Olga Kuxhaus
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- Matthias B. SchulzeNorbert StefanFrank B. HuNathalie EckelYanping LiClemens WittenbecherHeiner BoeingFabian Eichelmann
- Topics
- Nutritional Studies and Diet (5 papers)Glycosylation and Glycoproteins Research (3 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
- Partner nations
- GermanyUnited StatesCroatia
In The Last Decade
Olga Kuxhaus
20 papers receiving 859 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 254
- Physiology 238
- Endocrinology, Diabetes and Metabolism 223
- Public Health, Environmental and Occupational Health 187
- Epidemiology 182
Countries citing papers authored by Olga Kuxhaus
This map shows the geographic impact of Olga Kuxhaus'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 Olga Kuxhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Kuxhaus more than expected).
Fields of papers citing papers by Olga Kuxhaus
This network shows the impact of papers produced by Olga Kuxhaus. 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 Olga Kuxhaus. The network helps show where Olga Kuxhaus may publish in the future.
Co-authorship network of co-authors of Olga Kuxhaus
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Kuxhaus. A scholar is included among the top collaborators of Olga Kuxhaus 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 Olga Kuxhaus. Olga Kuxhaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 33 | |
| 7 | 67 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 52 | |
| 11 | 8 | |
| 12 | 57 | |
| 13 | 54 | |
| 14 | Plasma N-Glycans as Emerging Biomarkers of Cardiometabolic Risk: A Prospective Investigation in the EPIC-Potsdam Cohort Study | 5 |
| 15 | 46 | |
| 16 | Transition from metabolic healthy to unhealthy phenotypes and association with cardiovascular disease risk across BMI categories in 90 257 women (the Nurses' Health Study): 30 year follow-up from a prospective cohort studybreakdown → | 303 |
| 17 | 10 | |
| 18 | 12 | |
| 19 | 7 | |
| 20 | 90 |
About Olga Kuxhaus
Olga Kuxhaus is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Statistics and Probability, having authored 23 papers that have together received 867 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (223 citations), Physiology (238 citations) and Nutrition and Dietetics (106 citations). Olga Kuxhaus has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Matthias B. Schulze, Norbert Stefan, Frank B. Hu, Nathalie Eckel, Yanping Li, Clemens Wittenbecher, Heiner Boeing, Fabian Eichelmann, Susanne Jäger and Cornelia Weikert. Their work appears in journals such as Circulation, Nature Communications and American Journal of Clinical Nutrition.
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.