Fredrik Vannberg

16.1k total citations
43 papers, 2.2k citations indexed

About

Fredrik Vannberg is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Fredrik Vannberg has authored 43 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 13 papers in Epidemiology. Recurrent topics in Fredrik Vannberg's work include HIV Research and Treatment (8 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (6 papers). Fredrik Vannberg is often cited by papers focused on HIV Research and Treatment (8 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (6 papers). Fredrik Vannberg collaborates with scholars based in United States, United Kingdom and Gambia. Fredrik Vannberg's co-authors include Adrian V. S. Hill, S. Jonathan Chapman, Swetha Srinivasan, J. Brandon Dixon, Francesca Storici, John F. McDonald, Cai Huang, Max Essex, Benjamin P. Fairfax and Julian C. Knight and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fredrik Vannberg

43 papers receiving 2.2k citations

Peers

Fredrik Vannberg
Leiliang Zhang China
Maryanne Vahey United States
Kenneth A. Matreyek United States
Arianna Calistri Italy
Alessia Ruggieri Germany
Stephen Griffin United Kingdom
Michael Winkler Germany
Xiaodong Xiao United States
Toru Okamoto Japan
Peter F. Moore United States
Leiliang Zhang China
Fredrik Vannberg
Citations per year, relative to Fredrik Vannberg Fredrik Vannberg (= 1×) peers Leiliang Zhang

Countries citing papers authored by Fredrik Vannberg

Since Specialization
Citations

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

Fields of papers citing papers by Fredrik Vannberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Vannberg

This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Vannberg. A scholar is included among the top collaborators of Fredrik Vannberg 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 Fredrik Vannberg. Fredrik Vannberg 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.
Zhao, Yuehui, Lijiang Long, Jason Wan, et al.. (2020). A spontaneous complex structural variant in rcan-1 increases exploratory behavior and laboratory fitness of Caenorhabditis elegans. PLoS Genetics. 16(2). e1008606–e1008606. 10 indexed citations
2.
Yang, Taehwan, Gary P. Newnam, Havva Keskin, et al.. (2020). Ribonucleotide incorporation in yeast genomic DNA shows preference for cytosine and guanosine preceded by deoxyadenosine. Nature Communications. 11(1). 2447–2447. 21 indexed citations
3.
Knyazev, Sergey, et al.. (2020). Using earth mover’s distance for viral outbreak investigations. BMC Genomics. 21(S5). 582–582. 8 indexed citations
4.
Huang, Cai, Lilya V. Matyunina, Laura McDonald, et al.. (2018). Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy. Scientific Reports. 8(1). 16444–16444. 125 indexed citations
5.
Audano, Peter A., et al.. (2017). Mapping-free variant calling using haplotype reconstruction from k-mer frequencies. Bioinformatics. 34(10). 1659–1665. 18 indexed citations
6.
Huang, Cai, Roman Mezencev, John F. McDonald, & Fredrik Vannberg. (2017). Open source machine-learning algorithms for the prediction of optimal cancer drug therapies. PLoS ONE. 12(10). e0186906–e0186906. 84 indexed citations
7.
Vannberg, Fredrik, et al.. (2016). Ligation of RNA Oligomers by the Schistosoma mansoni Hammerhead Ribozyme in Frozen Solution. Journal of Molecular Evolution. 82(2-3). 81–92. 8 indexed citations
8.
Grossman, Sharon R., Kristian G. Andersen, Ilya Shlyakhter, et al.. (2013). Identifying Recent Adaptations in Large-Scale Genomic Data. Cell. 152(4). 703–713. 228 indexed citations
9.
Sirugo, Giorgio, Digna R. Velez Edwards, Kelli K. Ryckman, et al.. (2012). PTX3 Genetic Variation and Dizygotic Twinning in The Gambia: Could Pleiotropy with Innate Immunity Explain Common Dizygotic Twinning in Africa?. Annals of Human Genetics. 76(6). 454–463. 10 indexed citations
10.
Fairfax, Benjamin P., Seiko Makino, Jayachandran Radhakrishnan, et al.. (2012). Genetics of gene expression in primary immune cells identifies cell type–specific master regulators and roles of HLA alleles. Nature Genetics. 44(5). 502–510. 309 indexed citations
11.
Khor, Chiea Chuen, et al.. (2010). CISH and Susceptibility to Infectious Diseases REPLY. New England Journal of Medicine. 363. 1676–1677. 4 indexed citations
12.
Kubarenko, Andriy V., Satish Ranjan, Anna Rautanen, et al.. (2010). A Naturally Occurring Variant in Human TLR9, P99L, Is Associated with Loss of CpG Oligonucleotide Responsiveness. Journal of Biological Chemistry. 285(47). 36486–36494. 25 indexed citations
13.
Fairfax, Benjamin P., Fredrik Vannberg, Jayachandran Radhakrishnan, et al.. (2009). An integrated expression phenotype mapping approach defines common variants in LEP, ALOX15 and CAPNS1 associated with induction of IL-6. Human Molecular Genetics. 19(4). 720–730. 23 indexed citations
14.
Chapman, S. Jonathan, Chiea Chuen Khor, Fredrik Vannberg, et al.. (2009). NFKBIZ polymorphisms and susceptibility to pneumococcal disease in European and African populations. Genes and Immunity. 11(4). 319–325. 27 indexed citations
15.
Chapman, S. Jonathan, Chiea Chuen Khor, Fredrik Vannberg, et al.. (2007). IκB Genetic Polymorphisms and Invasive Pneumococcal Disease. American Journal of Respiratory and Critical Care Medicine. 176(2). 181–187. 62 indexed citations
16.
Chapman, S. Jonathan, Fredrik Vannberg, Chiea Chuen Khor, et al.. (2007). Functional polymorphisms in the FCN2 gene are not associated with invasive pneumococcal disease. Molecular Immunology. 44(12). 3267–3270. 37 indexed citations
17.
Novitsky, Vladimir, J. Roberto Trujillo, Javier Ramos‐Jiménez, et al.. (2001). The Molecular Epidemiology of HIV Type 1 of Men in Mexico. AIDS Research and Human Retroviruses. 17(1). 87–92. 10 indexed citations
18.
Novitsky, Vladimir, Sarah Gaolekwe, Mary Fran McLane, et al.. (2000). Sequence Note: HIV Type 1 A/J Recombinant with a Pronounced pol Gene Mosaicism. AIDS Research and Human Retroviruses. 16(10). 1015–1020. 18 indexed citations
19.
Rivera-Marrero, Carlos A., et al.. (1998). Identification of genes differentially expressed inMycobacterium tuberculosisby differential display PCR. Microbial Pathogenesis. 25(6). 307–316. 32 indexed citations
20.
Renjifo, Boris, Beth Chaplin, Davis Mwakagile, et al.. (1998). Sequence Note : Epidemic Expansion of HIV Type 1 Subtype C and Recombinant Genotypes in Tanzania. AIDS Research and Human Retroviruses. 14(7). 635–638. 68 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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