Daniel Weilandt
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- RNA Research and Splicing
- Protein Structure and Dynamics
- Viral Infectious Diseases and Gene Expression in Insects
- Enzyme Catalysis and Immobilization
Papers in
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- Microbial Metabolic Engineering and Bioproduction 7
- Gene Regulatory Network Analysis 4
- Fungal and yeast genetics research 2
- Protein Structure and Dynamics 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Mitochondrial Function and Pathology 2
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- Diet and metabolism studies 2
- Adipose Tissue and Metabolism 2
- Co-authors
- Vassily Hatzimanikatis (7 shared papers)Pierre Salvy (2 shared papers)Ljubiša Mišković (3 shared papers)Michaël Moret (1 shared paper)Oliver Hantschel (1 shared paper)Carolin C. Lechner (1 shared paper)Louise C. Bryan (1 shared paper)Sandrine Georgeon (1 shared paper)
- Journals
- Nature Communications (3 papers)Cell Metabolism (2 papers)Metabolic Engineering (2 papers)Bioinformatics (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Daniel Weilandt
9 papers receiving 159 citations
Daniel Weilandt's Hit Papers
Peers
Comparison fields: 5 of 61
- Molecular Biology 133
- Health Informatics 2
- Biophysics 4
- Cancer Research 8
- Biomedical Engineering 22
Countries citing papers authored by Daniel Weilandt
This map shows the geographic impact of Daniel Weilandt'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 Weilandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Weilandt more than expected).
Fields of papers citing papers by Daniel Weilandt
This network shows the impact of papers produced by Daniel Weilandt. 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 Weilandt. The network helps show where Daniel Weilandt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Weilandt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 43 | |
| 2 | 2022 | 41 | |
| 3 | Lactate homeostasis is maintained through regulation of glycolysis and lipolysis Hit paper breakdown → | 2025 | 19 |
| 4 | 2019 | 19 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 9 | |
| 7 | 2024 | 8 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2026 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Daniel Weilandt
Daniel Weilandt is a scholar working on Molecular Biology, Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 13 papers that have together received 160 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Gene Regulatory Network Analysis (4 papers), Fungal and yeast genetics research (2 papers), Diet and metabolism studies (2 papers), Adipose Tissue and Metabolism (2 papers), Protein Structure and Dynamics (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Molecular Biology (133 citations), Health Informatics (2 citations), Biophysics (4 citations), Cancer Research (8 citations) and Biomedical Engineering (22 citations). Daniel Weilandt has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Vassily Hatzimanikatis, Pierre Salvy, Ljubiša Mišković, Michaël Moret, Oliver Hantschel, Carolin C. Lechner, Louise C. Bryan, Sandrine Georgeon, Sinan Kilic and Andreas Bachmann. Their work appears in journals such as Nature Communications, Cell Metabolism, Metabolic Engineering, Bioinformatics and Nature Machine Intelligence.
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.