Daniel Hornburg
- Molecular Biology top 5%
- Neurology top 2%
- Physiology top 5%
- Spectroscopy top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Matthias MannFelix MeissnerM SnyderF. Ulrich HartlMark S. HippJan-Peter HauschildAlexander MakarovEduard Denisov
- Topics
- Advanced Proteomics Techniques and Applications (8 papers)Mass Spectrometry Techniques and Applications (5 papers)Metabolomics and Mass Spectrometry Studies (4 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Daniel Hornburg
33 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.7k
- Neurology 484
- Physiology 434
- Spectroscopy 358
- Cellular and Molecular Neuroscience 280
Countries citing papers authored by Daniel Hornburg
This map shows the geographic impact of Daniel Hornburg'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 Hornburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hornburg more than expected).
Fields of papers citing papers by Daniel Hornburg
This network shows the impact of papers produced by Daniel Hornburg. 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 Hornburg. The network helps show where Daniel Hornburg may publish in the future.
Co-authorship network of co-authors of Daniel Hornburg
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hornburg. A scholar is included among the top collaborators of Daniel Hornburg 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 Hornburg. Daniel Hornburg 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 | 12 | |
| 3 | Nonlinear dynamics of multi-omics profiles during human agingbreakdown → | 141 |
| 4 | Dynamic lipidome alterations associated with human health, disease and ageingbreakdown → | 111 |
| 5 | 9 | |
| 6 | 46 | |
| 7 | 80 | |
| 8 | 15 | |
| 9 | 103 | |
| 10 | 122 | |
| 11 | 52 | |
| 12 | 9 | |
| 13 | 57 | |
| 14 | 69 | |
| 15 | 250 | |
| 16 | 115 | |
| 17 | 134 | |
| 18 | 28 | |
| 19 | 249 | |
| 20 | 30 |
About Daniel Hornburg
Daniel Hornburg is a scholar working on Biological Psychiatry, Spectroscopy and Molecular Biology, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Neurology (484 citations), Aging (53 citations) and Genetics (260 citations). Daniel Hornburg has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Matthias Mann, Felix Meissner, M Snyder, F. Ulrich Hartl, Mark S. Hipp, Jan-Peter Hauschild, Alexander Makarov, Eduard Denisov, Richard A. Scheltema and Andreas Kuehn. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.