Eun‐Ju Lee

200 papers receiving 3.1k citations

Peers

Eun‐Ju Lee
Comparison fields: 5 of 195
  • Geriatrics and Gerontology 574
  • Leadership and Management 40
  • Physiology 575
  • Process Chemistry and Technology 59
  • Rheumatology 169
Replace Toru Takebayashi with:
Toru Takebayashi Japan
Lin Han China
Tim Wilkinson New Zealand
Tae Hyun Kim South Korea
Jung Sun Lee South Korea
Ben Freedman Australia
David Jarjoura United States
Jae‐Hyun Park South Korea
Eric B. Larson United States
Timothy M. Dall United States
Eun‐Ju Lee relative to Toru Takebayashi Japan Toru Takebayashi's profile →
Citations per field
00.5×9.8×
Toru Takebayashi · 1×
Citations per year

Countries citing papers authored by Eun‐Ju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Ju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Ju 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 Eun‐Ju Lee. The network helps show where Eun‐Ju Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Development of Korean Activities of Daily Living(K-ADL) and Korean Instrumental Activities of Daily Living(K-IADL) Scale
2002245
2 2019167
3 2000134
4 2016102
5 202190
6 201673
7 201971
8 202070
9 201665
10 201864
11 201858
12 201957
13 201854
14 201949
15 202244
16 200541
17 202139
18 200638
19 201337
20 200137

About Eun‐Ju Lee

Eun‐Ju Lee is a scholar working on Physiology, Geriatrics and Gerontology, Molecular Biology, Rheumatology and Process Chemistry and Technology, having authored 239 papers that have together received 3.3k indexed citations. Recurring topics across this work include Frailty in Older Adults (31 papers), Nutrition and Health in Aging (25 papers), Odor and Emission Control Technologies (13 papers), Industrial Gas Emission Control (11 papers), Healthcare Education and Workforce Issues (10 papers), Health and Wellbeing Research (9 papers), Nutrition, Health and Food Behavior (8 papers) and Food Quality and Safety Studies (7 papers). The work is most often cited by research in Geriatrics and Gerontology (574 citations), Leadership and Management (40 citations), Physiology (575 citations), Process Chemistry and Technology (59 citations) and Rheumatology (169 citations). Eun‐Ju Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Il‐Young Jang, Hee‐Won Jung, Heayon Lee, Young Soo Lee, Dae Hyun Kim, Ji Yeon Baek, Katherine Isbister, Clifford Nass, Chang Ki Lee and Hyungchul Park. Their work appears in journals such as Clinical Interventions in Aging, Scientific Reports, Korean Journal of Chemical Engineering, PLoS ONE and International Journal of Environmental Research and Public Health.

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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