Clemens Wittenbecher
- Molecular Biology
- Physiology top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Matthias B. SchulzeFabian EichelmannFrank B. HuOlga KuxhausMarta Guasch‐FerréHeiner BoeingJakub MorzeLukas Schwingshackl
- Topics
- Metabolomics and Mass Spectrometry Studies (17 papers)Nutritional Studies and Diet (11 papers)Diet and metabolism studies (10 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Clemens Wittenbecher
42 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 573
- Physiology 401
- Epidemiology 265
- Public Health, Environmental and Occupational Health 233
- Endocrinology, Diabetes and Metabolism 153
Countries citing papers authored by Clemens Wittenbecher
This map shows the geographic impact of Clemens Wittenbecher'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 Clemens Wittenbecher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clemens Wittenbecher more than expected).
Fields of papers citing papers by Clemens Wittenbecher
This network shows the impact of papers produced by Clemens Wittenbecher. 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 Clemens Wittenbecher. The network helps show where Clemens Wittenbecher may publish in the future.
Co-authorship network of co-authors of Clemens Wittenbecher
This figure shows the co-authorship network connecting the top 25 collaborators of Clemens Wittenbecher. A scholar is included among the top collaborators of Clemens Wittenbecher 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 Clemens Wittenbecher. Clemens Wittenbecher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 21 | |
| 5 | 30 | |
| 6 | 33 | |
| 7 | 67 | |
| 8 | Metabolomics and Type 2 Diabetes Risk: An Updated Systematic Review and Meta-analysis of Prospective Cohort Studiesbreakdown → | 159 |
| 9 | 49 | |
| 10 | 25 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | 24 | |
| 15 | 66 | |
| 16 | 54 | |
| 17 | Plasma N-Glycans as Emerging Biomarkers of Cardiometabolic Risk: A Prospective Investigation in the EPIC-Potsdam Cohort Study | 5 |
| 18 | 46 | |
| 19 | 43 | |
| 20 | 43 |
About Clemens Wittenbecher
Clemens Wittenbecher is a scholar working on Nutrition and Dietetics, Physiology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (17 papers), Nutritional Studies and Diet (11 papers) and Diet and metabolism studies (10 papers). The work is most often cited by research in Physiology (401 citations), Endocrinology, Diabetes and Metabolism (153 citations) and Nutrition and Dietetics (134 citations). Clemens Wittenbecher has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Matthias B. Schulze, Fabian Eichelmann, Frank B. Hu, Olga Kuxhaus, Marta Guasch‐Ferré, Heiner Boeing, Jakub Morze, Lukas Schwingshackl, Andrzej Rynkiewicz and Anna Danielewicz. Their work appears in journals such as Circulation, Nature Medicine and Nature Communications.
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.