Jun Mo

1.1k citations
46 papers · 903 · h-index 17

Impact in

    • Gamma-ray bursts and supernovae
    • Stellar, planetary, and galactic studies
    • Astrophysical Phenomena and Observations
    • Pulsars and Gravitational Waves Research
    • Cosmology and Gravitation Theories
    • Galaxies: Formation, Evolution, Phenomena
    • Astronomy and Astrophysical Research

Papers in

Jun Mo

44 papers receiving 820 citations

Peers

Jun Mo
Comparison fields: 5 of 9
  • Astronomy and Astrophysics 882
  • Instrumentation 12
  • Nuclear and High Energy Physics 19
  • Ecological Modeling 1
  • Biochemistry 1
Replace Katheryn Decker French with:
Katheryn Decker French United States
Ilsang Yoon United States
Joe Polshaw United Kingdom
Shinsuke Takasao Japan
Jake Summers United States
Morgan Deal France
Jordan C. J. D’Silva United States
Martin Henze United States
Seamus Clarke Germany
Daniel P. Gettings United States
Jun Mo relative to Katheryn Decker French United States Katheryn Decker French's profile →
Citations per field
00.5×1.5×
Katheryn Decker French · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Mo Line = papers co-authored together Jun Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201885
2 201880
3 201569
4 202366
5 202058
6 201946
7 201946
8 201436
9 202336
10
The Peculiar Transient AT2018cow: A Possible Origin of A Type Ibn/IIn Supernova
202132
11 202432
12 202327
13 202222
14 202518
15 201517
16
THE 1999aa-LIKE TYPE Ia SUPERNOVA IPTF14BDN IN THE ULTRAVIOLET AND OPTICAL
201517
17 202117
18 202415
19 202114
20 202114

About Jun Mo

Jun Mo is a scholar working on Astronomy and Astrophysics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 46 papers that have together received 903 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (32 papers), Stellar, planetary, and galactic studies (13 papers) and Astrophysical Phenomena and Observations (2 papers). The work is most often cited by research in Astronomy and Astrophysics (882 citations), Instrumentation (12 citations), Nuclear and High Energy Physics (19 citations), Ecological Modeling (1 citation) and Biochemistry (1 citation). Jun Mo has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xiaofeng Wang, jujia Zhang, Tianmeng Zhang, Danfeng Xiang, Liming Rui, Lifan Wang, Fang Huang, Peter J. Brown, Andy Howell and Curtis McCully. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal, Astronomy and Astrophysics, Nature Astronomy and The Astrophysical Journal Letters.

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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