Jeff Nivala
Impact in
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Biomedical Engineering top 5%
- Nanopore and Nanochannel Transport Studies
- Microfluidic and Capillary Electrophoresis Applications
Papers in
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- Advanced biosensing and bioanalysis techniques 17
- DNA and Biological Computing 8
- CRISPR and Genetic Engineering 5
- Gene Regulatory Network Analysis 3
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- Nanopore and Nanochannel Transport Studies 12
- Microfluidic and Capillary Electrophoresis Applications 4
- Microfluidic and Bio-sensing Technologies 3
- Co-authors
- Luís Ceze (8 shared papers)Karin Strauß (8 shared papers)Mark Akeson (2 shared papers)Seth L. Shipman (4 shared papers)George M. Church (4 shared papers)Jeffrey D. Macklis (2 shared papers)Keisuke Motone (3 shared papers)Logan Mulroney (1 shared paper)
- Journals
- Nature Communications (6 papers)Nature (4 papers)Nature Biotechnology (2 papers)Nature Methods (1 paper)iScience (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Jeff Nivala
26 papers receiving 1.6k citations
Jeff Nivala's Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.2k
- Biomedical Engineering 630
- Structural Biology 17
- Business and International Management 16
- Aging 11
Countries citing papers authored by Jeff Nivala
This map shows the geographic impact of Jeff Nivala'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 Jeff Nivala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Nivala more than expected).
Fields of papers citing papers by Jeff Nivala
This network shows the impact of papers produced by Jeff Nivala. 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 Jeff Nivala. The network helps show where Jeff Nivala may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Nivala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular digital data storage using DNA Hit paper breakdown → | 2019 | 360 |
| 2 | 2013 | 281 | |
| 3 | 2017 | 222 | |
| 4 | 2016 | 154 | |
| 5 | 2014 | 101 | |
| 6 | 2022 | 91 | |
| 7 | Multi-pass, single-molecule nanopore reading of long protein strands Hit paper breakdown → | 2024 | 77 |
| 8 | 2011 | 56 | |
| 9 | 2022 | 53 | |
| 10 | 2020 | 38 | |
| 11 | 2021 | 37 | |
| 12 | 2023 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2024 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2011 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 8 |
About Jeff Nivala
Jeff Nivala is a scholar working on Molecular Biology, Biomedical Engineering, Mechanical Engineering, Structural Biology and Computational Theory and Mathematics, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), Nanopore and Nanochannel Transport Studies (12 papers), DNA and Biological Computing (8 papers), Modular Robots and Swarm Intelligence (5 papers), CRISPR and Genetic Engineering (5 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Biomedical Engineering (630 citations), Structural Biology (17 citations), Business and International Management (16 citations) and Aging (11 citations). Jeff Nivala has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Luís Ceze, Karin Strauß, Mark Akeson, Seth L. Shipman, George M. Church, Jeffrey D. Macklis, Keisuke Motone, Logan Mulroney, Jacob Schreiber and Yuan-Jyue Chen. Their work appears in journals such as Nature Communications, Nature, Nature Biotechnology, Nature Methods and iScience.
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.