Tina Liu

64 total papers · 1.1k total citations
22 papers, 375 citations indexed

About

Tina Liu is a scholar working on Neurology, Statistical and Nonlinear Physics and Epidemiology. According to data from OpenAlex, Tina Liu has authored 22 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Statistical and Nonlinear Physics and 3 papers in Epidemiology. Recurrent topics in Tina Liu's work include Diabetes Treatment and Management (2 papers), Racial and Ethnic Identity Research (2 papers) and Celiac Disease Research and Management (2 papers). Tina Liu is often cited by papers focused on Diabetes Treatment and Management (2 papers), Racial and Ethnic Identity Research (2 papers) and Celiac Disease Research and Management (2 papers). Tina Liu collaborates with scholars based in United States, Canada and New Zealand. Tina Liu's co-authors include Janet Y. Uriu‐Hare, Peter J. Havel, Judith S. Stern, Kimber L. Stanhope, Carl L. Keen, Bo Åhrén, Amanda Crowell, Mark Felton, Sibel Adalı and Ingrid Swanson Pultz and has published in prestigious journals such as Blood, Gastroenterology and Journal of the American College of Cardiology.

In The Last Decade

Tina Liu

16 papers receiving 359 citations

Hit Papers

Severe Hypoglycemia and I... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Tina Liu 134 103 101 83 73 22 375
Anjali Amin 82 0.6× 85 0.8× 42 0.4× 52 0.6× 122 1.7× 17 446
Norlida Mat Daud 94 0.7× 80 0.8× 25 0.2× 119 1.4× 211 2.9× 21 433
Pau Moreno 19 0.1× 9 0.1× 32 0.3× 199 2.4× 125 1.7× 34 408
Aseel AlSaleh 14 0.1× 139 1.3× 66 0.7× 31 0.4× 113 1.5× 24 350
Eun Kyung Kwon 92 0.7× 68 0.7× 79 0.8× 84 1.0× 123 1.7× 27 431
N. Sopranzi 51 0.4× 27 0.3× 39 0.4× 90 1.1× 36 0.5× 20 404
Saleem S. Qader 150 1.1× 92 0.9× 34 0.3× 217 2.6× 113 1.5× 27 399
Pierre Robin 26 0.2× 29 0.3× 59 0.6× 20 0.2× 173 2.4× 19 436
Arieh Gertler 123 0.9× 78 0.8× 95 0.9× 27 0.3× 68 0.9× 19 410
J. S. Davison 67 0.5× 30 0.3× 9 0.1× 86 1.0× 91 1.2× 17 402

Countries citing papers authored by Tina Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tina Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Liu

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