Jun Song

6.1k total citations · 1 hit paper
110 papers, 4.1k citations indexed

About

Jun Song is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Jun Song has authored 110 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 38 papers in Molecular Biology and 24 papers in Ecology. Recurrent topics in Jun Song's work include Postharvest Quality and Shelf Life Management (43 papers), Plant Physiology and Cultivation Studies (26 papers) and Horticultural and Viticultural Research (21 papers). Jun Song is often cited by papers focused on Postharvest Quality and Shelf Life Management (43 papers), Plant Physiology and Cultivation Studies (26 papers) and Horticultural and Viticultural Research (21 papers). Jun Song collaborates with scholars based in China, Canada and United States. Jun Song's co-authors include Charles F. Forney, Lihua Fan, F. Bangerth, Randolph M. Beaudry, Zhaoqi Zhang, Sherry Fillmore, Leslie Campbell-Palmer, P.D. Hildebrand, Xiaotang Yang and Lina Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jun Song

104 papers receiving 4.0k citations

Hit Papers

SLAF-seq: An Efficient Method of Large-Scale De Novo SNP ... 2013 2026 2017 2021 2013 200 400 600

Peers

Jun Song
Comparison fields: 5 of 120
  • Plant Science 2.5k
  • Molecular Biology 1.2k
  • Food Science 634
  • Ecology 603
  • Genetics 574
Replace Pedro Gómez with:
Pedro Gómez Spain
Yoshiko Sugita‐Konishi Japan
Anthony J. Michael United States
Yongsheng Liu China
Mark A. Bernards Canada
Hiroaki Kasai Japan
Pietro Buzzini Italy
Hari B. Krishnan United States
Benedetta Turchetti Italy
Pedro Gómez Spain View profile →
Citations per field, relative to Jun Song
Jun Song · 1×
Citations per year, relative to Jun Song
Jun Song · 1×

Countries citing papers authored by Jun Song

Since Specialization
Citations

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

Fields of papers citing papers by Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Song. A scholar is included among the top collaborators of Jun Song 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 Song. Jun Song 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 1
6 3
7 3
8 2
9 3
10 3
11 2
12 45
13 13
14 46
15 12
16 47
17 53
18 49
19
Molecular cloning of the translation elongation factor 1A (eEF1A) gene from the soft coral, Scleronephthya gracillimum (Kukenthal) and implication on Cnidarian Phylogeny
0
20 45

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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