Tsai‐Ling Liu

27 papers receiving 454 citations

Peers

Tsai‐Ling Liu
Comparison fields: 5 of 84
  • Health Informatics 44
  • Applied Microbiology and Biotechnology 44
  • Hepatology 38
  • Otorhinolaryngology 16
  • Health Information Management 16
Replace Charles Christian Adarkwah with:
Charles Christian Adarkwah Germany
Surachat Ngorsuraches United States
Mirjana Huić Croatia
Zeynal Karaca United States
Rebecca G. Mishuris United States
Golnar Sabetian Iran
Marcin Czech Poland
Lauren McCullagh United States
Jin-Seok Lee South Korea
Maria Carmen G. Diaz United States
Tsai‐Ling Liu relative to Charles Christian Adarkwah Germany Charles Christian Adarkwah's profile →
Citations per field
00.5×7.3×
Charles Christian Adarkwah · 1×
Citations per year

Countries citing papers authored by Tsai‐Ling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tsai‐Ling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tsai‐Ling Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tsai‐Ling Liu Line = papers co-authored together Tsai‐Ling Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201756
2 201250
3 201649
4 201944
5 201737
6 202436
7 202434
8 202432
9 201421
10 201715
11 202112
12 202211
13 20228
14 20208
15 20197
16 20237
17 20107
18 20166
19 20036
20 20194

About Tsai‐Ling Liu

Tsai‐Ling Liu is a scholar working on General Health Professions, Oncology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Health Information Management, having authored 29 papers that have together received 464 indexed citations. Recurring topics across this work include Electronic Health Records Systems (3 papers), Global Maternal and Child Health (3 papers), Patient-Provider Communication in Healthcare (3 papers), Head and Neck Cancer Studies (2 papers), Machine Learning in Healthcare (2 papers), Healthcare Policy and Management (2 papers), Digital Marketing and Social Media (2 papers) and Advanced Optical Network Technologies (2 papers). The work is most often cited by research in Health Informatics (44 citations), Applied Microbiology and Biotechnology (44 citations), Hepatology (38 citations), Otorhinolaryngology (16 citations) and Health Information Management (16 citations). Tsai‐Ling Liu has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Yhenneko J. Taylor, Elizabeth A. Howell, Nicole Huang, Yiing‐Jenq Chou, Timothy Hetherington, Ajay Dharod, A. Sidney Barritt, Bruce J. Fried, Andrew McWilliams and Morris Weinberger. Their work appears in journals such as Journal of Asthma, Sustainability, Journal of Clinical Oncology, International Journal for Quality in Health Care and JAMA Otolaryngology–Head & Neck Surgery.

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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