Mads Nygaard
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- Autophagy in Disease and Therapy 1
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- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 1
- Machine Learning in Bioinformatics 1
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- Estrogen and related hormone effects 2
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- Growth Hormone and Insulin-like Growth Factors 2
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- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Elena PapaleoBirthe B. KragelundKresten Lindorff‐LarsenMatteo LambrughiVolker DötschFlavie StrappazzonZehan HuFrancesco Cecconi
- Journals
- Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Frontiers in Molecular Biosciences (1 paper)Nature Communications (1 paper)
- Partner nations
- DenmarkUnited KingdomItaly
In The Last Decade
Mads Nygaard
11 papers receiving 420 citations
Peers
Comparison fields: 5 of 83
- Epidemiology 150
- Molecular Biology 293
- Physiology 16
- Cell Biology 49
- Geriatrics and Gerontology 11
Countries citing papers authored by Mads Nygaard
This map shows the geographic impact of Mads Nygaard'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 Mads Nygaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mads Nygaard more than expected).
Fields of papers citing papers by Mads Nygaard
This network shows the impact of papers produced by Mads Nygaard. 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 Mads Nygaard. The network helps show where Mads Nygaard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mads Nygaard, 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 | 2023 | 7 | |
| 2 | 2020 | 21 | |
| 3 | 2019 | 39 | |
| 4 | 2019 | 5 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 207 | |
| 7 | 2017 | 97 | |
| 8 | 2016 | 8 | |
| 9 | 2016 | 24 | |
| 10 | 2015 | 3 | |
| 11 | 2014 | 10 |
About Mads Nygaard
Mads Nygaard is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Biotechnology, Media Technology and Oncology, having authored 11 papers that have together received 425 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Estrogen and related hormone effects (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Bioinformatics and Genomic Networks (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Genomics and Chromatin Dynamics (1 paper), Autophagy in Disease and Therapy (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Epidemiology (150 citations), Molecular Biology (293 citations), Physiology (16 citations), Cell Biology (49 citations) and Geriatrics and Gerontology (11 citations). Mads Nygaard has collaborated with scholars based in Denmark, United Kingdom and Italy. Frequent co-authors include Elena Papaleo, Birthe B. Kragelund, Kresten Lindorff‐Larsen, Matteo Lambrughi, Volker Dötsch, Flavie Strappazzon, Zehan Hu, Francesco Cecconi, Daniela Strobbe and Saı̈d El Alaoui. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Frontiers in Molecular Biosciences, Nature Communications, Journal of Biological Chemistry and Journal of Medicinal Chemistry.
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.