Nam‐Soo Kim
- Plant Science top 2%
- Molecular Biology top 10%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Surgery
- Co-authors
- Sung-Il LeeJu Kyong LeeYong‐Jin ParkKyong-Cheul ParkSoon‐Jae KwonHyuneui LimSeungmuk JiKyungjun Song
- Topics
- Chromosomal and Genetic Variations (31 papers)Plant Disease Resistance and Genetics (28 papers)Genomics and Phylogenetic Studies (20 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Nam‐Soo Kim
96 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Plant Science 1.1k
- Molecular Biology 707
- Genetics 349
- Ecology, Evolution, Behavior and Systematics 176
- Surgery 129
Countries citing papers authored by Nam‐Soo Kim
This map shows the geographic impact of Nam‐Soo 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 Nam‐Soo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nam‐Soo Kim more than expected).
Fields of papers citing papers by Nam‐Soo Kim
This network shows the impact of papers produced by Nam‐Soo 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 Nam‐Soo Kim. The network helps show where Nam‐Soo Kim may publish in the future.
Co-authorship network of co-authors of Nam‐Soo Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Nam‐Soo Kim. A scholar is included among the top collaborators of Nam‐Soo Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nam‐Soo Kim. Nam‐Soo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 12 | |
| 10 | 29 | |
| 11 | A new black waxy corn hybrid cultivar, "Miheugchal" with good eating quality and high yield. | 7 |
| 12 | Perilla crops and their related weedy types collected in Korea. | 2 |
| 13 | 22 | |
| 14 | Assessment of Genetic Diversity of Korean Landrace Rice Accessions (Oryza sativa L.) by Microsatellite Analysis | 3 |
| 15 | 41 | |
| 16 | Phylogenetic relationship and genetic variation among Oryza species revealed by AFLP | 1 |
| 17 | Genetic relationship and genetic variation in Oryza species using MITE-AFLP | 1 |
| 18 | 21 | |
| 19 | Risogurt, a Mixture of Lactic Acid Fermented Rice and Soybean Protein | 1 |
| 20 | Rheological Properties of Gelatinized Millet Starch Dispersions | 1 |
About Nam‐Soo Kim
Nam‐Soo Kim is a scholar working on Plant Science, Genetics and Molecular Biology, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (31 papers), Plant Disease Resistance and Genetics (28 papers) and Genomics and Phylogenetic Studies (20 papers). The work is most often cited by research in Plant Science (1.1k citations), Surfaces, Coatings and Films (101 citations) and Genetics (349 citations). Nam‐Soo Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sung-Il Lee, Ju Kyong Lee, Yong‐Jin Park, Kyong-Cheul Park, Soon‐Jae Kwon, Hyuneui Lim, Seungmuk Ji, Kyungjun Song, Thanh Binh Nguyen and Ik‐Young Choi. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.