Suoqing Ji

1.5k total citations
32 papers, 1.1k citations indexed

About

Suoqing Ji is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Suoqing Ji has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 18 papers in Nuclear and High Energy Physics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Suoqing Ji's work include Galaxies: Formation, Evolution, Phenomena (18 papers), Astrophysics and Cosmic Phenomena (17 papers) and Astrophysics and Star Formation Studies (15 papers). Suoqing Ji is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (18 papers), Astrophysics and Cosmic Phenomena (17 papers) and Astrophysics and Star Formation Studies (15 papers). Suoqing Ji collaborates with scholars based in United States, China and United Kingdom. Suoqing Ji's co-authors include Philip F. Hopkins, S. Peng Oh, Claude‐André Faucher‐Giguère, Dušan Kereš, Eliot Quataert, T K Chan, Sang-Jin Sin, Cameron Hummels, Jonathan Squire and Iryna S. Butsky and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Research in Astronomy and Astrophysics.

In The Last Decade

Suoqing Ji

27 papers receiving 989 citations

Peers

Suoqing Ji
Ryan M. O’Leary United States
Drummond B. Fielding United States
Kung-Yi Su United States
Ian J. Parrish United States
Steven V. Penton United States
Erwin T. Lau United States
Ákos Bogdán United States
Josh Borrow United States
Ryan M. O’Leary United States
Suoqing Ji
Citations per year, relative to Suoqing Ji Suoqing Ji (= 1×) peers Ryan M. O’Leary

Countries citing papers authored by Suoqing Ji

Since Specialization
Citations

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

Fields of papers citing papers by Suoqing Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suoqing Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Suoqing Ji. A scholar is included among the top collaborators of Suoqing Ji 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 Suoqing Ji. Suoqing Ji 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
2.
Lin, X., Jing Wang, L. Staveley‐Smith, et al.. (2025). FEASTS Combined with Interferometry. III. The Low Column Density H i Around M51 and Possibility of Turbulent-mixing Gas Accretion. The Astrophysical Journal. 982(2). 151–151. 1 indexed citations
3.
Ji, Suoqing, et al.. (2025). Active Galactic Nucleus Feedback in an Elliptical Galaxy. IV. The Importance of the Jet–Wind Coupling. The Astrophysical Journal. 996(1). 94–94.
4.
Hopkins, Philip F., Iryna S. Butsky, Suoqing Ji, & Dušan Kereš. (2023). A simple sub-grid model for cosmic ray effects on galactic scales. Monthly Notices of the Royal Astronomical Society. 522(2). 2936–2950. 5 indexed citations
5.
Ji, Suoqing, Jim Fuller, & Daniel Lecoanet. (2023). Magnetohydrodynamic simulations of the Tayler instability in rotating stellar interiors. Monthly Notices of the Royal Astronomical Society. 521(4). 5372–5383. 16 indexed citations
6.
Yuan, Ye‐Fei, Suoqing Ji, Yingjie Peng, et al.. (2023). Active galactic nuclei feedback in an elliptical galaxy (III): the impacts and fate of cosmological inflow. Monthly Notices of the Royal Astronomical Society. 524(4). 5787–5803. 3 indexed citations
7.
Yuan, Ye‐Fei, et al.. (2023). The AGN Feedback in Compact Galaxies: On the Impact of a More Massive Central Black Hole. Research in Astronomy and Astrophysics. 23(10). 105009–105009. 1 indexed citations
8.
Hopkins, Philip F., Jonathan Squire, Iryna S. Butsky, & Suoqing Ji. (2022). Standard self-confinement and extrinsic turbulence models for cosmic ray transport are fundamentally incompatible with observations. Monthly Notices of the Royal Astronomical Society. 517(4). 5413–5448. 45 indexed citations
9.
Ji, Suoqing, Jonathan Squire, & Philip F. Hopkins. (2022). Numerical study of cosmic ray confinement through dust resonant drag instabilities. Monthly Notices of the Royal Astronomical Society. 513(1). 282–295. 7 indexed citations
10.
Chan, T K, Dušan Kereš, Alexander B. Gurvich, et al.. (2022). The impact of cosmic rays on dynamical balance and disc–halo interaction in L⋆ disc galaxies. Monthly Notices of the Royal Astronomical Society. 517(1). 597–615. 26 indexed citations
11.
Ji, Suoqing, Dušan Kereš, T K Chan, et al.. (2021). Virial shocks are suppressed in cosmic ray-dominated galaxy haloes. Monthly Notices of the Royal Astronomical Society. 505(1). 259–273. 25 indexed citations
12.
Grönke, Max, S. Peng Oh, Suoqing Ji, & Colin Norman. (2021). Survival and mass growth of cold gas in a turbulent, multiphase medium. Monthly Notices of the Royal Astronomical Society. 511(1). 859–876. 80 indexed citations
13.
Hopkins, Philip F., Jonathan Squire, T K Chan, et al.. (2020). Testing physical models for cosmic ray transport coefficients on galactic scales: self-confinement and extrinsic turbulence at ∼GeV energies. Monthly Notices of the Royal Astronomical Society. 501(3). 4184–4213. 76 indexed citations
14.
Hopkins, Philip F., T K Chan, Suoqing Ji, et al.. (2020). Cosmic ray driven outflows to Mpc scales from L* galaxies. Monthly Notices of the Royal Astronomical Society. 501(3). 3640–3662. 66 indexed citations
15.
Ji, Suoqing, T K Chan, Cameron Hummels, et al.. (2020). Properties of the circumgalactic medium in cosmic ray-dominated galaxy haloes. Monthly Notices of the Royal Astronomical Society. 496(4). 4221–4238. 112 indexed citations
16.
Hopkins, Philip F., T K Chan, Jonathan Squire, et al.. (2020). Effects of different cosmic ray transport models on galaxy formation. Monthly Notices of the Royal Astronomical Society. 501(3). 3663–3669. 53 indexed citations
17.
Hopkins, Philip F., T K Chan, Shea Garrison-Kimmel, et al.. (2019). But what about...: cosmic rays, magnetic fields, conduction, and viscosity in galaxy formation. Monthly Notices of the Royal Astronomical Society. 492(3). 3465–3498. 141 indexed citations
18.
Ji, Suoqing, et al.. (2019). Simulations of radiative turbulent mixing layers. Monthly Notices of the Royal Astronomical Society. 487(1). 737–754. 74 indexed citations
19.
Nadler, Ethan O., S. Peng Oh, & Suoqing Ji. (2017). On the apparent power law in CDM halo pseudo-phase space density profiles. Monthly Notices of the Royal Astronomical Society. 470(1). 500–511. 5 indexed citations
20.
Rossum, Daniel R. van, Rahul Kashyap, Robert Fisher, et al.. (2016). LIGHT CURVES AND SPECTRA FROM A THERMONUCLEAR EXPLOSION OF A WHITE DWARF MERGER. The Astrophysical Journal. 827(2). 128–128. 18 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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