Se‐Kwon Moon

402 citations
16 papers · 343 · h-index 11

Impact in

Papers in

Se‐Kwon Moon

16 papers receiving 324 citations

Peers

Se‐Kwon Moon
Comparison fields: 5 of 53
  • Biomedical Engineering 249
  • Biotechnology 46
  • Molecular Biology 220
  • Food Science 52
  • Nutrition and Dietetics 42
Replace Sunhoon Kwon with:
Sunhoon Kwon South Korea
Vasana Tolieng Thailand
Sandeep Singh Dhaliwal India
Shizeng Wang China
Guojun Yue China
XU Guo-qian China
Ana Alonso‐Simón Spain
Ai V. Tran United States
Sutticha Na-Ranong Thammasittirong Thailand
Laxmi Prasad Thapa South Korea
Se‐Kwon Moon relative to Sunhoon Kwon South Korea Sunhoon Kwon's profile →
Citations per field
00.5×2×2.8×
Sunhoon Kwon · 1×
Citations per year

Countries citing papers authored by Se‐Kwon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Se‐Kwon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Se‐Kwon Moon. 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 Se‐Kwon Moon. The network helps show where Se‐Kwon Moon may publish in the future.

Co-authors

The 19 scholars most cited alongside Se‐Kwon Moon, 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 Se‐Kwon Moon Line = papers co-authored together Se‐Kwon Moon links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201265
2 201354
3 200937
4 201934
5 200933
6 200420
7 200817
8 201416
9 201215
10 200913
11 201811
12 20229
13
Bioethanol Production using Endogenous Triticale Enzyme
20088
14 20147
15 20043
16 20211

About Se‐Kwon Moon

Se‐Kwon Moon is a scholar working on Biomedical Engineering, Biotechnology, Molecular Biology, Food Science and Agronomy and Crop Science, having authored 16 papers that have together received 343 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (13 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Catalysis for Biomass Conversion (4 papers), Enzyme Production and Characterization (4 papers), Enzyme Catalysis and Immobilization (4 papers), Plant biochemistry and biosynthesis (2 papers), Probiotics and Fermented Foods (2 papers) and Biopolymer Synthesis and Applications (1 paper). The work is most often cited by research in Biomedical Engineering (249 citations), Biotechnology (46 citations), Molecular Biology (220 citations), Food Science (52 citations) and Nutrition and Dietetics (42 citations). Se‐Kwon Moon has collaborated with scholars based in South Korea. Frequent co-authors include Gi‐Wook Choi, Young‐Jung Wee, Hyun‐Woo Kang, Yule Kim, Minhee Han, Jiho Min, Kyeong Eop Kang, Bong‐Woo Chung, Young‐Lok Cha and Youngran Kim. Their work appears in journals such as Journal of Chemical Technology & Biotechnology, Applied Biochemistry and Biotechnology, Bioprocess and Biosystems Engineering, Research in 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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