Suk Bai

30 papers receiving 403 citations

Peers

Suk Bai
Comparison fields: 5 of 69
  • Biotechnology 131
  • Biochemistry 28
  • Nutrition and Dietetics 62
  • Food Science 75
  • Biomedical Engineering 176
Replace Markus Matuschek with:
Markus Matuschek Germany
Ali Gargouri Tunisia
Yuping Lin China
Xianjun Dai China
Toshitaka Minetoki Japan
Harutake Yamazaki Japan
Arun P. Aryan Australia
Carem Gledes Vargas-Rechia Brazil
Alagarsamy Karthikeyan India
Heinrich Kroukamp Australia
Suk Bai relative to Markus Matuschek Germany Markus Matuschek's profile →
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Citations per year

Countries citing papers authored by Suk Bai

Since Specialization
Citations

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

Fields of papers citing papers by Suk Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suk Bai, 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 Suk Bai Line = papers co-authored together Suk Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200063
2 201540
3
Fermentation Characteristics of Whole Soybean Meju Model System Inoculated with 4 Bacillus Strains
199738
4 199230
5 201030
6 201129
7 200528
8 200025
9 200321
10 199421
11 200717
12 201117
13 200814
14
Expression of Schwanniomyces occidentalis α-Amylase Gene in saccharomyces cerevisiae var.diastaticus
19998
15 20148
16
Cloning and Sequencing of the ${\beta}-Amylase$ Gene from Paenibacillus sp. and Its Expression in Saccharomyces cerevisiae
20017
17 20026
18 20156
19 20174
20 20004

About Suk Bai

Suk Bai is a scholar working on Biotechnology, Biomedical Engineering, Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment, having authored 31 papers that have together received 436 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (17 papers), Biofuel production and bioconversion (16 papers), Phytase and its Applications (7 papers), Algal biology and biofuel production (4 papers), Fungal and yeast genetics research (4 papers), Enzyme Catalysis and Immobilization (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Microbial Metabolites in Food Biotechnology (2 papers). The work is most often cited by research in Biotechnology (131 citations), Biochemistry (28 citations), Nutrition and Dietetics (62 citations), Food Science (75 citations) and Biomedical Engineering (176 citations). Suk Bai has collaborated with scholars based in South Korea, Netherlands and Japan. Frequent co-authors include Hwanghee Blaise Lee, Gagan D. Gupta, I. Brent Heath, Hyun‐Mi Ko, Suhn‐Young Im, Il‐Chul Kim, Dongho Kim, Gil-Hwan An, Kishio Hatai and Dong‐Jun Shin. Their work appears in journals such as Biotechnology Letters, BMB Reports, Fish Pathology, FEBS Letters and Biotechnology for Biofuels.

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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