Daniel Savic
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Genetics top 10%
Papers in
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- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 7
- RNA Research and Splicing 5
- Wnt/β-catenin signaling in development and cancer 3
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- Acute Lymphoblastic Leukemia research 8
- Co-authors
- R Myers (11 shared papers)Marcelo A. Nóbrega (6 shared papers)E. Christopher Partridge (4 shared papers)Noboru J. Sakabe (1 shared paper)Jason Gertz (4 shared papers)Graeme I. Bell (4 shared papers)Katherine E. Varley (1 shared paper)Alexias Safi (1 shared paper)
- Journals
- Genome Research (4 papers)JNCI Journal of the National Cancer Institute (2 papers)Leukemia (2 papers)PLoS ONE (2 papers)Blood (2 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Daniel Savic
25 papers receiving 976 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 708
- Genetics 230
- Cancer Research 118
- Immunology 164
- Aging 11
Countries citing papers authored by Daniel Savic
This map shows the geographic impact of Daniel Savic'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 Savic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Savic more than expected).
Fields of papers citing papers by Daniel Savic
This network shows the impact of papers produced by Daniel Savic. 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 Savic. The network helps show where Daniel Savic may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Savic, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 241 | |
| 2 | 2012 | 111 | |
| 3 | 2011 | 102 | |
| 4 | 2015 | 94 | |
| 5 | 2020 | 81 | |
| 6 | 2017 | 80 | |
| 7 | 2019 | 70 | |
| 8 | 2016 | 30 | |
| 9 | 2015 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2013 | 20 | |
| 12 | 2011 | 18 | |
| 13 | 2012 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2016 | 6 |
About Daniel Savic
Daniel Savic is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Oncology and Immunology, having authored 26 papers that have together received 981 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (7 papers), RNA Research and Splicing (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Immune Cell Function and Interaction (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Molecular Biology (708 citations), Genetics (230 citations), Cancer Research (118 citations), Immunology (164 citations) and Aging (11 citations). Daniel Savic has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include R Myers, Marcelo A. Nóbrega, E. Christopher Partridge, Noboru J. Sakabe, Jason Gertz, Graeme I. Bell, Katherine E. Varley, Alexias Safi, Timothy E. Reddy and Gregory E. Crawford. Their work appears in journals such as Genome Research, JNCI Journal of the National Cancer Institute, Leukemia, PLoS ONE 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.