Daniel Ziemek
Impact in
- Health Informatics top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology
Papers in
-
- Rheumatoid Arthritis Research and Therapies 7
- Genetics 10
- Genetic Associations and Epidemiology 6
- Co-authors
- Ben S. Sidders (5 shared papers)Ahmed E. EnayetAllah (7 shared papers)Leonid Chindelevitch (4 shared papers)Ranjit Randhawa (3 shared papers)Mateusz Maciejewski (9 shared papers)Enoch S. Huang (2 shared papers)Kourosh Zarringhalam (5 shared papers)Teresa M. Przytycka (1 shared paper)
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (4 papers)Scientific Reports (4 papers)PLoS ONE (3 papers)BMC Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Ziemek
44 papers receiving 3.3k citations
Daniel Ziemek's Hit Papers
Peers
Comparison fields: 5 of 143
- Health Informatics 48
- Genetics 691
- Molecular Biology 1.3k
- Nephrology 128
- Rheumatology 239
Countries citing papers authored by Daniel Ziemek
This map shows the geographic impact of Daniel Ziemek'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 Ziemek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ziemek more than expected).
Fields of papers citing papers by Daniel Ziemek
This network shows the impact of papers produced by Daniel Ziemek. 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 Ziemek. The network helps show where Daniel Ziemek may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ziemek, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An atlas of genetic influences on human blood metabolites Hit paper breakdown → | 2014 | 1158 |
| 2 | From hype to reality: data science enabling personalized medicine Hit paper breakdown → | 2018 | 318 |
| 3 | 2017 | 247 | |
| 4 | 2018 | 162 | |
| 5 | 2013 | 143 | |
| 6 | 2012 | 112 | |
| 7 | 2020 | 109 | |
| 8 | 2016 | 107 | |
| 9 | 2016 | 98 | |
| 10 | 2018 | 80 | |
| 11 | 2019 | 56 | |
| 12 | 2020 | 54 | |
| 13 | 2019 | 49 | |
| 14 | 2012 | 48 | |
| 15 | 2021 | 48 | |
| 16 | 2011 | 46 | |
| 17 | 2021 | 46 | |
| 18 | 2014 | 40 | |
| 19 | 2021 | 39 | |
| 20 | 2021 | 34 |
About Daniel Ziemek
Daniel Ziemek is a scholar working on Rheumatology, Genetics, Molecular Biology, Biochemistry and Immunology, having authored 44 papers that have together received 3.3k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (7 papers), Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Single-cell and spatial transcriptomics (2 papers), Pancreatic function and diabetes (2 papers), Gene expression and cancer classification (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Health Informatics (48 citations), Genetics (691 citations), Molecular Biology (1.3k citations), Nephrology (128 citations) and Rheumatology (239 citations). Daniel Ziemek has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ben S. Sidders, Ahmed E. EnayetAllah, Leonid Chindelevitch, Ranjit Randhawa, Mateusz Maciejewski, Enoch S. Huang, Kourosh Zarringhalam, Teresa M. Przytycka, Michael Rebhan and Holger Fröhlich. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Scientific Reports, PLoS ONE and BMC Medicine.
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.