Xiaojuan Wan

641 citations
29 papers · 423 · h-index 12

Impact in

Papers in

Xiaojuan Wan

26 papers receiving 415 citations

Peers

Xiaojuan Wan
Comparison fields: 5 of 86
  • Rheumatology 102
  • Rehabilitation 37
  • Urology 33
  • Research and Theory 3
  • Occupational Therapy 14
Replace Andrew H. Slattengren with:
Andrew H. Slattengren United States
Magdalena Emilia Grzybowska Poland
Mary Stephens United States
Teresa Monjardino Portugal
Osvaldo Padron United States
Cornelia Betschart Switzerland
Joan Pitkin United Kingdom
João Simão de Melo Neto Brazil
Diego de Sousa Dantas Brazil
Sadiqa Syed Pakistan
Xiaojuan Wan relative to Andrew H. Slattengren United States Andrew H. Slattengren's profile →
Citations per field
00.5×9.3×
Andrew H. Slattengren · 1×
Citations per year

Countries citing papers authored by Xiaojuan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201643
2 201943
3 201742
4 201441
5 202140
6 202226
7 201422
8 201622
9 202321
10 202418
11 201417
12 202116
13 201711
14 201810
15 20228
16 20168
17 20177
18 20256
19 20246
20 20205

About Xiaojuan Wan

Xiaojuan Wan is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Rehabilitation, Molecular Biology and Epidemiology, having authored 29 papers that have together received 423 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (6 papers), Stroke Rehabilitation and Recovery (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Diabetes Management and Education (3 papers), Digestive system and related health (2 papers), Diet and metabolism studies (1 paper), Diabetes Management and Research (1 paper) and Healthcare professionals’ stress and burnout (1 paper). The work is most often cited by research in Rheumatology (102 citations), Rehabilitation (37 citations), Urology (33 citations), Research and Theory (3 citations) and Occupational Therapy (14 citations). Xiaojuan Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kefang Wang, Dongjuan Xu, Janita Pak Chun Chau, Cuili Wang, Xu Liu, Huanyu Mou, Liqun Huang, Chen Wu, Weijuan Gong and Robert L Kane. Their work appears in journals such as International Journal of Nursing Studies, Acta Diabetologica, Journal of Clinical Nursing, International Journal of Nursing Sciences and Reproduction Fertility and Development.

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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