Su-Fen Cheng

704 total citations
15 papers, 482 citations indexed

About

Su-Fen Cheng is a scholar working on Pediatrics, Perinatology and Child Health, Health and General Health Professions. According to data from OpenAlex, Su-Fen Cheng has authored 15 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pediatrics, Perinatology and Child Health, 3 papers in Health and 3 papers in General Health Professions. Recurrent topics in Su-Fen Cheng's work include Health disparities and outcomes (2 papers), Innovative Teaching and Learning Methods (2 papers) and Pediatric Pain Management Techniques (2 papers). Su-Fen Cheng is often cited by papers focused on Health disparities and outcomes (2 papers), Innovative Teaching and Learning Methods (2 papers) and Pediatric Pain Management Techniques (2 papers). Su-Fen Cheng collaborates with scholars based in Taiwan, United States and Australia. Su-Fen Cheng's co-authors include Jane Lee‐Hsieh, Kuan‐Chia Lin, Shu‐Yuan Liang, Lucia Cadorin, Alvisa Palese, Roxie L. Foster, Wei‐Wen Wu, Shao‐Yu Tsai, Ching–Yi Lai and Meei‐Ling Gau and has published in prestigious journals such as International Journal of Environmental Research and Public Health, International Journal of Nursing Studies and Nursing Research.

In The Last Decade

Su-Fen Cheng

15 papers receiving 446 citations

Peers

Su-Fen Cheng
Comparison fields: 5 of 88
  • Education 184
  • Public Health, Environmental and Occupational Health 94
  • General Health Professions 77
  • Developmental and Educational Psychology 74
  • Pediatrics, Perinatology and Child Health 73
Replace Amanda Müller with:
Amanda Müller Australia
Fernanda dos Santos Nogueira de Góes Brazil
Belinda Deal United States
Natália D. Aredes Brazil
Marc‐André Maheu‐Cadotte Canada
Marcel de Toledo Vieira Brazil
Meigan Robb United States
Jane Lee‐Hsieh Taiwan
Wafika A. Suliman Saudi Arabia
Carmen Ropero‐Padilla Spain
Amanda Müller Australia View profile →
Citations per field, relative to Su-Fen Cheng
Su-Fen Cheng · 1×
Citations per year, relative to Su-Fen Cheng
Su-Fen Cheng · 1×

Countries citing papers authored by Su-Fen Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Su-Fen Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Fen Cheng. 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 Su-Fen Cheng. The network helps show where Su-Fen Cheng may publish in the future.

Co-authorship network of co-authors of Su-Fen Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Fen Cheng. A scholar is included among the top collaborators of Su-Fen Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Su-Fen Cheng. Su-Fen Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 13
2 22
3 18
4 28
5 26
6 17
7 39
8 66
9 24
10 3
11 12
12 10
13 167
14 12
15 25

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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2026