Rita YT Sung

8 total papers · 591 total citations
8 papers, 483 citations indexed

About

Rita YT Sung is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Rita YT Sung has authored 8 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Public Health, Environmental and Occupational Health and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Rita YT Sung's work include Obesity, Physical Activity, Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Birth, Development, and Health (2 papers). Rita YT Sung is often cited by papers focused on Obesity, Physical Activity, Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Birth, Development, and Health (2 papers). Rita YT Sung collaborates with scholars based in Hong Kong, China and United States. Rita YT Sung's co-authors include Hung‐Kwan So, E. Anthony S. Nelson, Albert M. Li, Tai-Fai Fok, Kai Chow Choi, Guansheng Ma, Cheng-ye Ji, Jun Ma, William B. Goggins and Jane Yin and has published in prestigious journals such as BMC Public Health, Journal of Hypertension and Journal of Paediatrics and Child Health.

In The Last Decade

Rita YT Sung

8 papers receiving 469 citations

Author Peers

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

Author Last Decade Papers Cites
Rita YT Sung 311 120 116 96 82 8 483
Daniel Okorodudu 273 0.9× 84 0.7× 167 1.4× 49 0.5× 28 0.3× 7 464
Azam Goodarzi 277 0.9× 77 0.6× 62 0.5× 53 0.6× 89 1.1× 17 487
Anna N. Funtikova 310 1.0× 69 0.6× 135 1.2× 42 0.4× 64 0.8× 11 444
Efthymios Kapantais 290 0.9× 83 0.7× 110 0.9× 37 0.4× 70 0.9× 14 503
Shadrach Dare 152 0.5× 81 0.7× 64 0.6× 41 0.4× 31 0.4× 13 529
Elena Sergeyev 200 0.6× 122 1.0× 96 0.8× 31 0.3× 94 1.1× 12 464
Claudio Maffeis 340 1.1× 83 0.7× 151 1.3× 42 0.4× 25 0.3× 9 517
Lindsey A. Loomba‐Albrecht 148 0.5× 82 0.7× 145 1.3× 31 0.3× 64 0.8× 11 415
Lana Bell 287 0.9× 95 0.8× 131 1.1× 44 0.5× 69 0.8× 12 454
Ewelina Napieralska 226 0.7× 115 1.0× 92 0.8× 55 0.6× 58 0.7× 8 454

Countries citing papers authored by Rita YT Sung

Since Specialization
Citations

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

Fields of papers citing papers by Rita YT Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita YT Sung. 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 Rita YT Sung. The network helps show where Rita YT Sung may publish in the future.

Co-authorship network of co-authors of Rita YT Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Rita YT Sung. A scholar is included among the top collaborators of Rita YT Sung 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 Rita YT Sung. Rita YT Sung 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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