Jun Mo

997 total citations
22 papers, 272 citations indexed

About

Jun Mo is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Jun Mo has authored 22 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 4 papers in Instrumentation. Recurrent topics in Jun Mo's work include Gamma-ray bursts and supernovae (12 papers), Astrophysical Phenomena and Observations (8 papers) and Stellar, planetary, and galactic studies (7 papers). Jun Mo is often cited by papers focused on Gamma-ray bursts and supernovae (12 papers), Astrophysical Phenomena and Observations (8 papers) and Stellar, planetary, and galactic studies (7 papers). Jun Mo collaborates with scholars based in China, United States and Israel. Jun Mo's co-authors include Jujia Zhang, Xiaofeng Wang, Gen Chen, Hanfeng Jin, Zuohua Huang, Zhandong Wang, Jin Fu, Tianmeng Zhang, Jiuzhong Yang and Fei Qi 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

Jun Mo

18 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Mo China 7 170 82 52 46 32 22 272
Jaeheon Kim South Korea 10 255 1.5× 7 0.1× 26 0.5× 48 1.0× 4 0.1× 34 310
K. Ravindran India 7 41 0.2× 4 0.0× 65 1.3× 29 0.6× 12 0.4× 19 133
Zhenxi Zhu China 5 46 0.3× 7 0.1× 3 0.1× 7 0.2× 1 0.0× 12 75
D. Ferrusca Mexico 6 79 0.5× 20 0.4× 9 0.2× 5 0.2× 28 128
Hui-Gen Liu China 9 126 0.7× 5 0.1× 9 0.2× 8 0.3× 29 189
Toyoaki Suzuki Japan 9 121 0.7× 1 0.0× 7 0.1× 8 0.2× 4 0.1× 30 162
Ryota Nakano Japan 7 82 0.5× 14 0.3× 11 0.2× 12 0.4× 18 158
С. В. Пилипенко Russia 5 97 0.6× 25 0.5× 11 0.2× 7 0.2× 36 116
Chong Ge China 10 197 1.2× 79 1.5× 5 0.1× 4 0.1× 25 257

Countries citing papers authored by Jun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Mo. A scholar is included among the top collaborators of Jun Mo 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 Jun Mo. Jun Mo 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.
Xia, Qiqi, Xiaofeng Wang, Kai Li, et al.. (2025). Minute-cadence Observations of the LAMOST Fields with the TMTS. VI. Physical Parameters of Contact Binaries. The Astronomical Journal. 169(3). 139–139.
2.
Liu, Cheng, Xiaofeng Wang, Lian Ying Zhang, et al.. (2024). The first low-mass eclipsing binary within the fully convective zone from TMTS. Monthly Notices of the Royal Astronomical Society. 531(1). 1765–1775.
3.
Guo, Fangzhou, Xiaofeng Wang, Xiaodian Chen, et al.. (2024). Minute-Cadence Observations of the LAMOST Fields with the TMTS: V. Machine Learning Classification of TMTS Catalogues of Periodic Variable Stars. Monthly Notices of the Royal Astronomical Society. 3 indexed citations
4.
Xiang, Danfeng, Jun Mo, Xiaofeng Wang, et al.. (2024). The Red Supergiant Progenitor of Type II Supernova 2024ggi. The Astrophysical Journal Letters. 969(1). L15–L15. 17 indexed citations
5.
Xiang, Danfeng, Xiaofeng Wang, Hanna Sai, et al.. (2023). SN 2018hna: Adding a piece to the puzzles of the explosion of blue supergiants. Monthly Notices of the Royal Astronomical Society. 520(2). 2965–2982. 3 indexed citations
6.
Yan, Shengyu, Xiaofeng Wang, Xing Gao, et al.. (2023). Discovery of the Closest Ultra-stripped Supernova: SN 2021agco in UGC 3855. The Astrophysical Journal Letters. 959(2). L32–L32. 4 indexed citations
7.
Zhang, Tisheng, et al.. (2023). A double sideband combined tracking method for Galileo E5 AltBOC signals. SHILAP Revista de lepidopterología. 4(1). 5 indexed citations
8.
Qia, Zhang, et al.. (2023). A novel method for repeated cerebrospinal fluid sampling and long-term monitoring of intracranial pressure in rats. Frontiers in Neuroscience. 17. 1110537–1110537.
9.
Cao, Dan, et al.. (2023). Frontotemporal giant extradural dermoid cyst: illustrative case. Journal of Neurosurgery Case Lessons. 5(14).
10.
Xiang, Danfeng, et al.. (2023). The dusty and extremely red progenitor of the type II supernova 2023ixf in Messier 101. Science China Physics Mechanics and Astronomy. 67(1). 22 indexed citations
11.
Gangopadhyay, Anjasha, Kuntal Misra, G. Hosseinzadeh, et al.. (2022). Evolution of a Peculiar Type Ibn Supernova SN 2019wep. The Astrophysical Journal. 930(2). 127–127. 3 indexed citations
12.
Wang, Xiaofeng, Wenxiong Li, Jun Mo, et al.. (2022). SN 2019ein: a Type Ia supernova likely originated from a sub-Chandrasekhar-mass explosion. Monthly Notices of the Royal Astronomical Society. 517(3). 4098–4118. 3 indexed citations
13.
Mo, Jun. (2021). Research on the Improvement Path of Urban Community Emergency Cooperative Governance Capability in the New Era. Advances in Social Science, Education and Humanities Research. 1 indexed citations
14.
Yao, Xinyu, Lingzhi Wang, Xiaofeng Wang, et al.. (2019). PHOTOMETRY OF VARIABLE STARS FROM THE THU-NAOC TRANSIENT SURVEY. I. THE FIRST TWO YEARS. OakTrust (Texas A&M University Libraries). 3 indexed citations
15.
Zhang, Kaicheng, Xiaofeng Wang, Jujia Zhang, et al.. (2019). OPTICAL OBSERVATIONS OF THE TYPE IA SUPERNOVA SN 2011fe IN M101 FOR NEARLY 500 DAYS. OakTrust (Texas A&M University Libraries). 28 indexed citations
16.
Mo, Jun, et al.. (2019). Study on solubility and solubilisation of drying agent in supercritical carbon dioxide for improving local permeability of tight gas reservoir. Molecular Physics. 118(1). e1580780–e1580780. 2 indexed citations
17.
Rui, Liming, Xiaofeng Wang, Jun Mo, et al.. (2019). Probing the final-stage progenitor evolution for Type IIP Supernova 2017eaw in NGC 6946. Monthly Notices of the Royal Astronomical Society. 485(2). 1990–2000. 26 indexed citations
18.
Li, Linyi, Xiaofeng Wang, Jujia Zhang, et al.. (2018). Optical observations of the 2002cx-like supernova 2014ek and characterizations of SNe Iax. Monthly Notices of the Royal Astronomical Society. 478(4). 4575–4589. 5 indexed citations
19.
Zhang, Jujia, Xiaofeng Wang, P. A. Mazzali, et al.. (2014). OPTICAL AND ULTRAVIOLET OBSERVATIONS OF A LOW-VELOCITY TYPE II PLATEAU SUPERNOVA 2013am IN M65. The Astrophysical Journal. 797(1). 5–5. 19 indexed citations
20.
Liu, Yongxin, et al.. (2003). [Detection of cholesterol ester transfer protein in semen of infertile patients].. PubMed. 9(3). 178–80. 2 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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