In‐Won Kim

3.9k citations
89 papers · 3.3k · h-index 35

Impact in

    • Enzyme Production and Characterization
    • Catalytic C–H Functionalization Methods
    • Radical Photochemical Reactions
    • Sulfur-Based Synthesis Techniques

Papers in

In‐Won Kim

86 papers receiving 3.2k citations

Peers

In‐Won Kim
Comparison fields: 5 of 130
  • Biotechnology 410
  • Organic Chemistry 1.0k
  • Pharmaceutical Science 174
  • Biomedical Engineering 871
  • Molecular Biology 1.2k
Replace Saurabh Sudha Dhiman with:
Saurabh Sudha Dhiman India
Sagrario Beltrán Spain
Mélanie Hall Austria
Dean Brady South Africa
Fumiaki Nakatsubo Japan
Vinod Kumar India
Erzheng Su China
Marı́a Teresa Sanz Spain
Adrie J. J. Straathof Netherlands
Zhi Li Singapore
In‐Won Kim relative to Saurabh Sudha Dhiman India Saurabh Sudha Dhiman's profile →
Citations per field
00.5×2.7×
Saurabh Sudha Dhiman · 1×
Citations per year

Countries citing papers authored by In‐Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by In‐Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010197
2 2019174
3 2018157
4 2020149
5 2014137
6 2009136
7 2019119
8 2009101
9 201295
10 201794
11 202085
12 201780
13 201678
14 199075
15 201870
16 201969
17 201858
18 202057
19 201656
20 200956

About In‐Won Kim

In‐Won Kim is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Plant Science and Biotechnology, having authored 89 papers that have together received 3.3k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (21 papers), Enzyme Catalysis and Immobilization (14 papers), Enzyme Production and Characterization (12 papers), Electrochemical sensors and biosensors (8 papers), Catalytic C–H Functionalization Methods (8 papers), Radical Photochemical Reactions (8 papers), Enzyme-mediated dye degradation (8 papers) and Sulfur-Based Synthesis Techniques (7 papers). The work is most often cited by research in Biotechnology (410 citations), Organic Chemistry (1.0k citations), Pharmaceutical Science (174 citations), Biomedical Engineering (871 citations) and Molecular Biology (1.2k citations). In‐Won Kim has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Jung-Kul Lee, Sungwoo Hong, Marimuthu Jeya, Sanjay K. S. Patel, Vipin Chandra Kalia, Sang-Yong Kim, Dahye Kang, Hee-Jung Moon, Hyeonyeong Lee and Bohyun Park. Their work appears in journals such as Applied Microbiology and Biotechnology, Korean Journal of Chemical Engineering, Bioresource Technology, Ceramics International and International Journal of Biological Macromolecules.

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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