Nan Liu

15.4k total citations · 6 hit papers
577 papers, 10.0k citations indexed

About

Nan Liu is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nan Liu has authored 577 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Artificial Intelligence, 68 papers in Molecular Biology and 65 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nan Liu's work include Emergency and Acute Care Studies (36 papers), Machine Learning in Healthcare (35 papers) and Artificial Intelligence in Healthcare and Education (34 papers). Nan Liu is often cited by papers focused on Emergency and Acute Care Studies (36 papers), Machine Learning in Healthcare (35 papers) and Artificial Intelligence in Healthcare and Education (34 papers). Nan Liu collaborates with scholars based in China, Singapore and United States. Nan Liu's co-authors include Hu‐Chen Liu, Long Liu, Marcus Eng Hock Ong, Zhiping Lin, Han Wang, Jidong Kang, Jiuwen Cao, Zujun Ma, Andrew Fu Wah Ho and Daniel Shu Wei Ting and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Nature Communications.

In The Last Decade

Nan Liu

542 papers receiving 9.8k citations

Hit Papers

Risk evaluation approaches in failure mode and effects an... 2012 2026 2016 2021 2012 2020 2024 2024 2025 200 400 600

Peers

Nan Liu
Comparison fields: 5 of 216
  • Artificial Intelligence 2.2k
  • Molecular Biology 1.1k
  • Epidemiology 978
  • Cardiology and Cardiovascular Medicine 944
  • Emergency Medicine 861
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Citations per field, relative to Nan Liu
Nan Liu · 1×
Citations per year, relative to Nan Liu
Nan Liu · 1×

Countries citing papers authored by Nan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Liu. A scholar is included among the top collaborators of Nan 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 Nan Liu. Nan 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 16
2 1
3 6
4 8
5 17
6 0
7 22
8 7
9 0
10 9
11 4
12 11
13 1
14 14
15
Association of Circulating TXNIP Levels with Fatty Liver in Newly Diagnosed Type 2 Diabetes Mellitus
8
16
Pulmonary and Systemic Toxicity in a Rat Model of Pulmonary Alveolar Proteinosis Induced by Indium-Tin Oxide Nanoparticles
19
17 16
18
The Extent of Therapeutic Central Compartment Neck Dissection in Unilateral cT1N1a or cT2N1a Papillary Thyroid Carcinoma
1
19
PD-L1 Predicts Poor Prognosis in Surgically Resected Limited Stage Small-Cell Lung Cancer
1
20
Selection and Characterization of a Novel DNA Aptamer, Apt-07S Specific to Hepatocellular Carcinoma Cells
1

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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