Youngju Pak

47 papers receiving 902 citations

Peers

Youngju Pak
Comparison fields: 5 of 122
  • Neuropsychology and Physiological Psychology 13
  • Nephrology 55
  • Endocrinology, Diabetes and Metabolism 104
  • Conservation 23
  • Public Health, Environmental and Occupational Health 163
Replace Sheila Maria Alvim Matos with:
Sheila Maria Alvim Matos Brazil
Siew Pang Chan Singapore
Isabel del Cura-González Spain
Qinqin Meng China
Lindsay R. Pool United States
Lorian Taylor Canada
Lily Alexander United States
Senyeong Kao Taiwan
H A Tyroler United States
Sarah Choi United States
Youngju Pak relative to Sheila Maria Alvim Matos Brazil Sheila Maria Alvim Matos's profile →
Citations per field
00.5×4.3×
Sheila Maria Alvim Matos · 1×
Citations per year

Countries citing papers authored by Youngju Pak

Since Specialization
Citations

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

Fields of papers citing papers by Youngju Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngju Pak. 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 Youngju Pak. The network helps show where Youngju Pak may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200697
2 201088
3 200571
4 201459
5 201155
6 201155
7 201341
8 201540
9 201639
10 201836
11 201927
12 201026
13 201725
14 201125
15 201520
16 201119
17 201017
18 202016
19 201716
20 202015

About Youngju Pak

Youngju Pak is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Genetics and Physiology, having authored 49 papers that have together received 939 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (5 papers), Hemoglobinopathies and Related Disorders (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Obesity, Physical Activity, Diet (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Antibiotic Resistance in Bacteria (2 papers), Balance, Gait, and Falls Prevention (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (13 citations), Nephrology (55 citations), Endocrinology, Diabetes and Metabolism (104 citations), Conservation (23 citations) and Public Health, Environmental and Occupational Health (163 citations). Youngju Pak has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Lorraine J. Phillips, Stephanie A. Reid‐Arndt, James N. Roemmich, Samina Raja, Rocco A. Paluch, Leonard H. Epstein, Cheryl Rathert, Kunal Chaudhary, Anton Lishmanov and Smrita Dorairajan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility, Antimicrobial Agents and Chemotherapy, Psychological Science and American Journal of Therapeutics.

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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