Robert Sjöback

4.5k total citations · 3 hit papers
27 papers, 3.5k citations indexed

About

Robert Sjöback is a scholar working on Molecular Biology, Ecology and Cancer Research. According to data from OpenAlex, Robert Sjöback has authored 27 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Cancer Research. Recurrent topics in Robert Sjöback's work include Molecular Biology Techniques and Applications (11 papers), Advanced biosensing and bioanalysis techniques (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). Robert Sjöback is often cited by papers focused on Molecular Biology Techniques and Applications (11 papers), Advanced biosensing and bioanalysis techniques (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). Robert Sjöback collaborates with scholars based in Sweden, Czechia and Germany. Robert Sjöback's co-authors include Mikael Kubista, Jan Nygren, Björn Sjögreen, Amin Forootan, Anders Ståhlberg, Linda Strömbom, Neven Zoric, Martin Bengtsson, Radek Šindelka and J.M. Andrade and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Robert Sjöback

27 papers receiving 3.4k citations

Hit Papers

The real-time polymerase chain reaction 1995 2026 2005 2015 2006 1995 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Sjöback Sweden 18 1.8k 543 443 279 277 27 3.5k
Jörg Stetefeld Canada 34 3.2k 1.8× 406 0.7× 583 1.3× 266 1.0× 265 1.0× 118 5.4k
Stephen Yue United States 17 2.0k 1.1× 586 1.1× 267 0.6× 153 0.5× 261 0.9× 25 3.5k
Victoria L. Singer United States 20 2.0k 1.1× 452 0.8× 230 0.5× 170 0.6× 222 0.8× 29 3.1k
Nan Dai United States 33 2.2k 1.2× 225 0.4× 507 1.1× 220 0.8× 249 0.9× 101 3.6k
Olivier Lambert France 39 2.8k 1.6× 501 0.9× 631 1.4× 119 0.4× 310 1.1× 123 4.7k
Bin Xia China 44 2.6k 1.5× 372 0.7× 839 1.9× 89 0.3× 366 1.3× 182 5.1k
F. Collart United States 34 3.1k 1.8× 279 0.5× 482 1.1× 183 0.7× 312 1.1× 99 4.3k
Bernadette Byrne United Kingdom 35 3.6k 2.0× 257 0.5× 388 0.9× 182 0.7× 134 0.5× 134 5.3k
Trushar R. Patel Canada 29 1.7k 1.0× 370 0.7× 440 1.0× 212 0.8× 98 0.4× 108 3.5k
Zhiping Zhang China 38 2.4k 1.4× 805 1.5× 455 1.0× 93 0.3× 552 2.0× 164 4.7k

Countries citing papers authored by Robert Sjöback

Since Specialization
Citations

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

Fields of papers citing papers by Robert Sjöback

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Sjöback

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Sjöback. A scholar is included among the top collaborators of Robert Sjöback 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 Robert Sjöback. Robert Sjöback 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.
Jonsson, Annie, et al.. (2020). Transcriptional and biochemical biomarker responses in a freshwater mussel (Anodonta anatina) under environmentally relevant Cu exposure. Environmental Science and Pollution Research. 27(9). 9999–10010. 8 indexed citations
3.
Dagher, Georges, Karl‐Friedrich Becker, Serena Bonin, et al.. (2019). Pre-analytical processes in medical diagnostics: New regulatory requirements and standards. New Biotechnology. 52. 121–125. 30 indexed citations
4.
Forootan, Amin, et al.. (2017). Methods to determine limit of detection and limit of quantification in quantitative real-time PCR (qPCR). SHILAP Revista de lepidopterología. 12. 1–6. 387 indexed citations breakdown →
5.
Edimiris, Philippos, Paweł Mach, Mikael Kubista, et al.. (2017). Gene Expression Signatures in Circulating Tumor Cells Correlate with Response to Therapy in Metastatic Breast Cancer. Clinical Chemistry. 63(10). 1585–1593. 41 indexed citations
6.
Karlsson, Oskar, Lova Segerström, Robert Sjöback, Ingrid Nylander, & Mats Borén. (2016). qPCR based mRNA quality score show intact mRNA after heat stabilization. SHILAP Revista de lepidopterología. 7. 21–26. 5 indexed citations
7.
Padma, Arvind Manikantan, Joakim Håkansson, Jan Nygren, et al.. (2016). Significantly Accelerated Wound Healing of Full-Thickness Skin Using a Novel Composite Gel of Porcine Acellular Dermal Matrix and Human Peripheral Blood Cells. Cell Transplantation. 26(2). 293–307. 25 indexed citations
8.
Edimiris, Philippos, Paweł Mach, Mikael Kubista, et al.. (2016). Abstract 502: Gene expression signatures in circulating tumor cells are prognostic for metastatic lesions in breast cancer patients and correlate with response to therapy. Cancer Research. 76(14_Supplement). 502–502. 1 indexed citations
9.
Korenková, Vlasta, et al.. (2015). Pre-amplification in the context of high-throughput qPCR gene expression experiment. BMC Molecular Biology. 16(1). 5–5. 33 indexed citations
10.
Björkman, Jens, et al.. (2015). Differential amplicons (ΔAmp)—a new molecular method to assess RNA integrity. SHILAP Revista de lepidopterología. 6. 4–12. 15 indexed citations
11.
Zhang, Hui, Vlasta Korenková, Robert Sjöback, et al.. (2014). Biomarkers for Monitoring Pre-Analytical Quality Variation of mRNA in Blood Samples. PLoS ONE. 9(11). e111644–e111644. 17 indexed citations
12.
Švec, Dávid, Daniel Andersson, Milos Pekny, et al.. (2013). Direct Cell Lysis for Single-Cell Gene Expression Profiling. Frontiers in Oncology. 3. 274–274. 49 indexed citations
13.
Kubista, Mikael, J.M. Andrade, Martin Bengtsson, et al.. (2006). The real-time polymerase chain reaction. Molecular Aspects of Medicine. 27(2-3). 95–125. 1050 indexed citations breakdown →
14.
Svanvik, Nicke, et al.. (2000). Rapid and specific detection of PCR products using light-up probes. Molecular and Cellular Probes. 14(5). 321–328. 63 indexed citations
15.
Svanvik, Nicke, Anders Ståhlberg, Ulrica Sehlstedt, Robert Sjöback, & Mikael Kubista. (2000). Detection of PCR Products in Real Time Using Light-up Probes. Analytical Biochemistry. 287(1). 179–182. 62 indexed citations
16.
Simonsson, Tomas & Robert Sjöback. (1999). DNA Tetraplex Formation Studied with Fluorescence Resonance Energy Transfer. Journal of Biological Chemistry. 274(24). 17379–17383. 78 indexed citations
17.
Kubista, Mikael, et al.. (1999). Making Reference Samples Redundant. Critical Reviews in Analytical Chemistry. 29(1). 1–28. 35 indexed citations
18.
Sjöback, Robert, Jan Nygren, & Mikael Kubista. (1998). Characterization of fluorescein–oligonucleotide conjugates and measurement of local electrostatic potential. Biopolymers. 46(7). 445–453. 97 indexed citations
19.
Kubista, Mikael, Robert Sjöback, Svante Eriksson, & Bo Albinsson. (1994). Experimental correction for the inner-filter effect in fluorescence spectra. The Analyst. 119(3). 417–419. 340 indexed citations
20.
Kubista, Mikael, et al.. (1994). Properties of RecA‐oligonucleotide complexes. Journal of Molecular Recognition. 7(3). 199–206. 10 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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