Youngju Pak

1.1k total citations
46 papers, 790 citations indexed

About

Youngju Pak is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Youngju Pak has authored 46 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Public Health, Environmental and Occupational Health and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Youngju Pak's work include Hormonal and reproductive studies (5 papers), Hemoglobinopathies and Related Disorders (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Youngju Pak is often cited by papers focused on Hormonal and reproductive studies (5 papers), Hemoglobinopathies and Related Disorders (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Youngju Pak collaborates with scholars based in United States, United Kingdom and Türkiye. Youngju Pak's co-authors include Stephanie A. Reid‐Arndt, Lorraine J. Phillips, Cheryl Rathert, Smrita Dorairajan, Kunal Chaudhary, Anand Chockalingam, Rocío Melissa Rivera, Ronald S. Swerdloff, Richard Casaburi and Harry B. Rossiter and has published in prestigious journals such as Nature Medicine, Blood and PLoS ONE.

In The Last Decade

Youngju Pak

45 papers receiving 762 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Youngju Pak United States 17 130 117 110 103 99 46 790
Sarah Cockayne United Kingdom 20 93 0.7× 215 1.8× 91 0.8× 125 1.2× 55 0.6× 56 1.5k
Jaap E. Tulleken Netherlands 22 162 1.2× 154 1.3× 204 1.9× 83 0.8× 111 1.1× 62 1.2k
Mazen Ferwana Saudi Arabia 14 99 0.8× 150 1.3× 141 1.3× 153 1.5× 137 1.4× 37 892
Yonas Akalu Ethiopia 16 91 0.7× 62 0.5× 161 1.5× 81 0.8× 35 0.4× 52 1.1k
Jérôme Pasquier Switzerland 21 79 0.6× 178 1.5× 51 0.5× 209 2.0× 115 1.2× 63 1.0k
Caitlin Daly United Kingdom 14 66 0.5× 60 0.5× 111 1.0× 60 0.6× 55 0.6× 30 1.0k
Sandra Wagner France 17 73 0.6× 120 1.0× 48 0.4× 35 0.3× 74 0.7× 61 716
Albert Akpalu Ghana 17 94 0.7× 98 0.8× 71 0.6× 64 0.6× 86 0.9× 63 1.4k
Pedro Guatimosim Vidigal Brazil 19 59 0.5× 264 2.3× 166 1.5× 180 1.7× 42 0.4× 40 1.1k
Stephen Farish Australia 19 96 0.7× 123 1.1× 73 0.7× 130 1.3× 99 1.0× 42 1.2k

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-authorship network of co-authors of Youngju Pak

