Junjun Song

530 citations
37 papers · 446 · h-index 13

Impact in

    • Paleontology and Stratigraphy of Fossils
    • Paleontology and Evolutionary Biology
    • Evolution and Paleontology Studies
  • Geology top 5%
    • Geological and Geophysical Studies

Papers in

    • Paleontology and Stratigraphy of Fossils 30
    • Paleontology and Evolutionary Biology 11
    • Evolution and Paleontology Studies 4
    • Geology and Paleoclimatology Research 20

Junjun Song

34 papers receiving 426 citations

Peers

Junjun Song
Comparison fields: 5 of 50
  • Paleontology 332
  • Geology 123
  • Geochemistry and Petrology 52
  • Geophysics 114
  • Atmospheric Science 141
Replace Marcello Caggiati with:
Marcello Caggiati Italy
Xiangdong Wang China
Jingxun Zuo China
Stefano Manfrin Italy
R. Feist France
Lanyun Miao China
Tinglu Yang China
J. L. Moore United States
Tsuyoshi Ito Japan
E. A. Yolkin Russia
Junjun Song relative to Marcello Caggiati Italy Marcello Caggiati's profile →
Citations per field
00.5×1.5×1.9×
Marcello Caggiati · 1×
Citations per year

Countries citing papers authored by Junjun Song

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junjun Song, 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 Junjun Song Line = papers co-authored together Junjun Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201866
2 201848
3 201845
4 202235
5 201626
6 201824
7 202123
8 201820
9 202018
10 201817
11 201617
12 201814
13 201813
14 201812
15 20198
16 20226
17 20215
18 20225
19 20225
20 20225

About Junjun Song

Junjun Song is a scholar working on Paleontology, Atmospheric Science, Geology, Geophysics and Health, Toxicology and Mutagenesis, having authored 37 papers that have together received 446 indexed citations. Recurring topics across this work include Paleontology and Stratigraphy of Fossils (30 papers), Geology and Paleoclimatology Research (20 papers), Geological and Geophysical Studies (11 papers), Paleontology and Evolutionary Biology (11 papers), Geological and Geochemical Analysis (5 papers), Evolution and Paleontology Studies (4 papers), Geological formations and processes (3 papers) and Educational Reforms and Innovations (3 papers). The work is most often cited by research in Paleontology (332 citations), Geology (123 citations), Geochemistry and Petrology (52 citations), Geophysics (114 citations) and Atmospheric Science (141 citations). Junjun Song has collaborated with scholars based in China, France and United States. Frequent co-authors include Yiming Gong, Wenkun Qie, Sylvie Crasquin, Cheng Huang, Wen Guo, Bo Chen, Jun Shen, Kun Liang, Xiangdong Wang and Li Qiao. Their work appears in journals such as Palaeogeography Palaeoclimatology Palaeoecology, Science China Earth Sciences, Palaeoworld, Geological Journal and Journal of Palaeogeography.

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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