John ZuHone

2.7k total citations
77 papers, 1.5k citations indexed

About

John ZuHone is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, John ZuHone has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Astronomy and Astrophysics, 18 papers in Nuclear and High Energy Physics and 9 papers in Instrumentation. Recurrent topics in John ZuHone's work include Galaxies: Formation, Evolution, Phenomena (55 papers), Astrophysical Phenomena and Observations (25 papers) and Gamma-ray bursts and supernovae (22 papers). John ZuHone is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (55 papers), Astrophysical Phenomena and Observations (25 papers) and Gamma-ray bursts and supernovae (22 papers). John ZuHone collaborates with scholars based in United States, Germany and United Kingdom. John ZuHone's co-authors include Maxim Markevitch, Ryan E. Johnson, D. Lee, Daisuke Nagai, M. Brüggen, F. Vazza, J. Donnert, P. E. J. Nulsen, P. M. Ricker and Elke Roediger and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

John ZuHone

69 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John ZuHone United States 22 1.3k 390 277 104 46 77 1.5k
P. A. Woudt South Africa 23 1.6k 1.2× 436 1.1× 252 0.9× 134 1.3× 21 0.5× 142 1.7k
Subo Dong United States 27 2.3k 1.7× 312 0.8× 537 1.9× 133 1.3× 40 0.9× 105 2.4k
I. A. Steele United Kingdom 26 1.9k 1.5× 359 0.9× 494 1.8× 109 1.0× 23 0.5× 166 2.1k
Martin Reinecke Germany 12 905 0.7× 336 0.9× 177 0.6× 42 0.4× 58 1.3× 30 1.1k
T. W. S. Holoien United States 24 1.9k 1.4× 354 0.9× 476 1.7× 140 1.3× 13 0.3× 106 2.0k
Veronica Biffi Italy 22 1.2k 0.9× 270 0.7× 506 1.8× 80 0.8× 69 1.5× 49 1.3k
B. J. Shappee United States 28 2.7k 2.0× 544 1.4× 595 2.1× 156 1.5× 16 0.3× 171 2.8k
A. H. Rots United States 18 1.2k 0.9× 338 0.9× 132 0.5× 68 0.7× 25 0.5× 82 1.3k
Aaron Smith United States 16 938 0.7× 260 0.7× 310 1.1× 28 0.3× 37 0.8× 54 1.1k
L. Denneau United States 20 2.0k 1.5× 223 0.6× 322 1.2× 110 1.1× 18 0.4× 78 2.1k

Countries citing papers authored by John ZuHone

Since Specialization
Citations

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

Fields of papers citing papers by John ZuHone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John ZuHone

