You‐Chun Song

571 citations
45 papers · 431 indexed · h-index 14
Topics
Rice Cultivation and Yield Improvement (20 papers)Agriculture, Soil, Plant Science (18 papers)GABA and Rice Research (15 papers)

In The Last Decade

You‐Chun Song

41 papers receiving 391 citations

Peers

You‐Chun Song
Comparison fields: 5 of 46
  • Plant Science 394
  • Cell Biology 124
  • Genetics 106
  • Ecology, Evolution, Behavior and Systematics 46
  • Molecular Biology 44
Replace Jun‐Hyeon Cho with:
Jun‐Hyeon Cho South Korea
Un‐Sang Yeo South Korea
Soo-Kwon Park South Korea
Urszula Wachowska Poland
Seyed Mostafa Pirseyedi Iran
Birgitte Skadhauge Denmark
Umakanta Ngangkham India
Lourdes Adriano-Anaya Mexico
K. S. Boora India
Leyla Nazari Iran
You‐Chun Song relative to Jun‐Hyeon Cho South Korea Jun‐Hyeon Cho's profile →
Citations per field
00.5×
Jun‐Hyeon Cho · 1×
Citations per year

Countries citing papers authored by You‐Chun Song

Since Specialization
Citations

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

Fields of papers citing papers by You‐Chun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of You‐Chun Song

This figure shows the co-authorship network connecting the top 25 collaborators of You‐Chun Song. A scholar is included among the top collaborators of You‐Chun 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 You‐Chun Song. You‐Chun 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
#WorkIndexed citations
1 19
2 22
3 14
4 3
5 1
6 27
7 11
8 2
9 20
10 2
11 2
12 13
13 10
14 1
15 31
16 10
17 0
18
Yield and Grain Quality of Early Maturing Rice Cultivars as Affected by Early Transplanting in Yeongnam Plain Area
12
19 27
20
Collection and Evaluation of Korean Red Rices II. Yield Component, Clum and Panicle Length
1

About You‐Chun Song

You‐Chun Song is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 45 papers that have together received 431 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (20 papers), Agriculture, Soil, Plant Science (18 papers) and GABA and Rice Research (15 papers). The work is most often cited by research in Plant Science (394 citations), Cell Biology (124 citations) and Genetics (106 citations). You‐Chun Song has collaborated with scholars based in South Korea, Philippines and Japan. Frequent co-authors include Jong‐Hee Lee, Dong-Soo Park, Un‐Sang Yeo, Jun‐Hyeon Cho, Min‐Hee Nam, Dongjin Shin, Soo-Kwon Park, Ji-Yoon Lee, Do‐Yeon Kwak and Tae‐Heon Kim. Their work appears in journals such as Theoretical and Applied Genetics, Plant Science and Euphytica.

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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