Ronit Freeman

17.1k total citations · 6 hit papers
103 papers, 15.0k citations indexed

About

Ronit Freeman is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Ronit Freeman has authored 103 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 32 papers in Materials Chemistry and 27 papers in Biomedical Engineering. Recurrent topics in Ronit Freeman's work include Advanced biosensing and bioanalysis techniques (56 papers), RNA Interference and Gene Delivery (20 papers) and Biosensors and Analytical Detection (19 papers). Ronit Freeman is often cited by papers focused on Advanced biosensing and bioanalysis techniques (56 papers), RNA Interference and Gene Delivery (20 papers) and Biosensors and Analytical Detection (19 papers). Ronit Freeman collaborates with scholars based in Israel, United States and Germany. Ronit Freeman's co-authors include Itamar Willner, Michael J. Natan, Katherine C. Grabar, Ron Gill, Xiaoqing Liu, Eyal Golub, Etery Sharon, Christine D. Keating, Michael A. Jackson and Marcelo E. Piotti and has published in prestigious journals such as Science, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Ronit Freeman

103 papers receiving 14.8k citations

Hit Papers

Preparation and Character... 1995 2026 2005 2015 1995 1995 2001 2010 2009 500 1000 1.5k 2.0k 2.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ronit Freeman 8.2k 5.8k 5.5k 4.2k 3.0k 103 15.0k
James J. Storhoff 9.8k 1.2× 5.2k 0.9× 5.6k 1.0× 6.7k 1.6× 2.1k 0.7× 29 16.0k
Robert C. Mucic 8.9k 1.1× 5.0k 0.9× 5.2k 0.9× 6.4k 1.5× 2.0k 0.7× 12 14.1k
Weiqing Xu 5.3k 0.6× 11.0k 1.9× 5.3k 1.0× 5.2k 1.2× 4.4k 1.5× 419 17.4k
Liguang Xu 8.7k 1.1× 6.9k 1.2× 7.9k 1.4× 5.4k 1.3× 1.6k 0.5× 367 18.6k
Michael J. Natan 6.3k 0.8× 6.1k 1.1× 7.3k 1.3× 8.5k 2.0× 3.8k 1.3× 85 16.7k
Li Li 7.0k 0.9× 4.3k 0.7× 4.7k 0.9× 1.6k 0.4× 2.1k 0.7× 380 12.7k
Dai‐Wen Pang 9.9k 1.2× 9.7k 1.7× 8.0k 1.5× 1.2k 0.3× 3.8k 1.3× 446 21.6k
Kemin Wang 17.1k 2.1× 9.1k 1.6× 9.8k 1.8× 2.2k 0.5× 2.8k 0.9× 643 26.1k
Marie‐Christine Daniel 3.2k 0.4× 7.5k 1.3× 3.4k 0.6× 5.9k 1.4× 3.2k 1.1× 66 14.9k
Shiping Song 12.8k 1.6× 4.5k 0.8× 8.1k 1.5× 1.9k 0.5× 3.3k 1.1× 169 16.6k

Countries citing papers authored by Ronit Freeman

Since Specialization
Citations

This map shows the geographic impact of Ronit Freeman'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 Ronit Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronit Freeman more than expected).

Fields of papers citing papers by Ronit Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronit Freeman. 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 Ronit Freeman. The network helps show where Ronit Freeman may publish in the future.

