David A. Nelles

1.2k citations
10 papers · 957 indexed · 1 hit paper · h-index 9
Topics
RNA Interference and Gene Delivery (5 papers)Advanced biosensing and bioanalysis techniques (4 papers)CRISPR and Genetic Engineering (3 papers)
Partner nations
United StatesSingapore

In The Last Decade

David A. Nelles

10 papers receiving 943 citations

Hit Papers

Programmable RNA Tracking in Live Cells with CRISPR/Cas920162026201920222016100200300400

Peers

David A. Nelles
Comparison fields: 5 of 57
  • Molecular Biology 890
  • Cancer Research 188
  • Cellular and Molecular Neuroscience 93
  • Genetics 83
  • Business and International Management 54
Replace Emma J. K. Kowal with:
Emma J. K. Kowal United States
Siyuan Tan United States
J. Zachery Cogan United States
Chunting Ye United States
Yixuan Wang China
Xin D. Gao United States
Garrett R. Rettig United States
Namritha Ravinder United States
Josephine M. Janssen Netherlands
Elizabeth A. Boydston United States
David A. Nelles relative to Emma J. K. Kowal United States Emma J. K. Kowal's profile →
Citations per field
00.5×4.0×
Emma J. K. Kowal · 1×
Citations per year

Countries citing papers authored by David A. Nelles

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David A. Nelles

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Nelles. A scholar is included among the top collaborators of David A. Nelles based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David A. Nelles. David A. Nelles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 43
2 20
3 7
4 191
5 27
6
Programmable RNA Tracking in Live Cells with CRISPR/Cas9breakdown →
410
7 161
8 30
9 58
10 10

About David A. Nelles

David A. Nelles is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research, 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) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Business and International Management (54 citations), Aging (46 citations) and Molecular Biology (890 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, Mitchell R. O’Connell, Jia Xu, Stefan Aigner, Nathan C. Gianneschi, James D. Thomas and Steven M. Blue. Their work appears in journals such as Cell, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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.

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