Hong Ju

1.7k citations
22 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
Menstrual Health and Disorders (5 papers)Bioinformatics and Genomic Networks (5 papers)Genetic Associations and Epidemiology (4 papers)
Partner nations
ChinaAustraliaCanada

In The Last Decade

Hong Ju

21 papers receiving 1.2k citations

Hit Papers

The Prevalence and Risk Factors of Dysmenorrhea20132026201720212013100200300400500

Peers

Hong Ju
Comparison fields: 5 of 111
  • Public Health, Environmental and Occupational Health 622
  • Molecular Biology 309
  • Reproductive Medicine 231
  • Obstetrics and Gynecology 205
  • General Health Professions 132
Replace Hyun Ah Park with:
Hyun Ah Park South Korea
Mahdieh Hosseinzadeh Iran
Mona Hmoud AlSheikh Saudi Arabia
Majid Karandish Iran
Maryam Gholamalizadeh Iran
Hei‐Jen Jou Taiwan
Leila Amini Iran
Fangfang Wang China
Teodora Handjieva‐Darlenska Denmark
Han Byul Jang South Korea
Hong Ju relative to Hyun Ah Park South Korea Hyun Ah Park's profile →
Citations per field
00.5×4.8×
Hyun Ah Park · 1×
Citations per year

Countries citing papers authored by Hong Ju

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Ju. A scholar is included among the top collaborators of Hong Ju 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 Hong Ju. Hong Ju 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
#WorkIndexed citations
1 67
2 82
3 6
4 18
5 50
6 81
7 43
8 17
9 1
10 3
11 5
12 8
13 70
14
The Effects of Participating Senior Exercise Program on Successful Aging - Focusing on the Mediating Effect of Lifestyle Changes -
1
15 22
16 41
17
The Prevalence and Risk Factors of Dysmenorrheabreakdown →
533
18 96
19 77
20
[Investigation of multifocal electroretinogram in amblyopia].
2

About Hong Ju

Hong Ju is a scholar working on Cancer Research, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Menstrual Health and Disorders (5 papers), Bioinformatics and Genomic Networks (5 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Reproductive Medicine (231 citations), Obstetrics and Gynecology (205 citations) and Public Health, Environmental and Occupational Health (622 citations). Hong Ju has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Mark Jones, Gita D. Mishra, Yang Hu, Liang Cheng, Peter O’Rourke, Yogesh Chadha, Tim Donovan, Weiju Sun, Meng Zhou and Ying Han. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology and BMC Genomics.

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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