Hsiao‐Lan Wang

530 citations
23 papers · 374 · h-index 9

Impact in

Papers in

Hsiao‐Lan Wang

20 papers receiving 359 citations

Peers

Hsiao‐Lan Wang
Comparison fields: 5 of 76
  • Anesthesiology and Pain Medicine 52
  • Complementary and alternative medicine 59
  • Oncology 151
  • Applied Psychology 26
  • Pediatrics, Perinatology and Child Health 98
Replace Ann M. Schreier with:
Ann M. Schreier United States
Derek R. Anderson United States
M. Elena Mendoza United States
Misae Maruguchi Japan
Laura A. Richardson United States
Kathryn Mannix United Kingdom
Eleanor Laser United States
Robyn Osborn United States
Verena Knowles United States
Olga Hatsiopoulou United States
Hsiao‐Lan Wang relative to Ann M. Schreier United States Ann M. Schreier's profile →
Citations per field
00.5×3.3×
Ann M. Schreier · 1×
Citations per year

Countries citing papers authored by Hsiao‐Lan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao‐Lan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao‐Lan Wang. 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 Hsiao‐Lan Wang. The network helps show where Hsiao‐Lan Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200493
2 201777
3 201960
4 201826
5 201322
6 201120
7 201317
8 201915
9 20219
10 20197
11 20165
12 20165
13 20235
14 20175
15 20203
16 20241
17 20201
18 20231
19
Issues Faced by Family Caregivers of Hospice Patients with Head and Neck Cancers.
20151
20 20211

About Hsiao‐Lan Wang

Hsiao‐Lan Wang is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Psychiatry and Mental health and Sociology and Political Science, having authored 23 papers that have together received 374 indexed citations. Recurring topics across this work include Cancer survivorship and care (12 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Family Support in Illness (3 papers), Palliative Care and End-of-Life Issues (3 papers), Cancer Treatment and Pharmacology (2 papers), Mindfulness and Compassion Interventions (2 papers), Pain Management and Opioid Use (2 papers) and Pediatric Pain Management Techniques (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (52 citations), Complementary and alternative medicine (59 citations), Oncology (151 citations), Applied Psychology (26 citations) and Pediatrics, Perinatology and Child Health (98 citations). Hsiao‐Lan Wang has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include J. Keck, Susan C. McMillan, Tapan Padhya, Ming Ji, Susan M. Rawl, Richard R. Reich, Lakeshia Cousin, Carmen Rodrı́guez, Harleah G. Buck and Hongdao Meng. Their work appears in journals such as Cancer Nursing, Clinical Simulation in Nursing, Research in Nursing & Health, Psycho-Oncology and Journal of Advanced Nursing.

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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