David A. Nelles
Impact in
- Aging top 5%
Papers in
-
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 4
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 3
- DNA and Nucleic Acid Chemistry 2
- RNA Research and Splicing 2
- RNA regulation and disease 2
-
- Genetic Neurodegenerative Diseases 2
- Co-authors
- G Yeo (10 shared papers)Sebastian Markmiller (2 shared papers)Mark Y. Fang (2 shared papers)Jennifer A. Doudna (1 shared paper)Jia Xu (1 shared paper)Mitchell R. O’Connell (1 shared paper)Stefan Aigner (3 shared papers)Nathan C. Gianneschi (4 shared papers)
- Journals
- Cell (2 papers)Nature Biomedical Engineering (1 paper)Journal of the American Chemical Society (1 paper)Advances in experimental medicine and biology (1 paper)BioEssays (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
David A. Nelles
10 papers receiving 943 citations
David A. Nelles's Hit Papers
Peers
Comparison fields: 5 of 57
- Business and International Management 54
- Aging 46
- Molecular Biology 890
- Cancer Research 188
- Cellular and Molecular Neuroscience 93
Countries citing papers authored by David A. Nelles
This map shows the geographic impact of David A. Nelles'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 David A. Nelles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Nelles more than expected).
Fields of papers citing papers by David A. Nelles
This network shows the impact of papers produced by David A. Nelles. 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 David A. Nelles. The network helps show where David A. Nelles may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Nelles, 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 | Programmable RNA Tracking in Live Cells with CRISPR/Cas9 Hit paper breakdown → | 2016 | 410 |
| 2 | 2017 | 191 | |
| 3 | 2015 | 161 | |
| 4 | 2014 | 58 | |
| 5 | 2020 | 43 | |
| 6 | 2015 | 30 | |
| 7 | 2017 | 27 | |
| 8 | 2019 | 20 | |
| 9 | 2010 | 10 | |
| 10 | 2019 | 7 |
About David A. Nelles
David A. Nelles is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Cancer Research and Infectious Diseases, having authored 10 papers that have together received 957 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA Research and Splicing (2 papers), Genetic Neurodegenerative Diseases (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Business and International Management (54 citations), Aging (46 citations), Molecular Biology (890 citations), Cancer Research (188 citations) and Cellular and Molecular Neuroscience (93 citations). David A. Nelles has collaborated with scholars based in United States and Singapore. Frequent co-authors include G Yeo, Sebastian Markmiller, Mark Y. Fang, Jennifer A. Doudna, Jia Xu, Mitchell R. O’Connell, Stefan Aigner, Nathan C. Gianneschi, Ranjan Batra and Maurice S. Swanson. Their work appears in journals such as Cell, Nature Biomedical Engineering, Journal of the American Chemical Society, Advances in experimental medicine and biology and BioEssays.
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.