This map shows the geographic impact of Yeong‐Mo Son'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 Yeong‐Mo Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeong‐Mo Son more than expected).
This network shows the impact of papers produced by Yeong‐Mo Son. 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 Yeong‐Mo Son. The network helps show where Yeong‐Mo Son may publish in the future.
Co-authorship network of co-authors of Yeong‐Mo Son
This figure shows the co-authorship network connecting the top 25 collaborators of Yeong‐Mo Son.
A scholar is included among the top collaborators of Yeong‐Mo Son 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 Yeong‐Mo Son. Yeong‐Mo Son is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Son, Yeong‐Mo, et al.. (2015). An Estimation on the Stem Volume of Cryptomeria Japonica in Jeju using Kozak’s Stem Taper Model. 27(3). 145–160.1 indexed citations
Son, Yeong‐Mo, et al.. (2012). Development of Stem Volume Table for Robinia pseudoacacia Using Kozak’s Stem Profile Model. 46(6). 43–49.4 indexed citations
9.
Son, Yeong‐Mo, et al.. (2010). Estimating the Uncertainty and Validation of Basic Wood Density for Pinus densiflora in Korea. Journal of Korean Society of Forest Science. 99(6). 929–933.2 indexed citations
10.
Son, Yeong‐Mo, et al.. (2010). Aboveground Biomass Estimation of Pinus densiflora Stands in the Western Gyeongnam Regions. Journal of Korean Society of Forest Science. 99(1). 62–67.3 indexed citations
11.
Li, Xiaodong, et al.. (2010). Allometry, Biomass and Productivity of Quercus Forests in Korea: A Literature-based Review. Journal of Korean Society of Forest Science. 99(5). 726–735.4 indexed citations
12.
Lee, Young‐Jin, et al.. (2010). Above-and Belowground Biomass and Net Primary Production for Pinus densiflora Stands of Cheongyang and Boryeong Regions in Chungnam. Journal of Korean Society of Forest Science. 99(6). 914–921.3 indexed citations
Son, Yeong‐Mo, et al.. (2009). Taper Equations and Stem Volume Table of Eucalyptus pellita and Acacia mangium Plantations in Indonesia. Journal of the Korean Forestry Society. 98(6). 633–638.10 indexed citations
15.
Lee, Young Jin, et al.. (2009). Estimation of Site Index Equation for Pinus densiflora at Mt. Osu Region using Schnute Growth Function. 43(4). 9–14.5 indexed citations
16.
Son, Yeong‐Mo, et al.. (2007). Substitution Effect of Fossil Fuel using Biomass produced by Forest Treatment. Journal of Korean Society of Forest Science. 96(6). 639–643.1 indexed citations
17.
Son, Yeong‐Mo, et al.. (2007). Estimation of Forest Biomass in Korea. Journal of Korean Society of Forest Science. 96(4). 477–482.12 indexed citations
18.
Park, Min Soo, et al.. (2005). Biomass Expansion Factors for Pinus densiflora in Relation to Ecotype and Stand Age. Journal of Korean Society of Forest Science. 94(6). 441–445.11 indexed citations
19.
Son, Yeong‐Mo, et al.. (2005). Aboveground Carbon Storage of Quercus acuta Stands by Thinning Intensity. Korean Journal of Agricultural and Forest Meteorology. 7(4). 282–288.6 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.