This figure shows the co-authorship network connecting the top 25 collaborators of John ZuHone. A scholar is included among the top collaborators of John ZuHone 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 John ZuHone. John ZuHone 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.
Ntampaka, Michelle, Benedikt Diemer, John ZuHone, et al.. (2025). A Multiwavelength Technique for Estimating Galaxy Cluster Mass Accretion Rates. The Astrophysical Journal. 985(2). 212–212. 1 indexed citations
2.
Shreeram, Soumya, Johan Comparat, A. Merloni, et al.. (2025). Quantifying observational projection effects with a simulation-based hot CGM model. Astronomy and Astrophysics. 697. A22–A22. 5 indexed citations
3.
Scannapieco, Evan, Johan Comparat, John ZuHone, et al.. (2025). The Hot Circumgalactic Medium in Stacked X-Rays: Observations versus Simulations. The Astrophysical Journal. 994(1). 89–89.
4.
Sayers, Jack, John ZuHone, Urmila Chadayammuri, et al.. (2024). ICM-SHOX. I. Methodology Overview and Discovery of a Gas–Dark Matter Velocity Decoupling in the MACS J0018.5+1626 Merger. The Astrophysical Journal. 968(2). 74–74.
5.
Sarkar, Arnab, Scott W. Randall, Yuanyuan Su, et al.. (2023). Gas Sloshing and Cold Fronts in Pre-merging Galaxy Cluster A98. The Astrophysical Journal. 944(2). 132–132. 10 indexed citations
6.
ZuHone, John, Y. E. Bahar, Veronica Biffi, et al.. (2023). Effects of multiphase gas and projection on X-ray observables in simulated galaxy clusters as seen by eROSITA. Astronomy and Astrophysics. 675. A150–A150. 12 indexed citations
7.
Chadayammuri, Urmila, Michelle Ntampaka, John ZuHone, Ákos Bogdán, & Ralph Kraft. (2023). Painting baryons on to N-body simulations of galaxy clusters with image-to-image deep learning. Monthly Notices of the Royal Astronomical Society. 526(2). 2812–2829. 4 indexed citations
8.
Parimbelli, Gabriele, E. Branchini, Matteo Viel, Francisco Villaescusa-Navarro, & John ZuHone. (2023). Studying the warm hot intergalactic medium in emission: a reprise. Monthly Notices of the Royal Astronomical Society. 523(2). 2263–2282. 6 indexed citations
9.
Botteon, A., F. Gastaldello, John ZuHone, et al.. (2023). A radio bubble shredded by gas sloshing?. Monthly Notices of the Royal Astronomical Society. 527(1). 919–930. 5 indexed citations
10.
ZuHone, John, et al.. (2023). Discovery of A Large-scale Bent Radio Jet in the Merging Cluster A514. The Astrophysical Journal Letters. 957(1). L4–L4. 4 indexed citations
11.
Jee, M. James, et al.. (2023). Weak-lensing Mass Bias in Merging Galaxy Clusters. The Astrophysical Journal. 945(1). 71–71. 17 indexed citations
12.
Truong, Nhut, Annalisa Pillepich, Dylan Nelson, et al.. (2023). X-ray metal line emission from the hot circumgalactic medium: probing the effects of supermassive black hole feedback. Monthly Notices of the Royal Astronomical Society. 525(2). 1976–1997. 23 indexed citations
13.
Ntampaka, Michelle, John F. Wu, John ZuHone, et al.. (2022). A Machine-learning Approach to Enhancing eROSITA Observations. The Astrophysical Journal. 940(1). 60–60. 4 indexed citations
14.
Sayers, Jack, Alfredo Montaña, Tony Mroczkowski, et al.. (2019). Imaging the Thermal and Kinematic Sunyaev–Zel’dovich Effect Signals in a Sample of 10 Massive Galaxy Clusters: Constraints on Internal Velocity Structures and Bulk Velocities. The Astrophysical Journal. 880(1). 45–45. 27 indexed citations
15.
Green, Sheridan B, Michelle Ntampaka, Daisuke Nagai, et al.. (2019). Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning. The Astrophysical Journal. 884(1). 33–33. 22 indexed citations
16.
Slavin, Jonathan D., Adam Foster, Randall K. Smith, et al.. (2019). Nonequilibrium Ionization in Mixed-morphology Supernova Remnants. The Astrophysical Journal. 875(2). 81–81. 21 indexed citations
17.
ZuHone, John, et al.. (2019). A Parameter Space Exploration of Galaxy Cluster Mergers. II. Effects of Magnetic Fields. The Astrophysical Journal. 883(2). 118–118. 16 indexed citations
18.
Turk, Matthew, John ZuHone, Nathan Goldbaum, et al.. (2018). yt-astro-analysis 1.0 Release. Figshare. 4 indexed citations
19.
Goldbaum, Nathan, John ZuHone, Matthew Turk, K. Kowalik, & Anna L. Rosen. (2018). unyt: Handle, manipulate, and convert data with units in Python. The Journal of Open Source Software. 3(28). 809–809. 24 indexed citations
20.
ZuHone, John & Eric Hallman. (2016). pyXSIM: Synthetic X-ray observations generator. Astrophysics Source Code Library. 7 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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