Eva Liang

428 citations
30 papers · 307 · h-index 10

Impact in

Papers in

Eva Liang

27 papers receiving 288 citations

Peers

Eva Liang
Comparison fields: 5 of 62
  • Developmental and Educational Psychology 86
  • Research and Theory 14
  • Applied Microbiology and Biotechnology 9
  • Leadership and Management 5
  • Anesthesiology and Pain Medicine 18
Replace Sumayah Aljhani with:
Sumayah Aljhani Saudi Arabia
Young Hui Hwang South Korea
Maiara Rodrigues dos Santos Brazil
Desiree A. Díaz United States
Annica Lövenmark Sweden
Valerie Chan Singapore
Tajudeen Abiola Nigeria
Karen A. Friedman United States
Marzena Mikla Spain
Elza de Fátima Ribeiro Higa Brazil
Eva Liang relative to Sumayah Aljhani Saudi Arabia Sumayah Aljhani's profile →
Citations per field
00.5×2×3×3.5×
Sumayah Aljhani · 1×
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 201464
2 201539
3 202022
4 201917
5 201917
6 202017
7 202117
8 202215
9 201610
10 202010
11 20239
12 20198
13 20198
14 20218
15 20197
16 20207
17
"I Like Being Involved in School Stuff": Mothers' Perspectives around Their Participation in Family Engagement in Universal Prekindergarten.
20206
18 20216
19 20226
20 20203

About Eva Liang

Eva Liang is a scholar working on General Health Professions, Anesthesiology and Pain Medicine, Education, Infectious Diseases and Family Practice, having authored 30 papers that have together received 307 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), Early Childhood Education and Development (4 papers), Cancer survivorship and care (4 papers), Interpreting and Communication in Healthcare (4 papers), Pain Management and Opioid Use (3 papers), Language Development and Disorders (3 papers), Mobile Health and mHealth Applications (2 papers) and Medication Adherence and Compliance (2 papers). The work is most often cited by research in Developmental and Educational Psychology (86 citations), Research and Theory (14 citations), Applied Microbiology and Biotechnology (9 citations), Leadership and Management (5 citations) and Anesthesiology and Pain Medicine (18 citations). Eva Liang has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include Rufan Luo, Catherine S. Tamis‐LeMonda, Yana A. Kuchirko, Florrie Fei‐Yin Ng, Amy Witkoski Stimpfel, Janet H. Van Cleave, Sherryl Browne Graves, Lloyd A. Goldsamt, Allison Patricia Squires and Chenjuan Ma. Their work appears in journals such as Journal of Pain, Pain Management Nursing, Journal of Nursing Regulation, Antibiotics 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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