Eva Liang

497 citations
30 papers · 246 · h-index 10

Impact in

Papers in

    • Healthcare professionals’ stress and burnout 3
    • Workplace Health and Well-being 3
    • Early Childhood Education and Development 6
    • Parental Involvement in Education 3

Eva Liang

26 papers receiving 236 citations

Peers

Eva Liang
Comparison fields: 5 of 80
  • Research and Theory 8
  • Developmental and Educational Psychology 68
  • Applied Microbiology and Biotechnology 10
  • Linguistics and Language 16
  • Education 89
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Citations per year

Countries citing papers authored by Eva Liang

Since Specialization
Citations

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

Fields of papers citing papers by Eva Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201536
3 202018
4 202114
5 201914
6 202013
7 201913
8 202212
9 201610
10 20209
11 20198
12 20197
13 20197
14 20236
15 20216
16 20215
17 20205
18 20245
19
"I Like Being Involved in School Stuff": Mothers' Perspectives around Their Participation in Family Engagement in Universal Prekindergarten.
20203
20 20242

About Eva Liang

Eva Liang is a scholar working on General Health Professions, Education, Otorhinolaryngology, Developmental and Educational Psychology and Clinical Psychology, having authored 30 papers that have together received 246 indexed citations. Recurring topics across this work include Early Childhood Education and Development (6 papers), Head and Neck Cancer Studies (6 papers), Healthcare professionals’ stress and burnout (3 papers), HIV/AIDS Research and Interventions (3 papers), Workplace Health and Well-being (3 papers), Parental Involvement in Education (3 papers), Cancer survivorship and care (3 papers) and Pain Management and Opioid Use (2 papers). The work is most often cited by research in Research and Theory (8 citations), Developmental and Educational Psychology (68 citations), Applied Microbiology and Biotechnology (10 citations), Linguistics and Language (16 citations) and Education (89 citations). Eva Liang has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Rufan Luo, Catherine S. Tamis‐LeMonda, Yana Kuchirko, Amy Witkoski Stimpfel, Florrie Fei‐Yin Ng, Janet H. Van Cleave, Sherryl Browne Graves, Lloyd A. Goldsamt, Allison Squires and Chenjuan Ma. Their work appears in journals such as Journal of Pain, Journal of Nursing Regulation, Pain Management Nursing, Cornea and Nursing 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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