Johan Banér

2.6k total citations
17 papers, 1.8k citations indexed

About

Johan Banér is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Johan Banér has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Pediatrics, Perinatology and Child Health and 3 papers in Genetics. Recurrent topics in Johan Banér's work include Advanced biosensing and bioanalysis techniques (7 papers), Prenatal Screening and Diagnostics (5 papers) and Molecular Biology Techniques and Applications (4 papers). Johan Banér is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), Prenatal Screening and Diagnostics (5 papers) and Molecular Biology Techniques and Applications (4 papers). Johan Banér collaborates with scholars based in Sweden and United States. Johan Banér's co-authors include Mats Nilsson, Ulf Landegren, Maritha Mendel-Hartvig, Matthew Rabinowitz, Allison Ryan, Milena Banjevic, Fredrik A. Dahl, G. Gemelos, Ronald W. Davis and Mats Gullberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Johan Banér

17 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Banér Sweden 15 1.1k 506 398 386 192 17 1.8k
Reiner Schulz United Kingdom 22 1.2k 1.1× 339 0.7× 740 1.9× 24 0.1× 210 1.1× 41 2.0k
Michael T. Boyce-Jacino United States 14 804 0.7× 34 0.1× 512 1.3× 130 0.3× 37 0.2× 21 1.5k
Dan Y. Wu United States 5 653 0.6× 29 0.1× 185 0.5× 67 0.2× 58 0.3× 7 993
Ryan Tewhey United States 23 1.2k 1.1× 13 0.0× 561 1.4× 185 0.5× 325 1.7× 32 2.0k
Dominique Dreyer France 19 962 0.9× 30 0.1× 647 1.6× 32 0.1× 144 0.8× 23 2.0k
Jeremy D. Brown United Kingdom 18 1.4k 1.3× 27 0.1× 345 0.9× 34 0.1× 115 0.6× 35 1.8k
Michael M. Kaminski Germany 12 1.1k 1.0× 17 0.0× 79 0.2× 442 1.1× 158 0.8× 22 1.5k
Dubravka Drabek Netherlands 21 733 0.7× 30 0.1× 230 0.6× 69 0.2× 927 4.8× 35 1.8k
Gregory H. Leno United States 23 1.5k 1.4× 31 0.1× 357 0.9× 73 0.2× 34 0.2× 43 2.0k
Hideo Gotoh Japan 21 475 0.4× 103 0.2× 253 0.6× 14 0.0× 61 0.3× 43 1.2k

Countries citing papers authored by Johan Banér

Since Specialization
Citations

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

Fields of papers citing papers by Johan Banér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Banér

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Banér. A scholar is included among the top collaborators of Johan Banér 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 Johan Banér. Johan Banér is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ryan, Allison, Johan Banér, Zachary Demko, et al.. (2012). Informatics-based, highly accurate, noninvasive prenatal paternity testing. Genetics in Medicine. 15(6). 473–477. 28 indexed citations
2.
Zimmermann, Bernhard, Matthew D. Hill, G. Gemelos, et al.. (2012). Noninvasive prenatal aneuploidy testing of chromosomes 13, 18, 21, X, and Y, using targeted sequencing of polymorphic loci. Prenatal Diagnosis. 32(13). 1233–1241. 235 indexed citations
3.
Rabinowitz, Matthew, Allison Ryan, G. Gemelos, et al.. (2011). Origins and rates of aneuploidy in human blastomeres. Fertility and Sterility. 97(2). 395–401. 105 indexed citations
4.
Johnson, David S., G. Gemelos, Johan Banér, et al.. (2010). Preclinical validation of a microarray method for full molecular karyotyping of blastomeres in a 24-h protocol. Human Reproduction. 25(4). 1066–1075. 178 indexed citations
5.
Johnson, David S., Matthew Rabinowitz, Cengiz Cinnioğlu, et al.. (2008). Novel Technology for Simultaneous Reliable Measurement of Multiple Alleles And Copy Number Across 24 Chromosomes in Single Human Blastomeres. Fertility and Sterility. 89(4). S5–S5. 2 indexed citations
6.
Gyarmati, Péter, Tim Conze, Siamak Zohari, et al.. (2008). Simultaneous Genotyping of All Hemagglutinin and Neuraminidase Subtypes of Avian Influenza Viruses by Use of Padlock Probes. Journal of Clinical Microbiology. 46(5). 1747–1751. 26 indexed citations
7.
Banér, Johan, Péter Gyarmati, A. Yacoub, et al.. (2007). Microarray-based molecular detection of foot-and-mouth disease, vesicular stomatitis and swine vesicular disease viruses, using padlock probes. Journal of Virological Methods. 143(2). 200–206. 33 indexed citations
8.
Fredriksson, Simon, Johan Banér, Fredrik A. Dahl, et al.. (2007). Multiplex amplification of all coding sequences within 10 cancer genes by Gene-Collector. Nucleic Acids Research. 35(7). e47–e47. 52 indexed citations
9.
Banér, Johan, Per Marits, Mats Nilsson, Ola Winqvist, & Ulf Landegren. (2005). Analysis of T-Cell Receptor Vβ Gene Repertoires after Immune Stimulation and in Malignancy by Use of Padlock Probes and Microarrays. Clinical Chemistry. 51(4). 768–775. 21 indexed citations
10.
Landegren, Ulf, Edith Schallmeiner, Mats Nilsson, et al.. (2004). Molecular tools for a molecular medicine: analyzing genes, transcripts and proteins using padlock and proximity probes. Journal of Molecular Recognition. 17(3). 194–197. 26 indexed citations
11.
Dahl, Fredrik A., Johan Banér, Mats Gullberg, et al.. (2004). Circle-to-circle amplification for precise and sensitive DNA analysis. Proceedings of the National Academy of Sciences. 101(13). 4548–4553. 173 indexed citations
12.
Hardenbol, Paul, Johan Banér, Maneesh Jain, et al.. (2003). Multiplexed genotyping with sequence-tagged molecular inversion probes. Nature Biotechnology. 21(6). 673–678. 393 indexed citations
13.
Landegren, Ulf, Fredrik A. Dahl, Mats Nilsson, et al.. (2003). Padlock and proximity probes for in situ and array‐based analyses: tools for the post‐genomic era. Comparative and Functional Genomics. 4(5). 525–530. 14 indexed citations
14.
Banér, Johan. (2003). Parallel gene analysis with allele-specific padlock probes and tag microarrays. Nucleic Acids Research. 31(17). 103e–103. 72 indexed citations
15.
Nilsson, Mats, Johan Banér, Maritha Mendel-Hartvig, et al.. (2002). Making ends meet in genetic analysis using padlock probes. Human Mutation. 19(4). 410–415. 33 indexed citations
16.
Banér, Johan, et al.. (2001). More keys to padlock probes: mechanisms for high-throughput nucleic acid analysis. Current Opinion in Biotechnology. 12(1). 11–15. 35 indexed citations
17.
Banér, Johan, Mats Nilsson, Maritha Mendel-Hartvig, & Ulf Landegren. (1998). Signal amplification of padlock probes by rolling circle replication. Nucleic Acids Research. 26(22). 5073–5078. 406 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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