Won‐Suk Song

646 total citations
25 papers, 392 citations indexed

About

Won‐Suk Song is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Won‐Suk Song has authored 25 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Won‐Suk Song's work include Gut microbiota and health (7 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Probiotics and Fermented Foods (3 papers). Won‐Suk Song is often cited by papers focused on Gut microbiota and health (7 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Probiotics and Fermented Foods (3 papers). Won‐Suk Song collaborates with scholars based in South Korea, United States and China. Won‐Suk Song's co-authors include Yun‐Gon Kim, Cholsoon Jang, Hosung Bae, Sunhee Jung, Byung‐Gee Kim, Sung‐Hyun Jo, Yung‐Hun Yang, Joonwon Kim, Kwon‐Young Choi and Tae Jun Ham and has published in prestigious journals such as Scientific Reports, Nature Chemical Biology and Frontiers in Microbiology.

In The Last Decade

Won‐Suk Song

24 papers receiving 387 citations

Peers

Won‐Suk Song
Comparison fields: 5 of 87
  • Molecular Biology 182
  • Physiology 62
  • Epidemiology 53
  • Endocrinology, Diabetes and Metabolism 52
  • Computer Networks and Communications 42
Replace Donghua Li with:
Donghua Li China
Lina Dong China
Muhammad Nasir Iqbal Pakistan
Joshua Hay United States
Md. Sadequl Islam Bangladesh
Xiaohong Zhong China
Iftikhar Aslam Tayubi Saudi Arabia
Vishal S. Patil India
Geetika Gupta India
Xuan Gu China
Donghua Li China View profile →
Citations per field, relative to Won‐Suk Song
Won‐Suk Song · 1×
Citations per year, relative to Won‐Suk Song
Won‐Suk Song · 1×

Countries citing papers authored by Won‐Suk Song

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Suk Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won‐Suk Song

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Suk Song. A scholar is included among the top collaborators of Won‐Suk 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 Won‐Suk Song. Won‐Suk 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 8
3 7
4 18
5 11
6 4
7 20
8 8
9 54
10 17
11 16
12
Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs.
27
13 1
14 7
15 30
16 22
17 41
18 3
19 5
20
[Research of indole-3-acetic acid biosynthetic pathway of Klebsiella oxytoca SG-11 by HPLC and GC-MS].
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.

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