Sang‐Hyun Koh

529 citations
33 papers · 405 indexed · h-index 12

Sang‐Hyun Koh

31 papers receiving 389 citations

Peers

Sang‐Hyun Koh
Comparison fields: 5 of 58
  • Insect Science 240
  • Ecology, Evolution, Behavior and Systematics 124
  • Ecological Modeling 27
  • Plant Science 172
  • Ecology 107
Replace Rebecca M. Turner with:
Rebecca M. Turner New Zealand
Vyacheslav V. Martemyanov Russia
Arturo Cocco Italy
Régis Babin France
Gabriella Lo Verde Italy
Richard T. Olsen United States
Daniela Scaccabarozzi Australia
Tarcísio Visintin da Silva Galdino Brazil
Luca Rossini Italy
Lars Monrad Hansen Denmark
Sang‐Hyun Koh relative to Rebecca M. Turner New Zealand Rebecca M. Turner's profile →
Citations per field
00.5×3.5×
Rebecca M. Turner · 1×
Citations per year

Countries citing papers authored by Sang‐Hyun Koh

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Hyun Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Hyun Koh. 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 Sang‐Hyun Koh. The network helps show where Sang‐Hyun Koh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 201927
3 20189
4 201820
5 20180
6 20170
7 20171
8 201514
9 201517
10 201470
11 20143
12 201418
13 20134
14 201118
15
Characteristics of Internet Use in Relation to School Bullying
20103
16
Natural Enemies of Wood Borers and Seasonal Occurrence of Major Natural Enemies of Monochamus saltuarius on Pine Trees
20102
17 201010
18 20103
19 200824
20 200813

About Sang‐Hyun Koh

Sang‐Hyun Koh is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Ecology, Genetics and Ecological Modeling, having authored 33 papers that have together received 405 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (16 papers), Forest Insect Ecology and Management (12 papers), Insect and Arachnid Ecology and Behavior (7 papers), Plant and animal studies (7 papers), Insect and Pesticide Research (5 papers), Entomopathogenic Microorganisms in Pest Control (5 papers), Insect Pest Control Strategies (4 papers) and Fossil Insects in Amber (3 papers). The work is most often cited by research in Insect Science (240 citations), Ecology, Evolution, Behavior and Systematics (124 citations), Ecological Modeling (27 citations), Plant Science (172 citations) and Ecology (107 citations). Sang‐Hyun Koh has collaborated with scholars based in South Korea, India and Japan. Frequent co-authors include Won Il Choi, Il‐Kwon Park, Junheon Kim, Young‐Joon Ahn, Youngwoo Nam, Kyu‐Suk Kang, Jaesoon Kang, Jung‐Su Lee, Chan-Sik Jung and Jongok Lim. Their work appears in journals such as Entomologia Experimentalis et Applicata, Journal of Asia-Pacific Entomology, Forests, Pesticide Biochemistry and Physiology and Journal of Agricultural and Food Chemistry.

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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