Danny D. Nedialkova
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 5
- Aging top 10%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 7
- RNA Research and Splicing 7
- CRISPR and Genetic Engineering 2
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 4
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- Viral Infections and Immunology Research 5
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- Virus-based gene therapy research 2
- Co-authors
- Sebastian A. LeidelAlexander E. GorbalenyaEric J. SnijderJessika C. Zevenhoven-DobbeJohn ZiebuhrErwin van den BornRachel UlfertsChris Lauber
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Danny D. Nedialkova
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Animal Science and Zoology 199
- Aging 32
- Molecular Biology 892
- Infectious Diseases 200
- Cancer Research 84
Countries citing papers authored by Danny D. Nedialkova
This map shows the geographic impact of Danny D. Nedialkova'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 Danny D. Nedialkova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny D. Nedialkova more than expected).
Fields of papers citing papers by Danny D. Nedialkova
This network shows the impact of papers produced by Danny D. Nedialkova. 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 Danny D. Nedialkova. The network helps show where Danny D. Nedialkova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danny D. Nedialkova, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 28 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 136 | |
| 9 | 2019 | 35 | |
| 10 | 2017 | 73 | |
| 11 | 2016 | 35 | |
| 12 | 2016 | 39 | |
| 13 | 2015 | 154 | |
| 14 | Optimization of Codon Translation Rates via tRNA Modifications Maintains Proteome Integritybreakdown → | 2015 | 410 |
| 15 | 2010 | 52 | |
| 16 | Exploring regulatory functions and enzymatic activities in the nidovirus replicase | 2010 | 1 |
| 17 | 2009 | 86 | |
| 18 | 2007 | 45 | |
| 19 | 2006 | 64 |
About Danny D. Nedialkova
Danny D. Nedialkova is a scholar working on Aging, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (7 papers), Viral Infections and Immunology Research (5 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Virus-based gene therapy research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Animal Science and Zoology (199 citations), Aging (32 citations) and Molecular Biology (892 citations). Danny D. Nedialkova has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Sebastian A. Leidel, Alexander E. Gorbalenya, Eric J. Snijder, Jessika C. Zevenhoven-Dobbe, John Ziebuhr, Erwin van den Born, Rachel Ulferts, Chris Lauber, Clara C. Posthuma and Jeroen H. Blokhuis. Their work appears in journals such as Cell, Nature Communications and The EMBO Journal.
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.