Daniel S. Levic
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Cellular transport and secretion
- Caveolin-1 and cellular processes
- Proteoglycans and glycosaminoglycans research
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- Cell Adhesion Molecules Research
Papers in
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- Developmental Biology and Gene Regulation 2
- RNA Research and Splicing 2
- Lipid Membrane Structure and Behavior 2
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- Cellular transport and secretion 3
- Zebrafish Biomedical Research Applications 3
- Co-authors
- Ela W. Knapik (8 shared papers)Michel Bagnat (11 shared papers)D. Melville (4 shared papers)Jennifer Bagwell (4 shared papers)John H. Postlethwait (1 shared paper)B. Frank Eames (1 shared paper)Mary E. Swartz (1 shared paper)Yi‐Lin Yan (1 shared paper)
- Journals
- Developmental Cell (2 papers)Development (2 papers)eLife (2 papers)The International Journal of Biochemistry & Cell Biology (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Daniel S. Levic
17 papers receiving 531 citations
Peers
Comparison fields: 5 of 82
- Cell Biology 244
- Immunology and Allergy 35
- Molecular Biology 283
- Genetics 100
- Rheumatology 40
Countries citing papers authored by Daniel S. Levic
This map shows the geographic impact of Daniel S. Levic'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 S. Levic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Levic more than expected).
Fields of papers citing papers by Daniel S. Levic
This network shows the impact of papers produced by Daniel S. Levic. 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 S. Levic. The network helps show where Daniel S. Levic may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Levic, 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 | 108 | |
| 2 | 2019 | 81 | |
| 3 | 2017 | 70 | |
| 4 | 2011 | 53 | |
| 5 | 2013 | 45 | |
| 6 | 2015 | 43 | |
| 7 | 2021 | 27 | |
| 8 | 2015 | 23 | |
| 9 | 2019 | 20 | |
| 10 | 2013 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2021 | 12 | |
| 13 | 2025 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2015 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Daniel S. Levic
Daniel S. Levic is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Allergy and Surgery, having authored 20 papers that have together received 536 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Zebrafish Biomedical Research Applications (3 papers), Cell Adhesion Molecules Research (3 papers), Ovarian function and disorders (2 papers), Developmental Biology and Gene Regulation (2 papers), RNA Research and Splicing (2 papers), Connective tissue disorders research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cell Biology (244 citations), Immunology and Allergy (35 citations), Molecular Biology (283 citations), Genetics (100 citations) and Rheumatology (40 citations). Daniel S. Levic has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Ela W. Knapik, Michel Bagnat, D. Melville, Jennifer Bagwell, John H. Postlethwait, B. Frank Eames, Mary E. Swartz, Yi‐Lin Yan, Charles B. Kimmel and Gökhan Ünlü. Their work appears in journals such as Developmental Cell, Development, eLife, The International Journal of Biochemistry & Cell Biology and Journal of Molecular 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.