Karin Staflin

849 citations
17 papers · 576 · h-index 13

Impact in

Papers in

    • Peptidase Inhibition and Analysis 3
    • HER2/EGFR in Cancer Research 3
    • Chemokine receptors and signaling 1
    • Glioma Diagnosis and Treatment 5

Karin Staflin

17 papers receiving 560 citations

Peers

Karin Staflin
Comparison fields: 5 of 68
  • Developmental Neuroscience 73
  • Immunology and Allergy 67
  • Genetics 111
  • Oncology 182
  • Radiology, Nuclear Medicine and Imaging 123
Replace Helena Kiefel with:
Helena Kiefel Germany
Susan J. Hines United States
Mihaela Lorger United Kingdom
R.C. McGarry United States
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Sean Tsao United States
Silke Aigner Germany
S. Clifford Schold United States
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Karin Staflin relative to Helena Kiefel Germany Helena Kiefel's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Karin Staflin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karin Staflin Line = papers co-authored together Karin Staflin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009145
2 201662
3 201158
4 200458
5 201749
6 201145
7 200630
8 200920
9 200617
10 201816
11 200716
12 200915
13 201612
14 201011
15 200611
16 20209
17 20062

About Karin Staflin

Karin Staflin is a scholar working on Oncology, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience, having authored 17 papers that have together received 576 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Cell Adhesion Molecules Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Peptidase Inhibition and Analysis (3 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Mechanisms and Therapy (2 papers) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Developmental Neuroscience (73 citations), Immunology and Allergy (67 citations), Genetics (111 citations), Oncology (182 citations) and Radiology, Nuclear Medicine and Imaging (123 citations). Karin Staflin has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Brunhilde Felding‐Habermann, Joseph S. Krueger, Mihaela Lorger, Gabriella Honeth, Magnus Lindvall, Jane Forsyth, Christian Kjellman, Stephanie A. Kazane, Benjamin M. Hutchins and Peter G. Schultz. Their work appears in journals such as International Journal of Gynecological Cancer, Experimental Neurology, Journal of Pharmacology and Experimental Therapeutics, Clinical & Experimental Metastasis and BMC Cancer.

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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