Su-Fen Cheng

18 total papers · 696 total citations
15 papers, 473 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 473 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 Innovative Teaching and Learning Methods (2 papers), Interprofessional Education and Collaboration (2 papers) and Health disparities and outcomes (2 papers). Su-Fen Cheng is often cited by papers focused on Innovative Teaching and Learning Methods (2 papers), Interprofessional Education and Collaboration (2 papers) and Health disparities and outcomes (2 papers). Su-Fen Cheng collaborates with scholars based in Taiwan, United States and Gambia. Su-Fen Cheng's co-authors include Jane Lee‐Hsieh, Kuan‐Chia Lin, Shu‐Yuan Liang, Alvisa Palese, Lucia Cadorin, Roxie L. Foster, Shao‐Yu Tsai, Ching–Yi Lai, Wei‐Wen Wu 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 436 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Su-Fen Cheng 182 91 76 73 73 15 473
Belinda Deal 114 0.6× 63 0.7× 41 0.5× 74 1.0× 37 0.5× 26 417
Weirong Yan 220 1.2× 196 2.2× 104 1.4× 27 0.4× 21 0.3× 13 537
Thomas K S Wong 110 0.6× 71 0.8× 132 1.7× 19 0.3× 23 0.3× 17 501
Daphne Martin 200 1.1× 131 1.4× 98 1.3× 26 0.4× 15 0.2× 13 510
Kay Sackett 148 0.8× 138 1.5× 100 1.3× 163 2.2× 13 0.2× 15 487
Charlotte Todd 76 0.4× 152 1.7× 80 1.1× 90 1.2× 43 0.6× 20 452
Aklime Dicle 189 1.0× 127 1.4× 92 1.2× 38 0.5× 13 0.2× 21 459
Bonnie Jones 88 0.5× 187 2.1× 94 1.2× 17 0.2× 96 1.3× 19 516
Barbara A May 134 0.7× 98 1.1× 144 1.9× 16 0.2× 38 0.5× 12 527
Ann Henderson 102 0.6× 151 1.7× 129 1.7× 22 0.3× 62 0.8× 14 539

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

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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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