This figure shows the co-authorship network connecting the top 25 collaborators of Youngju Pak. A scholar is included among the top collaborators of Youngju Pak 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 Youngju Pak. Youngju Pak 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
1.
Wang, Christina, Yanhe Lue, Ronald S. Swerdloff, et al.. (2024). Use of at-home sperm concentration testing in a male hormonal contraceptive efficacy clinical trial. Fertility and Sterility. 123(3). 529–531. 1 indexed citations
2.
Polgreen, Lynda E., Agnes H. Chen, Youngju Pak, et al.. (2024). Anakinra in Sanfilippo syndrome: a phase 1/2 trial. Nature Medicine. 30(9). 2473–2479. 3 indexed citations
3.
Lee, Hae‐Seung, et al.. (2023). The Effect of Testosterone Replacement Therapy on Nonalcoholic Fatty Liver Disease in Older Hypogonadal Men. The Journal of Clinical Endocrinology & Metabolism. 109(2). e757–e764. 10 indexed citations
4.
Lee, Hae‐Seung, et al.. (2023). OR25-06 The Effect of Testosterone Replacement Therapy on NAFLD in Elderly Hypogonadal Men. Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations
5.
Lue, Yanhe, Ronald S. Swerdloff, Youngju Pak, et al.. (2022). Male contraception development: monitoring effective spermatogenesis suppression utilizing a user-controlled sperm concentration test compared with standard semen analysis. Fertility and Sterility. 119(2). 208–217. 9 indexed citations
7.
Shetgiri, Rashmi, et al.. (2022). Physical Activity Counseling and Documentation by Pediatric Residents in Primary Care: Before and After Introduction of the FITT Principle. Clinical Pediatrics. 62(5). 449–455. 3 indexed citations
8.
Xiong, Yan Q., Wessam Abdelhady, Youngju Pak, et al.. (2020). Effect of the Lysin Exebacase on Cardiac Vegetation Progression in a Rabbit Model of Methicillin-Resistant Staphylococcus aureus Endocarditis as Determined by Echocardiography. Antimicrobial Agents and Chemotherapy. 64(7). 14 indexed citations
9.
Sherman, Steven I., Youngju Pak, Danielle R. Litofsky, et al.. (2020). The De Novo Detection of Anti-Thyroglobulin Antibodies and Differentiated Thyroid Cancer Recurrence. Thyroid. 30(10). 1490–1495. 14 indexed citations
10.
Hansen, James E., Aslı Görek Dilektaşlı, János Pórszász, et al.. (2019). A New Bronchodilator Response Grading Strategy Identifies Distinct Patient Populations. Annals of the American Thoracic Society. 16(12). 1504–1517. 26 indexed citations
11.
Wu, Sherry Y., Ronald S. Swerdloff, Youngju Pak, et al.. (2018). Safety and Pharmacokinetics of Single-Dose Novel Oral Androgen 11 β -Methyl-19-Nortestosterone-17 β -Dodecylcarbonate in Men. The Journal of Clinical Endocrinology & Metabolism. 104(3). 629–638. 34 indexed citations
13.
Shah, Anuja, Jenny I. Shen, Lili Tong, et al.. (2016). Effects of Minocycline on Urine Albumin, Interleukin-6, and Osteoprotegerin in Patients with Diabetic Nephropathy: A Randomized Controlled Pilot Trial. PLoS ONE. 11(3). e0152357–e0152357. 5 indexed citations
14.
Dilektaşlı, Aslı Görek, János Pórszász, Richard Casaburi, et al.. (2016). A Novel Spirometric Measure Identifies Mild COPD Unidentified by Standard Criteria. CHEST Journal. 150(5). 1080–1090. 39 indexed citations
15.
Pak, Youngju, et al.. (2015). Superovulation induces alterations in the epigenome of zygotes, and results in differences in gene expression at the blastocyst stage in mice. Molecular Reproduction and Development. 82(3). 207–217. 40 indexed citations
16.
Panosyan, Eduard H., Yuntao Wang, Wai‐Nang Paul Lee, et al.. (2014). Asparagine Depletion Potentiates the Cytotoxic Effect of Chemotherapy against Brain Tumors. Molecular Cancer Research. 12(5). 694–702. 58 indexed citations
17.
Rantz, Marilyn, Marjorie Skubic, Carmen Abbott, et al.. (2012). Automated Fall Risk Assessment and Detection in the Home: A Preliminary Investigation. National Conference on Artificial Intelligence. 2 indexed citations
18.
Dorairajan, Smrita, et al.. (2011). Elevated serum parathyroid hormone is a cardiovascular risk factor in moderate chronic kidney disease. International Urology and Nephrology. 44(2). 541–547. 54 indexed citations
19.
Phillips, Lorraine J., Stephanie A. Reid‐Arndt, & Youngju Pak. (2010). Effects of a Creative Expression Intervention on Emotions, Communication, and Quality of Life in Persons With Dementia. Nursing Research. 59(6). 417–425. 87 indexed citations
20.
Ohrbach, Richard, et al.. (2008). Extraction of RDC/TMD subscales from the symptom check list-90: does context alter respondent behavior?. PubMed. 22(4). 331–9. 10 indexed citations

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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