Anna Sjöberg

993 total citations
17 papers, 742 citations indexed

About

Anna Sjöberg is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Anna Sjöberg has authored 17 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Spectroscopy. Recurrent topics in Anna Sjöberg's work include Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (5 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Anna Sjöberg is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (5 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Anna Sjöberg collaborates with scholars based in Sweden, Finland and Spain. Anna Sjöberg's co-authors include Vladimir Tolmachev, Daniel Rosik, Anna Orlova, Lars Abrahmsén, Mattias Sandström, Joachim Feldwisch, Thuy Tran, Sophia Hober, Helena Wållberg and Torbjörn Gräslund and has published in prestigious journals such as Journal of Molecular Biology, Journal of Chromatography A and Proteins Structure Function and Bioinformatics.

In The Last Decade

Anna Sjöberg

16 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Sjöberg Sweden 13 524 363 222 59 51 17 742
Ryan Dorton United States 12 137 0.3× 315 0.9× 219 1.0× 76 1.3× 51 1.0× 18 671
Enrique Miranda United Kingdom 12 316 0.6× 370 1.0× 320 1.4× 29 0.5× 60 1.2× 15 664
Jill E. Porter United States 6 171 0.3× 298 0.8× 95 0.4× 42 0.7× 52 1.0× 7 653
Kiran Khandke United States 14 294 0.6× 244 0.7× 375 1.7× 132 2.2× 113 2.2× 24 793
Takuo Suzuki Japan 14 299 0.6× 493 1.4× 98 0.4× 33 0.6× 28 0.5× 23 774
Haley D. Neff‐LaFord United States 7 321 0.6× 171 0.5× 315 1.4× 33 0.6× 15 0.3× 17 559
Eshita Khera United States 12 237 0.5× 191 0.5× 223 1.0× 98 1.7× 32 0.6× 18 487
Ming-Ching Hsieh United States 10 219 0.4× 372 1.0× 43 0.2× 61 1.0× 28 0.5× 17 538
Malaya Bhattacharya United States 14 169 0.3× 348 1.0× 54 0.2× 45 0.8× 46 0.9× 31 598

Countries citing papers authored by Anna Sjöberg

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sjöberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Sjöberg

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Sjöberg. A scholar is included among the top collaborators of Anna Sjöberg 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 Anna Sjöberg. Anna Sjöberg 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.
Tolmachev, Vladimir, Thuy Tran, Daniel Rosik, et al.. (2012). Tumor Targeting Using Affibody Molecules: Interplay of Affinity, Target Expression Level, and Binding Site Composition. Journal of Nuclear Medicine. 53(6). 953–960. 80 indexed citations
2.
Orlova, Anna, Jennie Malmberg, Camilla Hofström, et al.. (2011). Affibody molecule 111In-DOTA-ZIGF1R:4551, a new potential probe for imaging of IGF-1R expression in malignant tumours. European Journal of Nuclear Medicine and Molecular Imaging. 38. 1 indexed citations
3.
Forsström, Björn, Henrik Johannesson, Charlotte Stadler, et al.. (2011). Generation of monospecific antibodies based on affinity capture of polyclonal antibodies. Protein Science. 20(11). 1824–1835. 16 indexed citations
4.
Tolmachev, Vladimir, Jennie Malmberg, Camilla Hofström, et al.. (2011). Imaging of Insulinlike Growth Factor Type 1 Receptor in Prostate Cancer Xenografts Using the Affibody Molecule111In-DOTA-ZIGF1R:4551. Journal of Nuclear Medicine. 53(1). 90–97. 45 indexed citations
5.
Feldwisch, Joachim, Vladimir Tolmachev, Christofer Lendel, et al.. (2010). Design of an Optimized Scaffold for Affibody Molecules. Journal of Molecular Biology. 398(2). 232–247. 127 indexed citations
6.
Eriksson, Cecilia, Jochen M. Schwenk, Anna Sjöberg, & Sophia Hober. (2010). Affibody molecule‐mediated depletion of HSA and IgG using different buffer compositions: a 15 min protocol for parallel processing of 1–48 samples. Biotechnology and Applied Biochemistry. 56(2). 49–57. 8 indexed citations
7.
Tran, Thuy, Daniel Rosik, Lars Abrahmsén, et al.. (2009). Design, synthesis and biological evaluation of a multifunctional HER2-specific Affibody molecule for molecular imaging. European Journal of Nuclear Medicine and Molecular Imaging. 36(11). 1864–1873. 44 indexed citations
8.
Tolmachev, Vladimir, Daniel Rosik, Helena Wållberg, et al.. (2009). Imaging of EGFR expression in murine xenografts using site-specifically labelled anti-EGFR 111In-DOTA-ZEGFR:2377 Affibody molecule: aspect of the injected tracer amount. European Journal of Nuclear Medicine and Molecular Imaging. 37(3). 613–622. 96 indexed citations
9.
Grönwall, Caroline, Anna Sjöberg, Margareta Ramström, et al.. (2007). Affibody‐mediated transferrin depletion for proteomics applications. Biotechnology Journal. 2(11). 1389–1398. 39 indexed citations
10.
Ahlgren, Sara, Anna Orlova, Daniel Rosik, et al.. (2007). Evaluation of Maleimide Derivative of DOTA for Site-Specific Labeling of Recombinant Affibody Molecules. Bioconjugate Chemistry. 19(1). 235–243. 83 indexed citations
11.
Bhikhabhai, Rama, et al.. (2005). Production of milligram quantities of affinity tagged-proteins using automated multistep chromatographic purification. Journal of Chromatography A. 1080(1). 83–92. 27 indexed citations
12.
Linhult, Martin, et al.. (2004). Improving the tolerance of a protein a analogue to repeated alkaline exposures using a bypass mutagenesis approach. Proteins Structure Function and Bioinformatics. 55(2). 407–416. 86 indexed citations
13.
Bredholt, Sylvia, Johanna Maukonen, Timo Alanko, et al.. (1999). Microbial methods for assessment of cleaning and disinfection of food-processing surfaces cleaned in a low-pressure system. European Food Research and Technology. 209(2). 145–152. 31 indexed citations
14.
Karppinen, Sirpa, et al.. (1996). HACCP-based food quality control and rapid detection methods for microorganisms. Food Control. 7(6). 263–276. 39 indexed citations
15.
Sjöberg, Anna. (1994). Kvinnor och ledarskap.. 1 indexed citations
16.
Sjöberg, Anna, et al.. (1985). Determination of synthetic organic colours in lipsticks by thin-layer and high-performance liquid chromatography. Journal of Chromatography A. 318(1). 149–154. 16 indexed citations
17.
Sjöberg, Anna, et al.. (1984). Simple method for the determination of alkaloids in cocoa using paper chromatography and UV spectrometry. Journal of Chromatography A. 295(1). 291–294. 3 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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