Yonatan Kahn

6.0k total citations · 1 hit paper
59 papers, 2.1k citations indexed

About

Yonatan Kahn is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Astronomy and Astrophysics. According to data from OpenAlex, Yonatan Kahn has authored 59 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Nuclear and High Energy Physics, 22 papers in Atomic and Molecular Physics, and Optics and 17 papers in Astronomy and Astrophysics. Recurrent topics in Yonatan Kahn's work include Dark Matter and Cosmic Phenomena (50 papers), Particle physics theoretical and experimental studies (26 papers) and Atomic and Subatomic Physics Research (20 papers). Yonatan Kahn is often cited by papers focused on Dark Matter and Cosmic Phenomena (50 papers), Particle physics theoretical and experimental studies (26 papers) and Atomic and Subatomic Physics Research (20 papers). Yonatan Kahn collaborates with scholars based in United States, Canada and Israel. Yonatan Kahn's co-authors include Benjamin R. Safdi, Gordan Krnjaic, Jesse Thaler, Yonit Hochberg, Kathryn M. Zurek, Anson Hook, Mariangela Lisanti, Z. T. Sun, David Curtin and Rodolfo Capdevilla and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Reports on Progress in Physics.

In The Last Decade

Yonatan Kahn

57 papers receiving 2.1k citations

Hit Papers

Detecting high-frequency ... 2022 2026 2023 2024 2022 25 50 75 100
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. Detecting high-frequency gravitational waves with microwave cavities
    2022 117 citations Asher Berlin, Diego Blas et al. Physical review. D profile →

Author Peers

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

Author Last Decade Papers Cites
Yonatan Kahn 2.0k 981 756 101 74 59 2.1k
Jeremy Mardon 1.8k 0.9× 983 1.0× 747 1.0× 119 1.2× 56 0.8× 12 1.9k
Tongyan Lin 2.4k 1.2× 1.3k 1.3× 691 0.9× 157 1.6× 72 1.0× 49 2.6k
Mariangela Lisanti 1.9k 1.0× 1.3k 1.3× 623 0.8× 87 0.9× 44 0.6× 72 2.4k
Gordan Krnjaic 2.6k 1.3× 1.4k 1.5× 411 0.5× 60 0.6× 55 0.7× 65 2.8k
G. Carosi 1.5k 0.8× 896 0.9× 658 0.9× 45 0.4× 94 1.3× 28 1.7k
Josef Pradler 2.2k 1.1× 1.4k 1.5× 409 0.5× 90 0.9× 34 0.5× 57 2.3k
Yonit Hochberg 2.1k 1.1× 937 1.0× 801 1.1× 215 2.1× 98 1.3× 45 2.3k
T. Yu 1.7k 0.9× 729 0.7× 492 0.7× 203 2.0× 52 0.7× 31 1.8k
U. Gastaldi 784 0.4× 314 0.3× 740 1.0× 91 0.9× 21 0.3× 67 1.3k
Wen Yin 1.3k 0.7× 1.0k 1.1× 157 0.2× 79 0.8× 62 0.8× 108 1.6k

Countries citing papers authored by Yonatan Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Yonatan Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonatan Kahn

This figure shows the co-authorship network connecting the top 25 collaborators of Yonatan Kahn. A scholar is included among the top collaborators of Yonatan Kahn 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 Yonatan Kahn. Yonatan Kahn 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.
Hooberman, B. H., et al.. (2025). Uncertainty quantification from ensemble variance scaling laws in deep neural networks. Machine Learning Science and Technology. 6(3). 35040–35040. 1 indexed citations
2.
Berlin, Asher & Yonatan Kahn. (2025). New Technologies for Axion and Dark Photon Searches. Annual Review of Nuclear and Particle Science. 75(1). 83–108. 2 indexed citations
3.
Kahn, Yonatan, Jan Schütte-Engel, & Tanner Trickle. (2024). Searching for high-frequency gravitational waves with phonons. Physical review. D. 109(9). 13 indexed citations
4.
Foster, Joshua W., et al.. (2024). Statistics and sensitivity of axion wind detection with the homogeneous precession domain of superfluid helium-3. Physical review. D. 110(11). 2 indexed citations
5.
Berlin, Asher, Diego Blas, Raffaele Tito D’Agnolo, et al.. (2023). Electromagnetic cavities as mechanical bars for gravitational waves. Physical review. D. 108(8). 35 indexed citations
6.
Hochberg, Yonit, et al.. (2023). Directional detection of dark matter with anisotropic response functions. Physical review. D. 108(1). 14 indexed citations
7.
Foster, Joshua W., et al.. (2023). Lumped-element axion dark matter detection beyond the magnetoquasistatic limit. Physical review. D. 108(3). 6 indexed citations
8.
Berlin, Asher, Diego Blas, Raffaele Tito D’Agnolo, et al.. (2022). Detecting high-frequency gravitational waves with microwave cavities. Physical review. D. 105(11). 117 indexed citations breakdown →
9.
Fernandez, Nicolas, Yonatan Kahn, & Jessie Shelton. (2022). Freeze-in, glaciation, and UV sensitivity from light mediators. Journal of High Energy Physics. 2022(7). 8 indexed citations
10.
Gao, Christina, et al.. (2022). Axion Wind Detection with the Homogeneous Precession Domain of Superfluid Helium-3. Physical Review Letters. 129(21). 211801–211801. 12 indexed citations
11.
Kahn, Yonatan. (2022). M3: a new muon missing momentum experiment to probe (g – 2)μ and dark matter at Fermilab. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
12.
Kahn, Yonatan. (2022). The goldstone and goldstino of supersymmetric inflation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
13.
Abbamonte, Peter, D. Baxter, Yonatan Kahn, et al.. (2022). Revisiting the Dark Matter Interpretation of Excess Rates in Semiconductors. arXiv (Cornell University). 3 indexed citations
14.
Blanco, Carlos, et al.. (2021). Dark matter daily modulation with anisotropic organic crystals. Physical review. D. 104(3). 26 indexed citations
15.
Hochberg, Yonit, et al.. (2021). Determining Dark-Matter–Electron Scattering Rates from the Dielectric Function. Physical Review Letters. 127(15). 151802–151802. 64 indexed citations
16.
Kurinsky, Noah, D. Baxter, Yonatan Kahn, & Gordan Krnjaic. (2020). Dark matter interpretation of excesses in multiple direct detection experiments. Physical review. D. 102(1). 30 indexed citations
17.
Blanco, Carlos, et al.. (2020). Dark matter-electron scattering from aromatic organic targets. Physical review. D. 101(5). 50 indexed citations
18.
Kahn, Yonatan, et al.. (2020). Dark Matter Detection With Bound Nuclear Targets: The Poisson Phonon Tail. arXiv (Cornell University). 18 indexed citations
19.
Hochberg, Yonit, Yonatan Kahn, Mariangela Lisanti, C. Tully, & Kathryn M. Zurek. (2017). Directional detection of dark matter with two-dimensional targets. Physics Letters B. 772. 239–246. 118 indexed citations
20.
Krnjaic, Gordan, Jesse Thaler, M. Toups, & Yonatan Kahn. (2015). DAEδALUS and dark matter detection. Physical Review Letters. 10 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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