Daniel F. Markgraf
- Molecular Biology top 10%
- Cell Biology top 2%
- Epidemiology top 10%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Christian UngermannKarolina PeplowskaMichael RodenClemens W. OstrowiczGert BangeTomáš JeleníkChrister S. EjsingJulia Szendroedi
- Topics
- Liver Disease Diagnosis and Treatment (11 papers)Adipose Tissue and Metabolism (10 papers)Lipid metabolism and biosynthesis (7 papers)
- Cited by
- Cell BiologyPhysiologyBiochemistry
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsAmerican Journal of Clinical Nutrition
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Daniel F. Markgraf
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 888
- Cell Biology 513
- Epidemiology 444
- Physiology 434
- Endocrinology, Diabetes and Metabolism 252
Countries citing papers authored by Daniel F. Markgraf
This map shows the geographic impact of Daniel F. Markgraf'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 Daniel F. Markgraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Markgraf more than expected).
Fields of papers citing papers by Daniel F. Markgraf
This network shows the impact of papers produced by Daniel F. Markgraf. 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 Daniel F. Markgraf. The network helps show where Daniel F. Markgraf may publish in the future.
Co-authorship network of co-authors of Daniel F. Markgraf
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Markgraf. A scholar is included among the top collaborators of Daniel F. Markgraf 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 Daniel F. Markgraf. Daniel F. Markgraf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | 5 | |
| 8 | 23 | |
| 9 | 54 | |
| 10 | 135 | |
| 11 | 211 | |
| 12 | 10 | |
| 13 | 14 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 134 | |
| 19 | 28 | |
| 20 | 81 |
About Daniel F. Markgraf
Daniel F. Markgraf is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Adipose Tissue and Metabolism (10 papers) and Lipid metabolism and biosynthesis (7 papers). The work is most often cited by research in Cell Biology (513 citations), Physiology (112 citations) and Biochemistry (163 citations). Daniel F. Markgraf has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Christian Ungermann, Karolina Peplowska, Michael Roden, Clemens W. Ostrowicz, Gert Bange, Tomáš Jeleník, Christer S. Ejsing, Julia Szendroedi, Christian Herder and Karsten Müssig. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.