Ying Foo

498 total citations
14 papers, 377 citations indexed

About

Ying Foo is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ying Foo has authored 14 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Epidemiology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ying Foo's work include Blood properties and coagulation (2 papers), Iron Metabolism and Disorders (2 papers) and Breastfeeding Practices and Influences (2 papers). Ying Foo is often cited by papers focused on Blood properties and coagulation (2 papers), Iron Metabolism and Disorders (2 papers) and Breastfeeding Practices and Influences (2 papers). Ying Foo collaborates with scholars based in United Kingdom, Canada and United States. Ying Foo's co-authors include Natalia Bogdanovich, Emily Oken, Richard M. Martin, Konstantin Vilchuck, Rita Patel, Michael S. Kramer, Tom Palmer, Matthew W. Gillman, George Davey Smith and Sidney B. Rosalki and has published in prestigious journals such as JAMA, Circulation and PLoS ONE.

In The Last Decade

Ying Foo

13 papers receiving 365 citations

Peers

Ying Foo
Comparison fields: 5 of 88
  • Public Health, Environmental and Occupational Health 133
  • Epidemiology 130
  • Pediatrics, Perinatology and Child Health 124
  • Surgery 60
  • Nutrition and Dietetics 49
Replace Yeon Kyung Lee with:
Yeon Kyung Lee South Korea
Bhagya L. Puppala United States
Romina‐Marina Sima Romania
Ma. Victoria Domínguez García Mexico
Ayesha Malik Pakistan
Manee Rattanachaiyanont Thailand
Ruben Vaidya United States
Rimantas Žalinkevičius Lithuania
Mehmet Sıddık Evsen Türkiye
Hideki Kumagai Japan
Yeon Kyung Lee South Korea View profile →
Citations per field, relative to Ying Foo
Ying Foo · 1×
Citations per year, relative to Ying Foo
Ying Foo · 1×

Countries citing papers authored by Ying Foo

Since Specialization
Citations

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

Fields of papers citing papers by Ying Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Foo

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Foo. A scholar is included among the top collaborators of Ying Foo 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 Ying Foo. Ying Foo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 128
3 10
4 46
5 19
6 35
7 53
8 3
9 29
10 23
11 19
12 8
13
Serumisoamylase activities indiabetes mellitus
1
14 3

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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