Daniel Weindl
Impact in
- Biological Psychiatry top 10%
-
- Metabolomics and Mass Spectrometry Studies
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
Papers in
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- Metabolomics and Mass Spectrometry Studies 10
- Gene Regulatory Network Analysis 10
- Microbial Metabolic Engineering and Bioproduction 8
- Protein Structure and Dynamics 4
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- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Karsten Hiller (11 shared papers)Johannes Meiser (2 shared papers)André Wegner (9 shared papers)Jan Hasenauer (12 shared papers)Fabian Fröhlich (6 shared papers)Sean C. Sapcariu (4 shared papers)Leonard Schmiester (7 shared papers)Gunnar Dittmar (1 shared paper)
- Journals
- Bioinformatics (7 papers)Analytical Chemistry (2 papers)PLoS Computational Biology (2 papers)Journal of Chromatography A (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyLuxembourgUnited States
In The Last Decade
Daniel Weindl
24 papers receiving 1.2k citations
Daniel Weindl's Hit Papers
Peers
Comparison fields: 5 of 140
- Biological Psychiatry 54
- Molecular Biology 685
- Cellular and Molecular Neuroscience 172
- Biophysics 46
- Neurology 119
Countries citing papers authored by Daniel Weindl
This map shows the geographic impact of Daniel Weindl'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 Weindl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Weindl more than expected).
Fields of papers citing papers by Daniel Weindl
This network shows the impact of papers produced by Daniel Weindl. 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 Weindl. The network helps show where Daniel Weindl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Weindl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Complexity of dopamine metabolism Hit paper breakdown → | 2013 | 494 |
| 2 | 2014 | 111 | |
| 3 | 2018 | 91 | |
| 4 | 2018 | 84 | |
| 5 | 2014 | 79 | |
| 6 | 2017 | 62 | |
| 7 | 2018 | 37 | |
| 8 | 2013 | 34 | |
| 9 | 2016 | 27 | |
| 10 | 2019 | 23 | |
| 11 | 2014 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2016 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2015 | 15 | |
| 17 | 2015 | 13 | |
| 18 | 2013 | 11 | |
| 19 | 2020 | 7 | |
| 20 | 2021 | 6 |
About Daniel Weindl
Daniel Weindl is a scholar working on Molecular Biology, Spectroscopy, Control and Systems Engineering, Computational Theory and Mathematics and Ecology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Gene Regulatory Network Analysis (10 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Protein Structure and Dynamics (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Advanced Control Systems Optimization (3 papers), Isotope Analysis in Ecology (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Biological Psychiatry (54 citations), Molecular Biology (685 citations), Cellular and Molecular Neuroscience (172 citations), Biophysics (46 citations) and Neurology (119 citations). Daniel Weindl has collaborated with scholars based in Germany, Luxembourg and United States. Frequent co-authors include Karsten Hiller, Johannes Meiser, André Wegner, Jan Hasenauer, Fabian Fröhlich, Sean C. Sapcariu, Leonard Schmiester, Gunnar Dittmar, Tamara Kanashova and Julio R. Banga. Their work appears in journals such as Bioinformatics, Analytical Chemistry, PLoS Computational Biology, Journal of Chromatography A 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.