Deanette Pang

22 total papers · 662 total citations
16 papers, 271 citations indexed

About

Deanette Pang is a scholar working on Infectious Diseases, Health and Neurology. According to data from OpenAlex, Deanette Pang has authored 16 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Health and 3 papers in Neurology. Recurrent topics in Deanette Pang's work include SARS-CoV-2 and COVID-19 Research (9 papers), Vaccine Coverage and Hesitancy (7 papers) and COVID-19 Clinical Research Studies (3 papers). Deanette Pang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), Vaccine Coverage and Hesitancy (7 papers) and COVID-19 Clinical Research Studies (3 papers). Deanette Pang collaborates with scholars based in Singapore, Hong Kong and China. Deanette Pang's co-authors include David Chien Lye, Kelvin Bryan Tan, Calvin J. Chiew, Benjamin Ong, Liang En Wee, Kelvin Bryan Tan, Ben Ong, Jue Tao Lim, Vernon J. Lee and Kavita Venkataraman and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Infectious Diseases and Diabetologia.

In The Last Decade

Deanette Pang

16 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Deanette Pang 158 57 47 40 39 16 271
Shahram Oliaei 84 0.5× 28 0.5× 15 0.3× 10 0.3× 28 0.7× 12 224
Jie Li 216 1.4× 52 0.9× 15 0.3× 14 0.3× 41 1.1× 20 318
Yael Hershkovitz 120 0.8× 12 0.2× 75 1.6× 8 0.2× 39 1.0× 17 212
Koel Dutta 122 0.8× 20 0.4× 36 0.8× 43 1.1× 23 0.6× 10 212
Rama Vunnam 190 1.2× 59 1.0× 22 0.5× 6 0.1× 26 0.7× 13 322
Mahta Arbabi 157 1.0× 94 1.6× 4 0.1× 19 0.5× 28 0.7× 9 309
Sarah Reda 208 1.3× 43 0.8× 112 2.4× 5 0.1× 25 0.6× 10 320
Marcarious M. Tantuoyir 145 0.9× 37 0.6× 13 0.3× 3 0.1× 46 1.2× 19 241
Tatiana Farias de Oliveira 135 0.9× 93 1.6× 16 0.3× 5 0.1× 17 0.4× 12 262
Mohammed Shabrawishi 137 0.9× 61 1.1× 21 0.4× 9 0.2× 20 0.5× 14 225

Countries citing papers authored by Deanette Pang

Since Specialization
Citations

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

Fields of papers citing papers by Deanette Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanette Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Deanette Pang. A scholar is included among the top collaborators of Deanette Pang 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 Deanette Pang. Deanette Pang 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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