Karin Staflin

849 total citations
17 papers, 576 citations indexed

About

Karin Staflin is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Karin Staflin has authored 17 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Karin Staflin's work include Glioma Diagnosis and Treatment (5 papers), Cell Adhesion Molecules Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Karin Staflin is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Cell Adhesion Molecules Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Karin Staflin collaborates with scholars based in United States, Sweden and Switzerland. Karin Staflin's co-authors include Brunhilde Felding‐Habermann, Joseph S. Krueger, Mihaela Lorger, Magnus Lindvall, Gabriella Honeth, Jane Forsyth, Christian Kjellman, Vaughn V. Smider, Stephanie A. Kazane and Peter G. Schultz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Karin Staflin

17 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Staflin United States 13 264 182 123 111 73 17 576
Rupavathana Mahesparan Norway 14 414 1.6× 164 0.9× 73 0.6× 278 2.5× 44 0.6× 33 1.1k
Judeth K. McGann United States 6 192 0.7× 199 1.1× 65 0.5× 37 0.3× 24 0.3× 7 530
Pamela Thompson United States 15 297 1.1× 152 0.8× 141 1.1× 16 0.1× 106 1.5× 23 614
R.C. McGarry United States 14 356 1.3× 197 1.1× 197 1.6× 24 0.2× 48 0.7× 43 908
D D Bigner United States 10 369 1.4× 228 1.3× 278 2.3× 262 2.4× 20 0.3× 13 940
Si Tuen Lee-Hoeflich Canada 7 548 2.1× 537 3.0× 366 3.0× 64 0.6× 25 0.3× 7 961
Demetrios C. Nikas United States 9 290 1.1× 138 0.8× 99 0.8× 154 1.4× 7 0.1× 16 817
Anne Vehlow Germany 13 324 1.2× 146 0.8× 53 0.4× 96 0.9× 12 0.2× 25 752
S. Clifford Schold United States 9 318 1.2× 131 0.7× 118 1.0× 398 3.6× 24 0.3× 11 1.1k
Sean Tsao United States 8 275 1.0× 107 0.6× 60 0.5× 161 1.5× 156 2.1× 14 587

Countries citing papers authored by Karin Staflin

Since Specialization
Citations

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

Fields of papers citing papers by Karin Staflin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Staflin

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Staflin. A scholar is included among the top collaborators of Karin Staflin 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 Karin Staflin. Karin Staflin 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.
Vessillier, Sandrine, Madeline Fort, Heather Hinton, et al.. (2020). Development of the first reference antibody panel for qualification and validation of cytokine release assay platforms – Report of an international collaborative study. SHILAP Revista de lepidopterología. 2(4). 100042–100042. 9 indexed citations
2.
Sheinson, Daniel, et al.. (2018). In vitro assessment of chemotherapy-induced neuronal toxicity. Toxicology in Vitro. 50. 109–123. 16 indexed citations
3.
Thackaberry, Evan A., Cindy Farman, Fiona Zhong, et al.. (2017). Evaluation of the Toxicity of Intravitreally Injected PLGA Microspheres and Rods in Monkeys and Rabbits: Effects of Depot Size on Inflammatory Response. Investigative Ophthalmology & Visual Science. 58(10). 4274–4274. 49 indexed citations
4.
Schutt, Leah, Jacqueline M. Tarrant, Michelle McDowell, et al.. (2016). Bruton’s Tyrosine Kinase Small Molecule Inhibitors Induce a Distinct Pancreatic Toxicity in Rats. Journal of Pharmacology and Experimental Therapeutics. 360(1). 226–238. 12 indexed citations
5.
Weber, Martin R., Masahiko Zuka, Mihaela Lorger, et al.. (2016). Activated tumor cell integrin αvβ3 cooperates with platelets to promote extravasation and metastasis from the blood stream. Thrombosis Research. 140. S27–S36. 62 indexed citations
6.
Hutchins, Benjamin M., Stephanie A. Kazane, Karin Staflin, et al.. (2011). Site-Specific Coupling and Sterically Controlled Formation of Multimeric Antibody Fab Fragments with Unnatural Amino Acids. Journal of Molecular Biology. 406(4). 595–603. 58 indexed citations
7.
Hutchins, Benjamin M., Stephanie A. Kazane, Karin Staflin, et al.. (2011). Selective Formation of Covalent Protein Heterodimers with an Unnatural Amino Acid. Chemistry & Biology. 18(3). 299–303. 45 indexed citations
8.
Staflin, Karin, Joseph S. Krueger, Jane Forsyth, et al.. (2010). Targeting activated integrin αvβ3 with patient-derived antibodies impacts late-stage multiorgan metastasis. Clinical & Experimental Metastasis. 27(4). 217–231. 11 indexed citations
9.
Deierborg, Tomas, et al.. (2009). Absence of striatal newborn neurons with mature phenotype following defined striatal and cortical excitotoxic brain injuries. Experimental Neurology. 219(1). 363–367. 15 indexed citations
10.
Staflin, Karin, Thole Züchner, Gabriella Honeth, Anna Darabi, & Cecilia Lundberg. (2009). Identification of proteins involved in neural progenitor cell targeting of gliomas. BMC Cancer. 9(1). 206–206. 20 indexed citations
11.
Lorger, Mihaela, et al.. (2009). Activation of tumor cell integrin α v β 3 controls angiogenesis and metastatic growth in the brain. Proceedings of the National Academy of Sciences. 106(26). 10666–10671. 145 indexed citations
12.
Staflin, Karin, Magnus Lindvall, Thole Züchner, & Cecilia Lundberg. (2007). Instructive cross‐talk between neural progenitor cells and gliomas. Journal of Neuroscience Research. 85(10). 2147–2159. 16 indexed citations
13.
Staflin, Karin, S. Jarnum, Jian Hua, et al.. (2006). Combretastatin A-1 phosphate potentiates the antitumor activity of carboplatin and paclitaxel in a severe combined immunodeficiency disease (SCID) mouse model of human ovarian carcinoma. International Journal of Gynecological Cancer. 16(4). 1557–1564. 11 indexed citations
14.
Honeth, Gabriella, et al.. (2006). Chemokine-directed migration of tumor-inhibitory neural progenitor cells towards an intracranially growing glioma. Experimental Cell Research. 312(8). 1265–1276. 30 indexed citations
15.
Jakobsson, Johan, Troels T. Nielsen, Karin Staflin, Biljana Georgievska, & Cecilia Lundberg. (2006). Efficient transduction of neurons using Ross River glycoprotein-pseudotyped lentiviral vectors. Gene Therapy. 13(12). 966–973. 17 indexed citations
16.
Staflin, Karin, Sofia Järnum, Jianyi Hua, et al.. (2006). Combretastatin A-1 phosphate potentiates the antitumor activity of carboplatin and paclitaxel in a severe combined immunodeficiency disease (SCID) mouse model of human ovarian carcinoma. International Journal of Gynecological Cancer. 16(4). 1557–1564. 2 indexed citations
17.
Staflin, Karin, et al.. (2004). Neural Progenitor Cell Lines Inhibit Rat Tumor Growth in Vivo . Cancer Research. 64(15). 5347–5354. 58 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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