Daniel Nedelcu
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Receptor Mechanisms and Signaling
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
- Lipid Membrane Structure and Behavior 1
- RNA Interference and Gene Delivery 1
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- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Adrian Salic (4 shared papers)Cindy Y. Jao (3 shared papers)Pengxiang Huang (2 shared papers)Jing Liu (2 shared papers)Youngchang Kim (2 shared papers)Miyako Watanabe (1 shared paper)Jing Liu (1 shared paper)Yangqing Xu (1 shared paper)
- Journals
- Cell (2 papers)ChemBioChem (1 paper)Neuron (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Daniel Nedelcu
7 papers receiving 785 citations
Peers
Comparison fields: 5 of 75
- Aging 31
- Molecular Biology 647
- Genetics 170
- Cellular and Molecular Neuroscience 108
- Cancer Research 58
Countries citing papers authored by Daniel Nedelcu
This map shows the geographic impact of Daniel Nedelcu'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 Nedelcu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nedelcu more than expected).
Fields of papers citing papers by Daniel Nedelcu
This network shows the impact of papers produced by Daniel Nedelcu. 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 Nedelcu. The network helps show where Daniel Nedelcu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Nedelcu, 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 | 2016 | 281 | |
| 2 | 2013 | 162 | |
| 3 | 2018 | 138 | |
| 4 | 2017 | 83 | |
| 5 | 2006 | 65 | |
| 6 | 2015 | 42 | |
| 7 | 2019 | 18 |
About Daniel Nedelcu
Daniel Nedelcu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 7 papers that have together received 789 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (2 papers), Neuroendocrine regulation and behavior (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Lipid Membrane Structure and Behavior (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Aging (31 citations), Molecular Biology (647 citations), Genetics (170 citations), Cellular and Molecular Neuroscience (108 citations) and Cancer Research (58 citations). Daniel Nedelcu has collaborated with scholars based in United States and Australia. Frequent co-authors include Adrian Salic, Cindy Y. Jao, Pengxiang Huang, Jing Liu, Youngchang Kim, Miyako Watanabe, Jing Liu, Yangqing Xu, Stephen L. Mayo and Thomas P. Treynor. Their work appears in journals such as Cell, ChemBioChem, Neuron, Proceedings of the National Academy of Sciences and Nature Chemical Biology.
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.