Daesan Kim
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
- Nutrition and Dietetics top 10%
- Biochemical Analysis and Sensing Techniques
Papers in
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- Advanced Chemical Sensor Technologies 7
- Graphene and Nanomaterials Applications 2
-
- Olfactory and Sensory Function Studies 7
- Co-authors
- Seunghun Hong (17 shared papers)Tai Hyun Park (8 shared papers)Minju Lee (6 shared papers)Manki Son (3 shared papers)Heehong Yang (4 shared papers)Hwi Jin Ko (2 shared papers)Hyun Seok Song (3 shared papers)Jeong‐Su Kim (1 shared paper)
- Journals
- ACS Nano (4 papers)Biosensors and Bioelectronics (4 papers)Advanced Science (2 papers)Scientific Reports (2 papers)Nano Convergence (1 paper)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Daesan Kim
21 papers receiving 484 citations
Peers
Comparison fields: 5 of 72
- Sensory Systems 182
- Nutrition and Dietetics 119
- Biomedical Engineering 322
- Bioengineering 40
- Cellular and Molecular Neuroscience 79
Countries citing papers authored by Daesan Kim
This map shows the geographic impact of Daesan 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 Daesan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daesan Kim more than expected).
Fields of papers citing papers by Daesan Kim
This network shows the impact of papers produced by Daesan 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 Daesan Kim. The network helps show where Daesan Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Daesan 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2017 | 75 | |
| 3 | 2014 | 66 | |
| 4 | 2018 | 49 | |
| 5 | 2015 | 36 | |
| 6 | 2015 | 35 | |
| 7 | 2021 | 28 | |
| 8 | 2018 | 26 | |
| 9 | 2013 | 26 | |
| 10 | 2017 | 12 | |
| 11 | 2024 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2018 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2025 | 2 |
About Daesan Kim
Daesan Kim is a scholar working on Biomedical Engineering, Sensory Systems, Molecular Biology, Nutrition and Dietetics and Electrical and Electronic Engineering, having authored 21 papers that have together received 487 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (7 papers), Advanced Chemical Sensor Technologies (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Electrochemical sensors and biosensors (3 papers), Conducting polymers and applications (2 papers), Cellular Mechanics and Interactions (2 papers), Graphene and Nanomaterials Applications (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Sensory Systems (182 citations), Nutrition and Dietetics (119 citations), Biomedical Engineering (322 citations), Bioengineering (40 citations) and Cellular and Molecular Neuroscience (79 citations). Daesan Kim has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Seunghun Hong, Tai Hyun Park, Minju Lee, Manki Son, Heehong Yang, Hwi Jin Ko, Hyun Seok Song, Jeong‐Su Kim, Kyung Seok Park and Hye Jin. Their work appears in journals such as ACS Nano, Biosensors and Bioelectronics, Advanced Science, Scientific Reports and Nano Convergence.
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.