Junxian Wang

7.7k total citations · 1 hit paper
133 papers, 3.7k citations indexed

About

Junxian Wang is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Junxian Wang has authored 133 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Astronomy and Astrophysics, 34 papers in Nuclear and High Energy Physics and 25 papers in Instrumentation. Recurrent topics in Junxian Wang's work include Galaxies: Formation, Evolution, Phenomena (93 papers), Astrophysical Phenomena and Observations (70 papers) and Astrophysics and Cosmic Phenomena (34 papers). Junxian Wang is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (93 papers), Astrophysical Phenomena and Observations (70 papers) and Astrophysics and Cosmic Phenomena (34 papers). Junxian Wang collaborates with scholars based in China, United States and Germany. Junxian Wang's co-authors include James E. Rhoads, Sangeeta Malhotra, Tinggui Wang, Wei Zheng, Colin Norman, R. Gilli, P. Tozzi, P. Rosati, R. Giacconi and J. Bergeron 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

Junxian Wang

121 papers receiving 3.6k citations

Hit Papers

Chandra Deep Field South: The 1 Ms Catalog 2002 2026 2010 2018 2002 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junxian Wang China 31 3.0k 967 800 204 180 133 3.7k
Pengjie Zhang China 28 1.9k 0.6× 902 0.9× 330 0.4× 104 0.5× 22 0.1× 160 2.8k
Jiaxin Han China 29 1.6k 0.5× 355 0.4× 885 1.1× 86 0.4× 34 0.2× 145 2.7k
Guilin Liu China 27 912 0.3× 141 0.1× 212 0.3× 40 0.2× 21 0.1× 110 1.9k
Satoshi Miyazaki Japan 32 3.0k 1.0× 602 0.6× 1.5k 1.8× 400 2.0× 25 0.1× 188 4.1k
Yu Gao China 30 3.1k 1.0× 370 0.4× 618 0.8× 69 0.3× 43 0.2× 190 3.6k
Robert Feldmann United States 41 3.2k 1.1× 464 0.5× 1.4k 1.8× 48 0.2× 3 0.0× 123 5.4k
Jinyi Yang United States 24 2.5k 0.8× 618 0.6× 710 0.9× 79 0.4× 11 0.1× 98 2.8k
Yue Shen United States 37 5.3k 1.8× 1.1k 1.2× 1.4k 1.7× 164 0.8× 9 0.1× 177 5.8k
Xu Kong China 21 2.3k 0.8× 173 0.2× 1.1k 1.4× 67 0.3× 56 0.3× 135 2.6k
D. Xu China 26 3.7k 1.2× 649 0.7× 1.9k 2.3× 95 0.5× 19 0.1× 116 4.5k