Co-authorship network of co-authors of Ronit Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Ronit Freeman. A scholar is included among the top collaborators of Ronit Freeman 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 Ronit Freeman. Ronit Freeman 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.
Edelmaier, C. J., Qunzhao Wang, Sonya M. Hanson, et al.. (2025). Charge distribution and helicity tune the binding of septin's amphipathic helix domain to membranes. Biophysical Journal. 124(8). 1298–1312. 1 indexed citations
2.
Jian, Tengyue, Yuan Gao, W. Seth Childers, et al.. (2024). Uncovering supramolecular chirality codes for the design of tunable biomaterials. Nature Communications. 15(1). 788–788. 23 indexed citations
3.
Wessler, Timothy, Alex Chen, Richard C. Boucher, et al.. (2023). Modeling identifies variability in SARS-CoV-2 uptake and eclipse phase by infected cells as principal drivers of extreme variability in nasal viral load in the 48 h post infection. Journal of Theoretical Biology. 565. 111470–111470. 5 indexed citations
4.
Jian, Tengyue, et al.. (2023). From the lab to the field: handheld surface enhanced Raman spectroscopy (SERS) detection of viral proteins. Sensors & Diagnostics. 2(6). 1483–1491. 4 indexed citations
5.
Vásquez, Paula A., Kerry Bloom, Ronit Freeman, et al.. (2023). The power of weak, transient interactions across biology: A paradigm of emergent behavior. Physica D Nonlinear Phenomena. 454. 133866–133866. 2 indexed citations
6.
Narayanan, Raghu Pradeep, et al.. (2022). Bioactive Fibronectin-III 10 –DNA Origami Nanofibers Promote Cell Adhesion and Spreading. ACS Applied Bio Materials. 5(10). 4625–4634. 9 indexed citations
7.
Markovetz, Matthew R., Ian C. Garbarine, Cameron B. Morrison, et al.. (2022). Mucus and mucus flake composition and abundance reflect inflammatory and infection status in cystic fibrosis. Journal of Cystic Fibrosis. 21(6). 959–966. 9 indexed citations
8.
Jian, Tengyue, et al.. (2021). A Programmable Toolkit to Dynamically Signal Cells Using Peptide Strand Displacement. ACS Applied Materials & Interfaces. 13(18). 21018–21029. 3 indexed citations
9.
Kim, Sang Hoon, Fiona L. Kearns, Mia A. Rosenfeld, et al.. (2021). GlycoGrip: Cell Surface-Inspired Universal Sensor for Betacoronaviruses. ACS Central Science. 8(1). 22–42. 34 indexed citations
10.
Jian, Tengyue, et al.. (2021). Catching COVID: Engineering Peptide-Modified Surface-Enhanced Raman Spectroscopy Sensors for SARS-CoV-2. ACS Sensors. 6(9). 3436–3444. 50 indexed citations
11.
Simmons, C.R., et al.. (2019). Hierarchical Assembly of Nucleic Acid/Coiled-Coil Peptide Nanostructures. Journal of the American Chemical Society. 142(3). 1406–1416. 68 indexed citations
12.
Freeman, Ronit, Ming Han, Zaida Álvarez, et al.. (2018). Reversible self-assembly of superstructured networks. Science. 362(6416). 808–813. 295 indexed citations
13.
Freeman, Ronit, Job Boekhoven, Matthew B. Dickerson, Rajesh R. Naik, & Samuel I. Stupp. (2015). Biopolymers and supramolecular polymers as biomaterials for biomedical applications. MRS Bulletin. 40(12). 1089–1101. 47 indexed citations
15.
Freeman, Ronit, Yang Li, Ran Tel‐Vered, et al.. (2009). Self-assembly of supramolecular aptamer structures for optical or electrochemical sensing. The Analyst. 134(4). 653–653. 106 indexed citations
16.
Freeman, Ronit, et al.. (2009). Multiplexed Analysis of Hg2+ and Ag+ Ions by Nucleic Acid Functionalized CdSe/ZnS Quantum Dots and Their Use for Logic Gate Operations. Angewandte Chemie International Edition. 48(42). 7818–7821. 460 indexed citations
17.
Freeman, Ronit, Ron Gill, Itzhak Shweky, et al.. (2008). Biosensing and Probing of Intracellular Metabolic Pathways by NADH‐Sensitive Quantum Dots. Angewandte Chemie. 121(2). 315–319. 27 indexed citations
18.
Gill, Ron, et al.. (2008). Optical Detection of Glucose and Acetylcholine Esterase Inhibitors by H2O2‐Sensitive CdSe/ZnS Quantum Dots. Angewandte Chemie International Edition. 47(9). 1676–1679. 231 indexed citations
19.
Freeman, Ronit, Paul A. Raju, Scott M. Norton, et al.. (2005). Use of Nanobarcodes<SUP>®</SUP> Particles in Bioassays. Humana Press eBooks. 303. 73–84. 10 indexed citations
20.
Freeman, Ronit, et al.. (1990). Second Harmonic Detection of Sinusoidally Modulated Two-Photon Excited Fluorescence. PD3–PD3. 1 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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