Simon Ginzinger

1.2k citations
17 papers · 814 · 1 hit paper · h-index 9

Impact in

Papers in

Simon Ginzinger

17 papers receiving 804 citations

Simon Ginzinger's Hit Papers

SHIFTX2: significantly improved protein chemical shift prediction 2011 · 529 citations
5290+5+10Years since publication100200300400500

Peers

Simon Ginzinger
Comparison fields: 5 of 103
  • Spectroscopy 207
  • Applied Psychology 54
  • Molecular Biology 500
  • Materials Chemistry 237
  • Clinical Psychology 93
Replace Homayoun Valafar with:
Homayoun Valafar United States
Neil D. Clarke United Kingdom
Jennifer M. Johnston United States
William W.‐C. Chan Canada
Sandipan Ray India
David Singer United States
Naoki Yamamoto Japan
Yongqi Huang China
Sho Takahashi Japan
Yunge Li China
Simon Ginzinger relative to Homayoun Valafar United States Homayoun Valafar's profile →
Citations per field
00.5×4.7×
Homayoun Valafar · 1×
Citations per year

Countries citing papers authored by Simon Ginzinger

Since Specialization
Citations

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

Fields of papers citing papers by Simon Ginzinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Simon Ginzinger, 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 Simon Ginzinger Line = papers co-authored together Simon Ginzinger links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
SHIFTX2: significantly improved protein chemical shift prediction
Hit paper breakdown →
2011529
2 2016113
3 201547
4 201424
5 201720
6 200719
7 200913
8 200510
9 20099
10 20107
11 20216
12 20176
13 20174
14 20232
15 20142
16 20142
17 20111

About Simon Ginzinger

Simon Ginzinger is a scholar working on Molecular Biology, General Health Professions, Materials Chemistry, Computer Vision and Pattern Recognition and Applied Psychology, having authored 17 papers that have together received 814 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mobile Health and mHealth Applications (4 papers), Behavioral Health and Interventions (3 papers), Machine Learning in Bioinformatics (2 papers), Diabetes Management and Research (2 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Spectroscopy (207 citations), Applied Psychology (54 citations), Molecular Biology (500 citations), Materials Chemistry (237 citations) and Clinical Psychology (93 citations). Simon Ginzinger has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include David S. Wishart, Beom-Soo Han, Yifeng Liu, Julia Reichenberger, Jens Blechert, Michael Liedlgruber, Peter Kuppens, Thomas Stütz, Frank H. Wilhelm and M.P. Coles. Their work appears in journals such as Journal of Biomolecular NMR, JMIR Rehabilitation and Assistive Technologies, Journal of Diabetes Science and Technology, Biological Psychology and Structure.

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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