Countries citing papers authored by Junxian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junxian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junxian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junxian Wang. A scholar is included among the top collaborators of Junxian Wang 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 Junxian Wang. Junxian Wang 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.
Malhotra, Sangeeta, James E. Rhoads, L. Y. Aaron Yung, et al.. (2025). Chandra Detects Low-luminosity Active Galactic Nucleus with M BH = 104–106 M in Nearby (z < 0.5) Dwarf and Star-forming Galaxies. The Astrophysical Journal. 984(2). 155–155. 1 indexed citations
2.
Büchner, Johannes, Teng Liu, K. Nandra, et al.. (2025). The average soft X-ray spectra of eROSITA active galactic nuclei. Astronomy and Astrophysics. 701. A144–A144.
3.
Zheng, Zhen-Ya, Chunyan Jiang, Fang-Ting Yuan, et al.. (2025). Discovery of Local Analogs to JWST’s Little Red Dots. The Astrophysical Journal Letters. 980(2). L34–L34. 6 indexed citations
4.
Xiong, Dingrong, Mouyuan Sun, Junxian Wang, et al.. (2025). A Characteristic Optical Variability Timescale in Jetted Active Galactic Nuclei: A Large Gamma-Ray Emission Sample. The Astrophysical Journal Supplement Series. 279(1). 3–3.
5.
Cai, Zhen-Yi, et al.. (2024). How Can the Optical Variation Properties of Active Galactic Nuclei Be Unbiasedly Measured?. The Astrophysical Journal. 961(1). 5–5. 8 indexed citations
6.
Wang, Junxian, et al.. (2024). A Surprising Excess of Radio Emission in Extremely Stable Quasars: A Unique Clue to Jet Launching?. The Astrophysical Journal. 971(1). 60–60.
7.
Guo, Hengxiao, Yue Shen, J. D. Silverman, et al.. (2024). Prior-informed Active Galactic Nucleus Host Spectral Decomposition Using PyQSOFit. The Astrophysical Journal. 974(2). 153–153. 7 indexed citations
8.
Wan, Zhen, et al.. (2024). The Host Galaxy Fluxes of Active Galaxy Nuclei Are Generally Overestimated by the Flux Variation Gradient Method. Universe. 10(7). 282–282. 1 indexed citations
9.
Wang, Junxian, et al.. (2024). On joint analysing <i>XMM-NuSTAR</i> spectra of active galactic nuclei. JUSTC. 54(7). 702–702. 1 indexed citations
10.
Zheng, Zhen-Ya, James E. Rhoads, Junxian Wang, et al.. (2024). The Hubble Deep Hydrogen Alpha (HDHα) Project. I. Catalog of Emission-line Galaxies. The Astrophysical Journal Supplement Series. 271(1). 5–5.
11.
Fan, Lulu, Yongming Liang, Weida Hu, et al.. (2024). Lyα Imaging around the Hyperluminous Dust-obscured Quasar W2246–0526 at z = 4.6. The Astrophysical Journal. 972(1). 51–51. 2 indexed citations
12.
Wu, Yi, et al.. (2023). Association between blood arsenic concentration and dyslipidemia: Mediating effect of lipid peroxidation in the elderly. Journal of Trace Elements in Medicine and Biology. 82. 127366–127366. 1 indexed citations
13.
Harish, Santosh, Isak Wold, Sangeeta Malhotra, et al.. (2022). New Spectroscopic Confirmations of Lyα Emitters at Z ∼ 7 from the LAGER Survey. The Astrophysical Journal. 934(2). 167–167. 7 indexed citations
14.
Wold, Isak, Sangeeta Malhotra, James E. Rhoads, et al.. (2022). LAGER Lyα Luminosity Function at z ∼ 7: Implications for Reionization. The Astrophysical Journal. 927(1). 36–36. 54 indexed citations
15.
Li, Ting S., Mouyuan Sun, W. N. Brandt, et al.. (2021). Faint Active Galactic Nuclei Favor Unexpectedly Long Inter-band Time Lags. The Astrophysical Journal Letters. 912(2). L29–L29. 18 indexed citations
16.
Yang, Huan, L. Infante, James E. Rhoads, et al.. (2019). Lyα Galaxies in the Epoch of Reionization (LAGER): Spectroscopic Confirmation of Two Redshift ∼7.0 Galaxies. The Astrophysical Journal. 876(2). 123–123. 8 indexed citations
17.
Rhoads, James E., Sangeeta Malhotra, R. G. Probst, et al.. (2018). Hα Emitting Galaxies at z ∼ 0.6 in the Deep And Wide Narrow-band Survey. The Astrophysical Journal. 858(2). 96–96. 6 indexed citations
18.
Zheng, Zhen-Ya, Junxian Wang, James E. Rhoads, et al.. (2017). First Results from the Lyman Alpha Galaxies in the Epoch of Reionization (LAGER) Survey: Cosmological Reionization at z ∼ 7. The Astrophysical Journal Letters. 842(2). L22–L22. 96 indexed citations
19.
Zheng, Wei, Adi Zitrin, L. Infante, et al.. (2017). Young Galaxy Candidates in the Hubble Frontier Fields. IV. MACS J1149.5+2223. The Astrophysical Journal. 836(2). 210–210. 17 indexed citations
20.
Wang, Junxian, et al.. (2015). ANALYSES OF THE VARIABILITY ASYMMETRY OFKEPLERAGNs. The Astrophysical Journal. 805(1). 80–80. 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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