Won Young Lee

612 citations
40 papers · 399 · h-index 12

Impact in

    • Animal Vocal Communication and Behavior
  • Ecology top 10%
    • Marine animal studies overview
    • Avian ecology and behavior
    • Wildlife Ecology and Conservation

Papers in

Won Young Lee

36 papers receiving 391 citations

Peers

Won Young Lee
Comparison fields: 5 of 75
  • Developmental Biology 25
  • Ecology 175
  • Ecological Modeling 27
  • Ecology, Evolution, Behavior and Systematics 95
  • Paleontology 33
Replace Gerardo R. Camilo with:
Gerardo R. Camilo United States
Karin Maldonado Chile
Congtian Lin China
Graham P. Hall Australia
R. D. Martin New Zealand
Erpur Snær Hansen Iceland
Murray Williams New Zealand
Pablo A. E. Alarcón Argentina
J. C. Webb United States
Hirofumi Hirakawa Japan
Won Young Lee relative to Gerardo R. Camilo United States Gerardo R. Camilo's profile →
Citations per field
00.5×1.5×2.3×
Gerardo R. Camilo · 1×
Citations per year

Countries citing papers authored by Won Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Young Lee. 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 Won Young Lee. The network helps show where Won Young Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Won Young Lee, 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 Won Young Lee Line = papers co-authored together Won Young Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201849
2 200636
3 202133
4 201925
5 202025
6 202024
7 201523
8 202318
9 201617
10 201416
11 202115
12 201715
13 202011
14
Avian gut microbiota and behavioral studies
20159
15 20199
16 20218
17 19698
18 20168
19 20157
20 20145

About Won Young Lee

Won Young Lee is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Nature and Landscape Conservation and Global and Planetary Change, having authored 40 papers that have together received 399 indexed citations. Recurring topics across this work include Avian ecology and behavior (12 papers), Marine animal studies overview (11 papers), Animal Behavior and Reproduction (7 papers), Gut microbiota and health (5 papers), Polar Research and Ecology (5 papers), Isotope Analysis in Ecology (4 papers), Genomics and Phylogenetic Studies (3 papers) and Animal Vocal Communication and Behavior (3 papers). The work is most often cited by research in Developmental Biology (25 citations), Ecology (175 citations), Ecological Modeling (27 citations), Ecology, Evolution, Behavior and Systematics (95 citations) and Paleontology (33 citations). Won Young Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jeong‐Hoon Kim, Hyunjun Cho, Chang‐Uk Hyun, Jong‐Chan Lee, Hosung Chung, Nobuo Kokubun, Taeowan Chung, Akinori Takahashi, Yong Tae Lee and Yoo Jung Kim. Their work appears in journals such as Polar Biology, Animal Cells and Systems, Ecology and Evolution, Animals and PLoS ONE.

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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