Jeong‐Do Kim

1.4k citations
62 papers · 983 indexed · h-index 19

Impact in

Papers in

Jeong‐Do Kim

58 papers receiving 946 citations

Peers

Jeong‐Do Kim
Comparison fields: 5 of 118
  • Biotechnology 143
  • Plant Science 325
  • Genetics 218
  • Molecular Biology 492
  • Cell Biology 115
Replace Masahiro Suzuki with:
Masahiro Suzuki Japan
Jingyi Liu China
Jinjun Chen China
Lian Zhou China
Yuqiang Sun China
Weihong Jiang China
Rosa E. Navarro Mexico
Bowei Chen China
Xiaolong Jiang China
Sung‐Hwan Cho South Korea
Jeong‐Do Kim relative to Masahiro Suzuki Japan Masahiro Suzuki's profile →
Citations per field
00.5×3.3×
Masahiro Suzuki · 1×
Citations per year

Countries citing papers authored by Jeong‐Do Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeong‐Do Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20234
4 20190
5 201914
6 20192
7 20181
8 201131
9 20114
10
The Health-Care Garment System using Digital Yarn and Pulse and Respiratory Senor using PVDF Film
20102
11 200930
12
The Reference Model for Smart Web Sensor Based on IEEE 1451 and Web-service Using Gas Sensor
20081
13 200848
14 200726
15 200638
16 200635
17 20069
18 20066
19
Spatial and Temporal Expression of AIPL1 and NUB1 Protein in Human Retina
20031
20
Mobile Robot with Artificial Olfactory Function
20014

About Jeong‐Do Kim

Jeong‐Do Kim is a scholar working on Sensory Systems, Cell Biology, Plant Science, Biotechnology and Human-Computer Interaction, having authored 62 papers that have together received 983 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (12 papers), Epigenetics and DNA Methylation (10 papers), Plant Pathogens and Fungal Diseases (10 papers), Genetic Syndromes and Imprinting (9 papers), Advanced Chemical Sensor Technologies (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Genomics and Chromatin Dynamics (4 papers) and Olfactory and Sensory Function Studies (4 papers). The work is most often cited by research in Biotechnology (143 citations), Plant Science (325 citations), Genetics (218 citations), Molecular Biology (492 citations) and Cell Biology (115 citations). Jeong‐Do Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Joomyeong Kim, Beom Seok Kim, Lisa Stubbs, Na‐Ri Lee, Hong‐Joo Son, Jin-Ha Jeong, O‐Mi Lee, Jae Woo Han, Angela K. Hinz and Ji Eun Kang. Their work appears in journals such as Human Molecular Genetics, Frontiers in Plant Science, Analytical Biochemistry, Journal of Basic Microbiology and Genomics.

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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