Violet Roskens

940 citations
9 papers · 727 · h-index 7

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Metabolism, Diabetes, and Cancer 2
    • DNA and Nucleic Acid Chemistry 2
    • Pancreatic function and diabetes 5

Violet Roskens

9 papers receiving 710 citations

Peers

Violet Roskens
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 174
  • Nephrology 67
  • Genetics 208
  • Molecular Biology 482
  • Cell Biology 111
Replace Liam Sebag‐Montefiore with:
Liam Sebag‐Montefiore United Kingdom
Takahiro Kanatsuna Japan
Beatriz Lecumberri Spain
Akira Matsutani Japan
R Paschke Germany
J. M. Saudubray France
Todd Hager United States
T. Ohura Japan
Fatih Süheyl Ezgü Türkiye
Jean-Marie Gasc France
Violet Roskens relative to Liam Sebag‐Montefiore United Kingdom Liam Sebag‐Montefiore's profile →
Citations per field
00.5×6.7×
Liam Sebag‐Montefiore · 1×
Citations per year

Countries citing papers authored by Violet Roskens

Since Specialization
Citations

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

Fields of papers citing papers by Violet Roskens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Violet Roskens, 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 Violet Roskens Line = papers co-authored together Violet Roskens links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2003374
2 2006103
3 201086
4 200761
5 201049
6 200831
7 201316
8 20106
9 20141

About Violet Roskens

Violet Roskens is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Ecology, having authored 9 papers that have together received 727 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers), Diabetes Management and Research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Metabolism, Diabetes, and Cancer (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Bacteriophages and microbial interactions (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Nephrology (67 citations), Genetics (208 citations), Molecular Biology (482 citations) and Cell Biology (111 citations). Violet Roskens has collaborated with scholars based in United States and Canada. Frequent co-authors include Tatiana Prokaeva, Catherine E. Costello, Amareth Lim, Lawreen H. Connors, Thomas L. Jetton, James Lausier, Mina Peshavaria, Martin G. Latour, Jack L. Leahy and Brian Everill. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Journal of Proteome Research, Amyloid and Biophysical Journal.

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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