Tina Liu

1.1k total citations · 1 hit paper
22 papers, 378 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 378 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 Spam and Phishing Detection (2 papers), Visual perception and processing mechanisms (2 papers) and Racial and Ethnic Identity Research (2 papers). Tina Liu is often cited by papers focused on Spam and Phishing Detection (2 papers), Visual perception and processing mechanisms (2 papers) and Racial and Ethnic Identity Research (2 papers). Tina Liu collaborates with scholars based in United States, Canada and Denmark. Tina Liu's co-authors include Carl L. Keen, Janet Y. Uriu‐Hare, Kimber L. Stanhope, Peter J. Havel, Judith S. Stern, Bo Åhrén, Amanda Crowell, Mark Felton, Sibel Adalı and Lasse Saaby 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 362 citations

Hit Papers

Severe Hypoglycemia and Impaired Awareness of Hypoglycemi... 2024 2026 2025 2024 10 20 30 40

Peers

Tina Liu
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 134
  • Nutrition and Dietetics 104
  • Epidemiology 102
  • Surgery 84
  • Physiology 73
Replace Kirsten Dahl with:
Kirsten Dahl Denmark
Jinxiang Hu United States
Anjali Amin United Kingdom
Stephanie Budgett New Zealand
Aseel AlSaleh Bahrain
Eun Kyung Kwon South Korea
Martin R. Späth Germany
Irene Chang United States
Makoto Yamashita Japan
Tyler Dean United States
Kirsten Dahl Denmark View profile →
Citations per field, relative to Tina Liu
Tina Liu · 1×
Citations per year, relative to Tina Liu
Tina Liu · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3
Severe Hypoglycemia and Impaired Awareness of Hypoglycemia Persist in People With Type 1 Diabetes Despite Use of Diabetes Technology: Results From a Cross-sectional Survey breakdown →
42
4 2
5 0
6 2
7 0
8 4
9 6
10 52
11 5
12 2
13 4
14 54
15 6
16 0
17 11
18
Optimal Link Bombs are Uncoordinated.
16
19
ANALYZING THE IMPORTANCE OF GROUP STRUCTURE IN THE GOOGLE PAGERANK ALGORITHM
1
20 170

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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