Esperanza Debby Ng

4.3k citations
29 papers · 2.6k indexed · 3 hit papers · h-index 20

Esperanza Debby Ng

29 papers receiving 2.5k citations

Hit Papers

Global prevalence of depression and elevated depressiv...6872018202620202023200400600

Peers

Esperanza Debby Ng
Comparison fields: 5 of 140
  • Health Informatics 97
  • Clinical Psychology 1.0k
  • Obstetrics and Gynecology 373
  • Leadership and Management 54
  • Research and Theory 34
Replace Ling Jie Cheng with:
Ling Jie Cheng Singapore
Karmel W. Choi United States
Min‐Huey Chung Taiwan
Anne Herrmann‐Werner Germany
Samantha Teague Australia
Siobhan O’Neill United Kingdom
Suzanne Rose United States
Behnam Khaledi‐Paveh Iran
Jaime Delgadillo United Kingdom
Sandra J. Weiss United States
Esperanza Debby Ng relative to Ling Jie Cheng Singapore Ling Jie Cheng's profile →
Citations per field
00.5×7.2×
Ling Jie Cheng · 1×
Citations per year

Countries citing papers authored by Esperanza Debby Ng

Since Specialization
Citations

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

Fields of papers citing papers by Esperanza Debby Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esperanza Debby Ng. 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 Esperanza Debby Ng. The network helps show where Esperanza Debby Ng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202320
2 202267
3 202225
4 20226
5 202175
6 202140
7 202113
8
Global prevalence of depression and elevated depressive symptoms among adolescents: A systematic review and meta‐analysisbreakdown →
2021687
9 202159
10 20212
11 202021
12 202082
13
The use of virtual reality simulation among nursing students and registered nurses: A systematic reviewbreakdown →
2020219
14 2019139
15 201932
16 201917
17 201973
18 201820
19
Prevalence and incidence of postpartum depression among healthy mothers: A systematic review and meta-analysisbreakdown →
2018643
20 201859

About Esperanza Debby Ng

Esperanza Debby Ng is a scholar working on Research and Theory, Leadership and Management and Health Informatics, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (10 papers), Infant Development and Preterm Care (6 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers), Simulation-Based Education in Healthcare (4 papers), Breastfeeding Practices and Influences (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Diabetes Management and Research (3 papers) and Family and Disability Support Research (3 papers). The work is most often cited by research in Health Informatics (97 citations), Clinical Psychology (1.0k citations) and Obstetrics and Gynecology (373 citations). Esperanza Debby Ng has collaborated with scholars based in Singapore, Canada and Sweden. Frequent co-authors include Shefaly Shorey, Celine Wong, Cornelia Yin Ing Chee, Yiong Huak Chan, Yap Seng Chong, Wilson Tam, Emily Ang, John Yap, Chee‐Kong Chui and Joelle Yan Xin Chua. Their work appears in journals such as PEDIATRICS, Cochrane Database of Systematic Reviews and Journal of Medical Internet Research.

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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