Sara Kanje

783 total citations
9 papers, 153 citations indexed

About

Sara Kanje is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Sara Kanje has authored 9 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Oncology. Recurrent topics in Sara Kanje's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Sara Kanje is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Sara Kanje collaborates with scholars based in Sweden, Norway and Germany. Sara Kanje's co-authors include Sophia Hober, Julia Scheffel, Antje Herrmann, Karin Lindkvist‐Petersson, Samuel C. C. Chiang, Yenan T. Bryceson, Johan Nilvebrant, Raminta Venskutonytė, Mathias Uhlén and Hanna Tegel and has published in prestigious journals such as Journal of Molecular Biology, The Analyst and Bioconjugate Chemistry.

In The Last Decade

Sara Kanje

9 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Kanje Sweden	7	110	98	29	27	18	9	153
Frank Wedekind Germany	5	163 1.5×	73 0.7×	13 0.4×	15 0.6×	9 0.5×	9	179
Brandon L. Doyle United States	7	387 3.5×	80 0.8×	15 0.5×	31 1.1×	9 0.5×	10	407
Hong-Fei Tong China	12	328 3.0×	223 2.3×	18 0.6×	100 3.7×	10 0.6×	21	374
Vikash Kumar Yadav India	7	144 1.3×	38 0.4×	17 0.6×	6 0.2×	13 0.7×	13	185
Andrew S. Tait United Kingdom	7	297 2.7×	136 1.4×	21 0.7×	34 1.3×	2 0.1×	9	313
Thomas von Hirschheydt Germany	8	78 0.7×	50 0.5×	7 0.2×	21 0.8×	15 0.8×	13	95
Tyler Carlage United States	6	219 2.0×	106 1.1×	15 0.5×	55 2.0×	3 0.2×	7	251
Başak Kűkrer Netherlands	5	155 1.4×	89 0.9×	7 0.2×	23 0.9×	10 0.6×	6	227
Jihea Park United States	4	114 1.0×	73 0.7×	8 0.3×	30 1.1×	7 0.4×	5	155
Melissa Alvarez United States	6	268 2.4×	133 1.4×	7 0.2×	43 1.6×	5 0.3×	9	317

Countries citing papers authored by Sara Kanje

Since Specialization

Citations

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

Fields of papers citing papers by Sara Kanje

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Kanje

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

All Works

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9 of 9 papers shown

1.

Scheffel, Julia, Emma Larsson, Gabriella Rossi, et al.. (2022). CaRA – A multi-purpose phage display library for selection of calcium-regulated affinity proteins. New Biotechnology. 72. 159–167. 5 indexed citations

2.

Hober, Sophia, et al.. (2021). Affinity-Based Methods for Site-Specific Conjugation of Antibodies. Bioconjugate Chemistry. 32(8). 1515–1524. 44 indexed citations

3.

Kanje, Sara, et al.. (2020). Improvements of a high-throughput protein purification process using a calcium-dependent setup. Protein Expression and Purification. 175. 105698–105698. 4 indexed citations

4.

Lindbo, Sarah, Magnus Lundqvist, Sara Kanje, et al.. (2020). Small Bispecific Affinity Proteins for Simultaneous Target Binding and Albumin-Associated Half-Life Extension. Molecular Pharmaceutics. 18(1). 328–337. 6 indexed citations

5.

Scheffel, Julia, et al.. (2019). Optimization of a calcium-dependent Protein A-derived domain for mild antibody purification. mAbs. 11(8). 1492–1501. 15 indexed citations

6.

Kanje, Sara, Raminta Venskutonytė, Julia Scheffel, et al.. (2018). Protein Engineering Allows for Mild Affinity-based Elution of Therapeutic Antibodies. Journal of Molecular Biology. 430(18). 3427–3438. 23 indexed citations

7.

Kanje, Sara, et al.. (2016). Site-Specific Photolabeling of the IgG Fab Fragment Using a Small Protein G Derived Domain. Bioconjugate Chemistry. 27(9). 2095–2102. 18 indexed citations

8.

Kanje, Sara, et al.. (2016). Next generation of labeling reagents for quantitative and multiplexing immunoassays by the use of LA-ICP-MS. The Analyst. 141(23). 6374–6380. 19 indexed citations

9.

Kanje, Sara & Sophia Hober. (2015). In vivo biotinylation and incorporation of a photo‐inducible unnatural amino acid to an antibody‐binding domain improve site‐specific labeling of antibodies. Biotechnology Journal. 10(4). 564–574. 19 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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