Daehwan Kim
- Biotechnology top 2%
- Microbial Metabolism and Applications 4
- Biomedical Engineering top 5%
- Biofuel production and bioconversion 13
- Catalysis for Biomass Conversion 6
- Biomaterials top 10%
- Advanced Cellulose Research Studies 3
- Building and Construction top 10%
- Pharmacology top 10%
- Coffee research and impacts 4
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- Microbial Metabolic Engineering and Bioproduction 6
- Enzyme Catalysis and Immobilization 4
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- Enterobacteriaceae and Cronobacter Research 2
- Co-authors
- Seockmo KuEduardo XimenesMichael R. LadischGuangli CaoNancy N. NicholsSidnei Emílio BordignonDeokyeong ChoeChul Soo Shin
- Journals
- SHILAP Revista de lepidopterología (1 paper)Bioresource Technology (3 papers)Molecules (4 papers)
- Partner nations
- United StatesSouth KoreaColombia
In The Last Decade
Daehwan Kim
26 papers receiving 866 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Biotechnology 223
- Biomedical Engineering 556
- Biomaterials 106
- Building and Construction 93
- Pharmacology 115
Countries citing papers authored by Daehwan Kim
This map shows the geographic impact of Daehwan Kim'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 Daehwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daehwan Kim more than expected).
Fields of papers citing papers by Daehwan Kim
This network shows the impact of papers produced by Daehwan Kim. 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 Daehwan Kim. The network helps show where Daehwan Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daehwan Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 31 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 45 | |
| 11 | 2018 | 34 | |
| 12 | 2018 | 80 | |
| 13 | Physico-Chemical Conversion of Lignocellulose: Inhibitor Effects and Detoxification Strategies: A Mini Reviewbreakdown → | 2018 | 362 |
| 14 | 2018 | 22 | |
| 15 | 2017 | 30 | |
| 16 | 2015 | 40 | |
| 17 | 2014 | 6 | |
| 18 | 2010 | 0 | |
| 19 | 2010 | 16 | |
| 20 | Physicochemical Characterization of Pectin Extracted from Cheju Mandarin (Citrus unshiu) Peels with Citric Acid | 2000 | 14 |
About Daehwan Kim
Daehwan Kim is a scholar working on Biotechnology, Endocrinology and Biomedical Engineering, having authored 28 papers that have together received 889 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (13 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Catalysis for Biomass Conversion (6 papers), Enzyme Catalysis and Immobilization (4 papers), Microbial Metabolism and Applications (4 papers), Coffee research and impacts (4 papers), Advanced Cellulose Research Studies (3 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Biotechnology (223 citations), Biomedical Engineering (556 citations) and Biomaterials (106 citations). Daehwan Kim has collaborated with scholars based in United States, South Korea and Colombia. Frequent co-authors include Seockmo Ku, Eduardo Ximenes, Michael R. Ladisch, Guangli Cao, Nancy N. Nichols, Sidnei Emílio Bordignon, Deokyeong Choe, Chul Soo Shin, Tony V. Johnston and Michael A. Cotta. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Molecules.
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.