Daniel Dykas

1.2k citations
16 papers · 729 · h-index 9

Impact in

Papers in

    • Genomics and Rare Diseases 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Connective tissue disorders research 2
    • Ubiquitin and proteasome pathways 1

Daniel Dykas

13 papers receiving 701 citations

Peers

Daniel Dykas
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 198
  • Epidemiology 392
  • Hepatology 62
  • Biochemistry 37
  • Cell Biology 78
Replace Smruti R. Mohanty with:
Smruti R. Mohanty United States
Takehisa Suekane Japan
Stephen B. Hicks United States
Stephan Buch Germany
Yayoi Matsuda Japan
Ryuji FURUKAWA Japan
Giorgio Zanette Italy
Pavai Sthaneshwar Malaysia
Thomas Ness United Kingdom
David McDonald Australia
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Citations per field
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Smruti R. Mohanty · 1×
Citations per year

Countries citing papers authored by Daniel Dykas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Dykas Line = papers co-authored together Daniel Dykas links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011211
2 2010183
3 2015101
4 201956
5 200552
6 201849
7 201741
8 202314
9 201813
10 20065
11 20222
12 20221
13 20151
14 20240
15 20230
16 20240

About Daniel Dykas

Daniel Dykas is a scholar working on Genetics, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 16 papers that have together received 729 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Prenatal Screening and Diagnostics (2 papers), Connective tissue disorders research (2 papers), Ubiquitin and proteasome pathways (1 paper) and Aortic aneurysm repair treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (198 citations), Epidemiology (392 citations), Hepatology (62 citations), Biochemistry (37 citations) and Cell Biology (78 citations). Daniel Dykas has collaborated with scholars based in United States, Italy and Iran. Frequent co-authors include A. Bale, Sonia Caprio, Nicola Santoro, Bridget Pierpont, Melissa Shaw, Hongyu Zhao, Romy Kursawe, Roger D. Klein, A.J. Pakstis and Leif Groop. Their work appears in journals such as Hepatology, Clinical Chemistry, Circulation Cardiovascular Genetics, Arteriosclerosis Thrombosis and Vascular Biology and Blood.

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.

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