Eun‐Sung Song

401 total citations
15 papers, 183 citations indexed

About

Eun‐Sung Song is a scholar working on Plant Science, Cell Biology and Infectious Diseases. According to data from OpenAlex, Eun‐Sung Song has authored 15 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 9 papers in Cell Biology and 1 paper in Infectious Diseases. Recurrent topics in Eun‐Sung Song's work include Plant Pathogenic Bacteria Studies (13 papers), Plant-Microbe Interactions and Immunity (13 papers) and Plant Pathogens and Fungal Diseases (9 papers). Eun‐Sung Song is often cited by papers focused on Plant Pathogenic Bacteria Studies (13 papers), Plant-Microbe Interactions and Immunity (13 papers) and Plant Pathogens and Fungal Diseases (9 papers). Eun‐Sung Song collaborates with scholars based in South Korea. Eun‐Sung Song's co-authors include Byoung‐Moo Lee, Tae-Hwan Noh, Jeong-Gu Kim, Young‐Jin Park, Hee‐Wan Kang, Dong-Hee Lee, Sang Hee Lee, Seon‐Woo Lee, Yong‐Joon Cho and Lin‐Woo Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Eun‐Sung Song

15 papers receiving 178 citations

Peers

Eun‐Sung Song
Comparison fields: 5 of 34
  • Plant Science 159
  • Molecular Biology 35
  • Cell Biology 25
  • Immunology 7
  • Ecology 6
Replace Rafał Zdrzałek with:
Rafał Zdrzałek United Kingdom
Catherine Sirven France
Derek Seto Canada
Manuel González‐Fuente Germany
Jessica Upson United Kingdom
Yuanpeng Xu China
Chang-Jin Park South Korea
Lu Rui China
Hoda Yaghmaiean Canada
Marina Puigvert Spain
Rafał Zdrzałek United Kingdom View profile →
Citations per field, relative to Eun‐Sung Song
Eun‐Sung Song · 1×
Citations per year, relative to Eun‐Sung Song
Eun‐Sung Song · 1×

Countries citing papers authored by Eun‐Sung Song

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Sung Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun‐Sung Song

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Sung Song. A scholar is included among the top collaborators of Eun‐Sung 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 Eun‐Sung Song. Eun‐Sung Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 20
2 18
3 24
4 6
5 2
6 2
7 14
8 3
9 13
10 6
11 12
12 18
13 38
14 3
15
PCR Detection of Virulence Genes Encoding Coagulase and Other Toxins among Clinical Methicillin-Resistant Staphylococcus aureus Isolates
4

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026