in Arabidopsis. The Plant Cell. 24(2). 566–576. 47 indexed citations
13.
Marek, Diana, Stéphanie Papin, Kim Ellefsen, et al.. (2012). Carriers of the fragile X mental retardation 1 (FMR1) premutation allele present with increased levels of cytokine IL-10. Journal of Neuroinflammation. 9(1). 238–238. 17 indexed citations
14.
Demarsy, Emilie, Isabelle Schepens, Koji Okajima, et al.. (2012). Phytochrome Kinase Substrate 4 is phosphorylated by the phototropin 1 photoreceptor. The EMBO Journal. 31(16). 3457–3467. 77 indexed citations
15.
Guessous, Idris, Maria Dobrinas, Zoltán Kutalik, et al.. (2012). Caffeine intake and CYP1A2 variants associated with high caffeine intake protect non-smokers from hypertension. Human Molecular Genetics. 21(14). 3283–3292. 48 indexed citations
16.
Libert, Sergiy, Kelli B. Pointer, Eric L. Bell, et al.. (2011). SIRT1 Activates MAO-A in the Brain to Mediate Anxiety and Exploratory Drive. Cell. 147(7). 1459–1472. 196 indexed citations
17.
Marques‐Vidal, Pedro, Murielle Bochud, Fred Paccaud, et al.. (2010). No interaction between alcohol consumption and HDL-related genes on HDL cholesterol levels. Atherosclerosis. 211(2). 551–557. 21 indexed citations
18.
Kutalik, Zoltán, J. Beckmann, & Sven Bergmann. (2008). A modular approach for integrative analysis of large-scale gene-expression and drug-response data. Nature Biotechnology. 26(5). 531–539. 91 indexed citations
19.
Breuer, Stefan, et al.. (2006). Set-up of a Unit-Selection Synthesis with a Prominent Voice. Language Resources and Evaluation. 293–296. 4 indexed citations
20.
Ihmels, Jan, Sven Bergmann, Maryam Gerami‐Nejad, et al.. (2005). Rewiring of the Yeast Transcriptional Network Through the Evolution of Motif Usage. Science. 309(5736). 938–940. 221 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026