Ok‐Ryul Song

2.6k citations
39 papers · 1.3k indexed · h-index 18
Topics
Tuberculosis Research and Epidemiology (14 papers)Mycobacterium research and diagnosis (10 papers)Pneumocystis jirovecii pneumonia detection and treatment (5 papers)

In The Last Decade

Ok‐Ryul Song

38 papers receiving 1.2k citations

Peers

Ok‐Ryul Song
Comparison fields: 5 of 93
  • Epidemiology 438
  • Molecular Biology 394
  • Infectious Diseases 393
  • Immunology 242
  • Plant Science 182
Replace Federico C. Beasley with:
Federico C. Beasley United States
Ka‐Wing Wong China
Wanyan Deng China
Carolina Coelho United States
Pascale Peyron France
Pryce L. Haddix United States
Shaqiu Zhang China
Brahm S. Srivastava India
Florence Levillain France
Ying Tang China
Ok‐Ryul Song relative to Federico C. Beasley United States Federico C. Beasley's profile →
Citations per field
00.5×1.5×2.1×
Federico C. Beasley · 1×
Citations per year

Countries citing papers authored by Ok‐Ryul Song

Since Specialization
Citations

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

Fields of papers citing papers by Ok‐Ryul Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ok‐Ryul Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ok‐Ryul Song. A scholar is included among the top collaborators of Ok‐Ryul 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 Ok‐Ryul Song. Ok‐Ryul 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 0
2 4
3 12
4 21
5 24
6 14
7 20
8 24
9 72
10 58
11 67
12 170
13 1
14 146
15 25
16 127
17 92
18 8
19
Isolation and Cultural Characteristics of a Phosphate-Solubilizing Bacterium, Aeromonas hydrophila DA57
3
20
Characterization of Polyphosphate Kinase Gene in Serratia marcescens
1

About Ok‐Ryul Song

Ok‐Ryul Song is a scholar working on Infectious Diseases, Parasitology and Epidemiology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (10 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Endocrinology (112 citations), Infectious Diseases (393 citations) and Molecular Medicine (76 citations). Ok‐Ryul Song has collaborated with scholars based in France, South Korea and United Kingdom. Frequent co-authors include Priscille Brodin, Seung‐Jin Lee, Keun-Ki Kim, Yong Seok Lee, Laleh Majlessi, Roland Brosch, Fadel Sayes, Matthias I. Gröschel, Nathalie Deboosère and Roxane Siméone. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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