Daniel Muthas
Impact in
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- Computational Drug Discovery Methods
- Genetics top 5%
- Genetic Associations and Epidemiology
- Inflammatory Bowel Disease
- Genomics and Rare Diseases
Papers in
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- Computational Drug Discovery Methods 8
- Genetics 6
- Genetic Associations and Epidemiology 4
- Co-authors
- Anders Karlén (8 shared papers)Scott K. Boyer (3 shared papers)Yogesh A. Sabnis (2 shared papers)Ruth Brenk (1 shared paper)Stefan Schmitt (1 shared paper)Aurijit Sarkar (1 shared paper)Carina Kärrman Mårdh (1 shared paper)Mark Berner Hansen (1 shared paper)
- Journals
- Nature (3 papers)Respiratory Research (3 papers)MedChemComm (2 papers)ERJ Open Research (2 papers)Bioorganic & Medicinal Chemistry (2 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Daniel Muthas
33 papers receiving 1.7k citations
Daniel Muthas's Hit Papers
Peers
Comparison fields: 5 of 101
- Computational Theory and Mathematics 295
- Genetics 447
- Pharmacology 73
- Organic Chemistry 206
- Immunology 104
Countries citing papers authored by Daniel Muthas
This map shows the geographic impact of Daniel Muthas'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 Muthas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Muthas more than expected).
Fields of papers citing papers by Daniel Muthas
This network shows the impact of papers produced by Daniel Muthas. 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 Muthas. The network helps show where Daniel Muthas may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Muthas, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rare variant contribution to human disease in 281,104 UK Biobank exomes Hit paper breakdown → | 2021 | 354 |
| 2 | Unexplored therapeutic opportunities in the human genome Hit paper breakdown → | 2018 | 275 |
| 3 | 2016 | 155 | |
| 4 | Rare variant associations with plasma protein levels in the UK Biobank Hit paper breakdown → | 2023 | 107 |
| 5 | 2007 | 85 | |
| 6 | 2009 | 81 | |
| 7 | 2013 | 80 | |
| 8 | 2019 | 76 | |
| 9 | 2011 | 74 | |
| 10 | 2007 | 52 | |
| 11 | 2024 | 49 | |
| 12 | 2020 | 39 | |
| 13 | 2005 | 35 | |
| 14 | 2013 | 34 | |
| 15 | 2021 | 34 | |
| 16 | 2012 | 32 | |
| 17 | 2007 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2024 | 27 | |
| 20 | 2019 | 20 |
About Daniel Muthas
Daniel Muthas is a scholar working on Computational Theory and Mathematics, Genetics, Pulmonary and Respiratory Medicine, Rheumatology and Toxicology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers), Chemical Synthesis and Analysis (4 papers), Genetic Associations and Epidemiology (4 papers), Systemic Lupus Erythematosus Research (3 papers), Nausea and vomiting management (2 papers) and Pharmacovigilance and Adverse Drug Reactions (2 papers). The work is most often cited by research in Computational Theory and Mathematics (295 citations), Genetics (447 citations), Pharmacology (73 citations), Organic Chemistry (206 citations) and Immunology (104 citations). Daniel Muthas has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Anders Karlén, Scott K. Boyer, Yogesh A. Sabnis, Ruth Brenk, Stefan Schmitt, Aurijit Sarkar, Carina Kärrman Mårdh, Mark Berner Hansen, Anna Reznichenko and Ib Groth Clausen. Their work appears in journals such as Nature, Respiratory Research, MedChemComm, ERJ Open Research and Bioorganic & 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.