Xiaomei Li

35 papers receiving 513 citations

Peers

Xiaomei Li
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 98
  • Family Practice 9
  • General Health Professions 98
  • Nephrology 27
  • Rehabilitation 25
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Julie Smith Denmark
Irene Sequí‐Domínguez Spain
Seung Won Lee South Korea
Oriol Cunillera Spain
Esther Rubinat Spain
Anne F. Fish United States
Indah Suci Widyahening Indonesia
Jung-Ae Rhee South Korea
Antero Kesäniemi Finland
Lisa Lucio Gough United States
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Citations per field
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Citations per year

Countries citing papers authored by Xiaomei Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 201948
3 201645
4 202044
5 201133
6 201327
7 202424
8 201123
9 201922
10 202119
11 201818
12 202217
13 202015
14 202412
15 202110
16 201610
17 20198
18 20158
19
A Qualitative Study on the Reasons for Cancer Families' Choosing whether to Inform Patient the Truth
20117
20 20217

About Xiaomei Li

Xiaomei Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Clinical Psychology, having authored 40 papers that have together received 519 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (4 papers), Diabetes Management and Research (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Diabetes Management and Education (3 papers), Urinary Bladder and Prostate Research (2 papers), Infant Development and Preterm Care (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Pediatric health and respiratory diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Family Practice (9 citations), General Health Professions (98 citations), Nephrology (27 citations) and Rehabilitation (25 citations). Xiaomei Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Janet W. H. Sit, Lily Dongxia Xiao, Jing Wang, Kai Chow Choi, Sek Ying Chair, Li Cheng, Yan Luo, Kai Wang, Yuning Wu and Xiaole He. Their work appears in journals such as International Journal of Nursing Studies, International Journal of Environmental Research and Public Health, Patient Preference and Adherence, International Journal of Nursing Studies Advances and Cell Death Discovery.

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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