Daniel Dykas
Impact in
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- Diet, Metabolism, and Disease
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Hedgehog Signaling Pathway Studies 2
- Genetics 6
- Genomics and Rare Diseases 4
- Connective tissue disorders research 2
- Co-authors
- A. Bale (14 shared papers)Bridget Pierpont (3 shared papers)Nicola Santoro (3 shared papers)Sonia Caprio (3 shared papers)Hongyu Zhao (2 shared papers)Romy Kursawe (2 shared papers)Melissa Shaw (2 shared papers)Roger D. Klein (2 shared papers)
- Journals
- Hepatology (2 papers)Clinical Chemistry (1 paper)Journal of Hepatology (1 paper)EBioMedicine (1 paper)The Annals of Thoracic Surgery (1 paper)
- Partner nations
- United StatesItalySweden
In The Last Decade
Daniel Dykas
13 papers receiving 662 citations
Peers
Comparison fields: 5 of 58
- Endocrinology, Diabetes and Metabolism 284
- Epidemiology 423
- Hepatology 77
- Biochemistry 56
- Cardiology and Cardiovascular Medicine 133
Countries citing papers authored by Daniel Dykas
This map shows the geographic impact of Daniel Dykas'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 Dykas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dykas more than expected).
Fields of papers citing papers by Daniel Dykas
This network shows the impact of papers produced by Daniel Dykas. 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 Dykas. The network helps show where Daniel Dykas may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dykas, 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 | 2011 | 194 | |
| 2 | 2010 | 178 | |
| 3 | 2015 | 92 | |
| 4 | 2005 | 51 | |
| 5 | 2019 | 49 | |
| 6 | 2018 | 47 | |
| 7 | 2017 | 38 | |
| 8 | 2018 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2006 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 |
About Daniel Dykas
Daniel Dykas is a scholar working on Molecular Biology, Genetics, Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 681 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Genomics and Rare Diseases (4 papers), Diet, Metabolism, and Disease (3 papers), Aortic aneurysm repair treatments (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Connective tissue disorders research (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (284 citations), Epidemiology (423 citations), Hepatology (77 citations), Biochemistry (56 citations) and Cardiology and Cardiovascular Medicine (133 citations). Daniel Dykas has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include A. Bale, Bridget Pierpont, Nicola Santoro, Sonia Caprio, Hongyu Zhao, Romy Kursawe, Melissa Shaw, Roger D. Klein, A.J. Pakstis and Grace Kim. Their work appears in journals such as Hepatology, Clinical Chemistry, Journal of Hepatology, EBioMedicine and The Annals of Thoracic Surgery.
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.