Hyohak Song

3.9k citations
52 papers · 3.0k indexed · 1 hit paper · h-index 29

Hyohak Song

51 papers receiving 2.9k citations

Hit Papers

Production of succinic acid by bacterial fermentation6042006202620122019200400600

Peers

Hyohak Song
Comparison fields: 5 of 116
  • Biomedical Engineering 2.0k
  • Molecular Biology 2.3k
  • Process Chemistry and Technology 53
  • Filtration and Separation 34
  • Biotechnology 137
Replace Yu‐Sin Jang with:
Yu‐Sin Jang South Korea
Youngsoon Um South Korea
Jiangfeng Ma China
Liangzhi Li China
Ruud A. Weusthuis Netherlands
Noppadon Sathitsuksanoh United States
Joungmin Lee South Korea
Wenming Zhang China
William N. Marmer United States
Hyohak Song relative to Yu‐Sin Jang South Korea Yu‐Sin Jang's profile →
Citations per field
00.5×4.9×
Yu‐Sin Jang · 1×
Citations per year

Countries citing papers authored by Hyohak Song

Since Specialization
Citations

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

Fields of papers citing papers by Hyohak Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hyohak Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hyohak Song Line = papers co-authored together Hyohak Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 202210
4 202220
5 201616
6 201659
7 201640
8 201352
9 201330
10 201215
11 201234
12
Modeling of batch and fed-batch fermentation kinetics of Clostridium tyrobutyricum for butyric acid production
20100
13 200841
14 200815
15 200852
16 2007106
17 200779
18 200766
19 200571
20 200561

About Hyohak Song

Hyohak Song is a scholar working on Biomedical Engineering, Molecular Biology, Building and Construction, Genetics and Biotechnology, having authored 52 papers that have together received 3.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (39 papers), Biofuel production and bioconversion (39 papers), Enzyme Catalysis and Immobilization (19 papers), Bacterial Genetics and Biotechnology (6 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Anaerobic Digestion and Biogas Production (4 papers), Microbial metabolism and enzyme function (2 papers) and Wastewater Treatment and Nitrogen Removal (2 papers). The work is most often cited by research in Biomedical Engineering (2.0k citations), Molecular Biology (2.3k citations), Process Chemistry and Technology (53 citations), Filtration and Separation (34 citations) and Biotechnology (137 citations). Hyohak Song has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Sang Yup Lee, Jong Myoung Park, Sang Jun Lee, Doyoung Seung, Chelladurai Rathnasingh, Chan Woo Song, William P. Clarke, Jeong Wook Lee, Yu‐Sin Jang and Won Hi Hong. Their work appears in journals such as Biochemical Engineering Journal, Journal of Industrial Microbiology & Biotechnology, Biotechnology and Bioengineering, Applied and Environmental Microbiology and Applied Microbiology and Biotechnology.

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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