Woo‐Seok Kong

1.0k citations
34 papers · 443 indexed · h-index 13

Woo‐Seok Kong

32 papers receiving 376 citations

Peers

Woo‐Seok Kong
Comparison fields: 5 of 45
  • Plant Science 221
  • Ecology, Evolution, Behavior and Systematics 216
  • Nature and Landscape Conservation 153
  • Ecological Modeling 143
  • Ecology 77
Replace Víctor Garzón‐Machado with:
Víctor Garzón‐Machado Spain
David E. V. Harter Germany
Marcelino J. del Arco Aguilar Spain
Francesco Spada Italy
Matthew A. Kaproth United States
Kelvin M. Lloyd New Zealand
Fernanda Antunes Carvalho Brazil
Sonia G. Rabasa Spain
Mario Sanz‐Elorza Spain
Ian M. Ware United States
Woo‐Seok Kong relative to Víctor Garzón‐Machado Spain Víctor Garzón‐Machado's profile →
Citations per field
00.5×1.5×2.5×
Víctor Garzón‐Machado · 1×
Citations per year

Countries citing papers authored by Woo‐Seok Kong

Since Specialization
Citations

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

Fields of papers citing papers by Woo‐Seok Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo‐Seok Kong. 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 Woo‐Seok Kong. The network helps show where Woo‐Seok Kong may publish in the future.

Co-authorship network of co-authors of Woo‐Seok Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Woo‐Seok Kong. A scholar is included among the top collaborators of Woo‐Seok Kong 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 Woo‐Seok Kong. Woo‐Seok Kong 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
#WorkIndexed citations
1 1
2 1
3 4
4 4
5
Potential Impact of Climate Change on Distribution of Warm Temperate Evergreen Broad-leaved Trees in the Korean Peninsula
13
6 13
7 41
8 3
9 18
10 12
11 5
12 7
13
Disjunctive Distribution of Vaccinium vitis-idaea and Thermal Condition
5
14
Species Composition and Distribution of Native Korean Conifers
26
15
Species Composition and Distribution of Korean Alpine Plants
18
16
Dendrochronological Analysis of Abies koreana W. at Mt. Halla, Korea: Effects of Climate Change on the Growths
30
17
Global Warming and Alpine Vegetation
3
18
The alpine and subalpine geoecology of the Korean peninsula
7
19
The plant geography of Korea with an emphasis on the alpine zones
36
20 31

About Woo‐Seok Kong

Woo‐Seok Kong is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 34 papers that have together received 443 indexed citations. Recurring topics across this work include Ecology and Conservation Studies (25 papers), Agriculture, Soil, Plant Science (9 papers) and Plant and animal studies (9 papers). The work is most often cited by research in Ecological Modeling (143 citations), Nature and Landscape Conservation (153 citations) and Ecology, Evolution, Behavior and Systematics (216 citations). Woo‐Seok Kong has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include David Watts, Seon Uk Park, Won‐Kyu Park, Changwan Seo, Huicheul Jung, Nathan P. Nibbelink, C. Hopkinson, Inyoung Jang, Hyun-Hee Kim and Soo‐Hyun Cho. Their work appears in journals such as PLoS ONE, Global Ecology and Biogeography and Ecological Modelling.

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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