Jeff Nivala

2.7k total citations · 2 hit papers
26 papers, 1.5k citations indexed

About

Jeff Nivala is a scholar working on Molecular Biology, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Jeff Nivala has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Biomedical Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Jeff Nivala's work include Advanced biosensing and bioanalysis techniques (17 papers), Nanopore and Nanochannel Transport Studies (11 papers) and DNA and Biological Computing (8 papers). Jeff Nivala is often cited by papers focused on Advanced biosensing and bioanalysis techniques (17 papers), Nanopore and Nanochannel Transport Studies (11 papers) and DNA and Biological Computing (8 papers). Jeff Nivala collaborates with scholars based in United States, United Kingdom and Japan. Jeff Nivala's co-authors include Luís Ceze, Karin Strauß, Mark Akeson, George M. Church, Seth L. Shipman, Jeffrey D. Macklis, Keisuke Motone, Jacob Schreiber, Logan Mulroney and Yuan-Jyue Chen and has published in prestigious journals such as Nature, Science and Chemical Society Reviews.

In The Last Decade

Jeff Nivala

25 papers receiving 1.5k citations

Hit Papers

Molecular digital data storage using DNA 2019 2026 2021 2023 2019 2024 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Molecular digital data storage using DNA
    2019 350 citations Luís Ceze, Jeff Nivala et al. Nature Reviews Genetics profile →
  2. Multi-pass, single-molecule nanopore reading of long protein strands
    2024 60 citations Keisuke Motone, Miten Jain et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeff Nivala United States 15 1.1k 604 165 160 122 26 1.5k
Elizabeth A. Strychalski United States 17 929 0.8× 549 0.9× 116 0.7× 48 0.3× 23 0.2× 34 1.4k
Leonidas Bleris United States 22 1.2k 1.1× 229 0.4× 121 0.7× 52 0.3× 18 0.1× 65 1.9k
Masahiro Takinoue Japan 25 956 0.8× 1.0k 1.7× 380 2.3× 170 1.1× 58 0.5× 102 1.9k
Yolanda Schaerli Switzerland 18 804 0.7× 1.4k 2.3× 662 4.0× 48 0.3× 62 0.5× 38 2.1k
Michael Bartsch United States 20 520 0.5× 453 0.8× 524 3.2× 94 0.6× 26 0.2× 40 1.8k
Arvind Balijepalli United States 16 379 0.3× 736 1.2× 255 1.5× 42 0.3× 157 1.3× 43 977
Tomasz S. Kamiński Poland 22 516 0.4× 1.3k 2.2× 533 3.2× 37 0.2× 45 0.4× 43 1.8k
Angelo Rosa Italy 22 842 0.7× 302 0.5× 56 0.3× 100 0.6× 30 0.2× 58 1.8k
Joseph Larkin United States 13 443 0.4× 803 1.3× 258 1.6× 18 0.1× 213 1.7× 29 1.2k
Denitsa Milanova United States 9 509 0.4× 374 0.6× 55 0.3× 219 1.4× 50 0.4× 11 974

Countries citing papers authored by Jeff Nivala

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jeff Nivala

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Nivala. A scholar is included among the top collaborators of Jeff Nivala 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 Jeff Nivala. Jeff Nivala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Organick, Lee, Jeff McBride, Sten Bay Jørgensen, et al.. (2025). Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design. Nature Communications. 16(1). 6388–6388.
2.
Yekhanin, Sergey, Hao Jiang, Jeff Nivala, et al.. (2025). Hybridization-encoded DNA tags with paper-based readout for anti-forgery raw material tracking. Nature Communications. 16(1). 5832–5832. 1 indexed citations
3.
Parmeggiani, Fabio, et al.. (2024). Data hazards in synthetic biology. PubMed. 9(1). ysae010–ysae010. 6 indexed citations
4.
Gines, Guillaume, et al.. (2024). Harnessing DNA computing and nanopore decoding for practical applications: from informatics to microRNA-targeting diagnostics. Chemical Society Reviews. 54(1). 8–32. 6 indexed citations
5.
Motone, Keisuke, et al.. (2024). Multi-pass, single-molecule nanopore reading of long protein strands. Nature. 633(8030). 662–669. 60 indexed citations breakdown →
6.
Nivala, Jeff, et al.. (2024). ‘Do-it-yourself’ data storage on DNA paves way to simple archiving system. Nature. 634(8035). 787–788. 1 indexed citations
7.
Motone, Keisuke & Jeff Nivala. (2023). Not if but when nanopore protein sequencing meets single-cell proteomics. Nature Methods. 20(3). 336–338. 19 indexed citations
8.
Nivala, Jeff, et al.. (2023). Barcoding biomarkers with nanopore sequencing. Nature Nanotechnology. 18(12). 1385–1386. 3 indexed citations
9.
Kuzdraliński, Adam, et al.. (2023). Unlocking the potential of DNA-based tagging: current market solutions and expanding horizons. Nature Communications. 14(1). 6052–6052. 8 indexed citations
10.
Chen, Yuan-Jyue, et al.. (2022). A nanopore interface for higher bandwidth DNA computing. Nature Communications. 13(1). 4904–4904. 15 indexed citations
11.
Nguyen, Bichlien H., Yuan-Jyue Chen, Jeff Nivala, et al.. (2022). Synthetic DNA applications in information technology. Nature Communications. 13(1). 352–352. 86 indexed citations
12.
Lockshin, Elana R., et al.. (2022). Recording gene expression order in DNA by CRISPR addition of retron barcodes. Nature. 608(7921). 217–225. 47 indexed citations
13.
Bogard, Nicholas, et al.. (2021). Multiplexed direct detection of barcoded protein reporters on a nanopore array. Nature Biotechnology. 40(1). 42–46. 35 indexed citations
14.
Motone, Keisuke, et al.. (2021). Herding cats: Label-based approaches in protein translocation through nanopore sensors for single-molecule protein sequence analysis. iScience. 24(9). 103032–103032. 14 indexed citations
15.
Organick, Lee, et al.. (2021). DNA Sequencing Flow Cells and the Security of the Molecular-Digital Interface. SHILAP Revista de lepidopterología. 2021(3). 413–432. 1 indexed citations
16.
Strauß, Karin, et al.. (2020). Rapid and robust assembly and decoding of molecular tags with DNA-based nanopore signatures. Nature Communications. 11(1). 5454–5454. 38 indexed citations
17.
Ceze, Luís, Jeff Nivala, & Karin Strauß. (2019). Molecular digital data storage using DNA. Nature Reviews Genetics. 20(8). 456–466. 350 indexed citations breakdown →
18.
Shipman, Seth L., Jeff Nivala, Jeffrey D. Macklis, & George M. Church. (2017). CRISPR–Cas encoding of a digital movie into the genomes of a population of living bacteria. Nature. 547(7663). 345–349. 218 indexed citations
19.
Nivala, Jeff, et al.. (2013). Unfoldase-mediated protein translocation through an α-hemolysin nanopore. Nature Biotechnology. 31(3). 247–250. 274 indexed citations
20.
Actis, Paolo, Jeff Nivala, Boaz Vilozny, et al.. (2011). Reversible thrombin detection by aptamer functionalized STING sensors. Biosensors and Bioelectronics. 26(11). 4503–4507. 55 indexed citations

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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