Ulla Rüetschi

2.6k citations
40 papers · 2.3k · h-index 27

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
  • Equine top 5%

Papers in

    • Osteoarthritis Treatment and Mechanisms 5
    • Advanced Proteomics Techniques and Applications 4

Ulla Rüetschi

39 papers receiving 2.2k citations

Peers

Ulla Rüetschi
Comparison fields: 5 of 103
  • Spectroscopy 306
  • Equine 33
  • Physiology 350
  • Clinical Biochemistry 66
  • Molecular Biology 866
Replace Ahuva Nissim with:
Ahuva Nissim United Kingdom
Koichiro Kishi Japan
Sabine A. Fuchs Netherlands
Jianhe Peng United Kingdom
Masood Kamali‐Moghaddam Sweden
Deborah Penque Portugal
Veronika Barešová Czechia
Frances C. Prelli United States
Christoph Stingl Netherlands
Young‐Min Hyun South Korea
Ulla Rüetschi relative to Ahuva Nissim United Kingdom Ahuva Nissim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ulla Rüetschi

Since Specialization
Citations

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

Fields of papers citing papers by Ulla Rüetschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009296
2 2011209
3 2013165
4 2011135
5 2014128
6 2005112
7 2012103
8 2005102
9 201487
10 201279
11 200860
12 200053
13 199647
14 201247
15 199246
16 199543
17 201042
18 199338
19 201438
20 200636

About Ulla Rüetschi

Ulla Rüetschi is a scholar working on Rheumatology, Spectroscopy, Clinical Biochemistry, Inorganic Chemistry and Pathology and Forensic Medicine, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Alzheimer's disease research and treatments (5 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Viral-associated cancers and disorders (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers), Metabolism and Genetic Disorders (3 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Spectroscopy (306 citations), Equine (33 citations), Physiology (350 citations), Clinical Biochemistry (66 citations) and Molecular Biology (866 citations). Ulla Rüetschi has collaborated with scholars based in Sweden, Denmark and United Kingdom. Frequent co-authors include Göran Larson, Jonas Nilsson, Adnan Halim, Gunnar Brinkmalm, Henrik Zetterberg, Kaj Blennow, Camilla Hesse, Lars Rymo, Ann Brinkmalm and Elisabet Carlsohn. Their work appears in journals such as Journal of Proteome Research, European Journal of Biochemistry, Equine Veterinary Journal, Journal of Biological Chemistry and Journal of Virology.

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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