Tae‐San Kim

845 total citations
27 papers, 674 citations indexed

About

Tae‐San Kim is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Food Science. According to data from OpenAlex, Tae‐San Kim has authored 27 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 8 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Food Science. Recurrent topics in Tae‐San Kim's work include Agriculture, Soil, Plant Science (7 papers), Food Quality and Safety Studies (6 papers) and GABA and Rice Research (6 papers). Tae‐San Kim is often cited by papers focused on Agriculture, Soil, Plant Science (7 papers), Food Quality and Safety Studies (6 papers) and GABA and Rice Research (6 papers). Tae‐San Kim collaborates with scholars based in South Korea, India and United States. Tae‐San Kim's co-authors include Yong‐Jin Park, Kyung‐Ho Ma, Jae‐Gyun Gwag, Eun-Gi Cho, Hun‐Ki Chung, Kyu‐Won Kim, Gyu‐Taek Cho, Anupam Dixit, Gi-An Lee and Sok‐Young Lee and has published in prestigious journals such as Bioinformatics, Journal of Agricultural and Food Chemistry and Theoretical and Applied Genetics.

In The Last Decade

Tae‐San Kim

27 papers receiving 621 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tae‐San Kim South Korea 11 524 235 181 92 72 27 674
Eun-Gi Cho South Korea 11 561 1.1× 156 0.7× 317 1.8× 85 0.9× 44 0.6× 25 668
Anupam Dixit South Korea 14 455 0.9× 144 0.6× 117 0.6× 66 0.7× 71 1.0× 20 564
Luís Felipe V. Ferrão United States 23 949 1.8× 442 1.9× 232 1.3× 40 0.4× 103 1.4× 54 1.3k
Gustavo Rodríguez Argentina 18 1.1k 2.1× 225 1.0× 648 3.6× 52 0.6× 124 1.7× 73 1.4k
Liwu Zhang China 17 465 0.9× 188 0.8× 345 1.9× 35 0.4× 102 1.4× 63 701
Monalisa Sampaio Carneiro Brazil 17 774 1.5× 52 0.2× 186 1.0× 17 0.2× 27 0.4× 53 914
S. Senthilvel India 19 901 1.7× 418 1.8× 182 1.0× 38 0.4× 59 0.8× 65 1.1k
Awadhesh Pandit India 13 596 1.1× 200 0.9× 318 1.8× 23 0.3× 23 0.3× 26 822
M. A. Edriss Iran 14 115 0.2× 382 1.6× 31 0.2× 51 0.6× 58 0.8× 51 722
B. E. Zehr United States 9 490 0.9× 144 0.6× 330 1.8× 41 0.4× 37 0.5× 15 671

Countries citing papers authored by Tae‐San Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐San Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae‐San Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐San Kim. A scholar is included among the top collaborators of Tae‐San 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 Tae‐San Kim. Tae‐San Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Kim, Tae‐San, et al.. (2023). FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning. 1–10. 1 indexed citations
4.
Jin, Kai, et al.. (2015). Process chain analysis of the dimensional integrity in a metal-insert polymer smart phone baseplate — from die casting to polymer injection molding. Journal of Mechanical Science and Technology. 29(4). 1703–1713. 3 indexed citations
5.
Jin, Kai, et al.. (2014). Analysis and design for reducing residual stress and distortion after ejection of injection molded part with metal-insert. International Journal of Precision Engineering and Manufacturing. 15(12). 2533–2542. 12 indexed citations
6.
Kim, Jeong-Soon, et al.. (2009). Comparison analysis of aromatic compounds in the aromatic rice germplasm by gas chromatography and mass spectrometry.. The Korean Journal of Crop Science. 54(1). 88–103. 3 indexed citations
7.
Ma, Kyung‐Ho, Nam‐Soo Kim, Gi-An Lee, et al.. (2009). Development of SSR markers for studies of diversity in the genus Fagopyrum. Theoretical and Applied Genetics. 119(7). 1247–1254. 52 indexed citations
8.
Kim, Haeng-Hoon, Dong-Jin Shin, Ho-Cheol Ko, et al.. (2009). Desiccation sensitivity and cryopreservation of Korean ginseng seeds.. PubMed. 29(5). 419–26. 7 indexed citations
9.
Kim, Jeong-Soon, et al.. (2008). Estimation of Agronomic Characteristics of Domestic Aromatic Rice Germplasm and Foreign Aromatic Rice Germplasm in RDA Genebank, Korea. The Korean Journal of Crop Science. 53(3). 261–272. 4 indexed citations
10.
Kim, Jeong-Soon, et al.. (2008). Quantification of 2-Acetyl-1-pyrroline from the Aroma Rice Germplasm by Gas Chromatography. Korean Journal of Food Science and Technology. 40(5). 516–521. 7 indexed citations
11.
Kim, Jeong-Soon, Yang-Hee Cho, Jung-Bong Kim, et al.. (2008). Quantitative analysis of amylose and protein content of rice germplasm in RDA-genebank by near infrared reflectance spectroscopy.. The Korean Journal of Crop Science. 53(2). 217–223. 3 indexed citations
12.
Lee, Jeongran, et al.. (2007). SSR profiling and its variation in soybean germplasm.. The Korean Journal of Crop Science. 52(1). 81–88. 6 indexed citations
13.
Park, Yong‐Jin, Anupam Dixit, Kyung‐Ho Ma, et al.. (2007). Evaluation of genetic diversity and relationships within an on-farm collection of Perilla frutescens (L.) Britt. using microsatellite markers. Genetic Resources and Crop Evolution. 55(4). 523–535. 49 indexed citations
14.
Kim, Kyu‐Won, Hun‐Ki Chung, Gyu‐Taek Cho, et al.. (2007). PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets. Bioinformatics. 23(16). 2155–2162. 239 indexed citations
15.
Kim, Haeng-Hoon, et al.. (2007). IMPLEMENTATION OF CRYOPRESERVATION FOR GARLIC GENETIC RESOURCES BY THE DROPLET VITRIFICATION PROCEDURE. Acta Horticulturae. 209–215. 6 indexed citations
16.
Park, Yong‐Jin, et al.. (2006). Assessment of Genetic Diversity of Korean Landrace Rice Accessions (Oryza sativa L.) by Microsatellite Analysis. Korean Journal of Breeding Science. 38(2). 75–82. 3 indexed citations
17.
Cho, Yang-Hee, et al.. (2006). Diversity and Geographical Relationships by SSR Marker in Subgenus Soja Originated from Korea. The Korean Journal of Crop Science. 51(3). 239–247. 6 indexed citations
18.
Gwag, Jae‐Gyun, Jong‐Wook Chung, Hun‐Ki Chung, et al.. (2006). Characterization of new microsatellite markers in mung bean, Vigna radiata (L.). Molecular Ecology Notes. 6(4). 1132–1134. 47 indexed citations
19.
Kim, Haeng-Hoon, et al.. (2005). Optimal desiccation condition and moisture content of dehisced seeds of ginseng (Panax ginseng C.A. Meyer) for cryopreservation.. The Korean Journal of Crop Science. 50(6). 406–410. 1 indexed citations
20.
Sohn, Seong‐Han, et al.. (2002). Detection Methods for Genetically Modified Soybeans. Applied Biological Chemistry. 45(4). 185–189. 2 indexed citations

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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