Naili Liu

1.7k total citations
45 papers, 1.2k citations indexed

About

Naili Liu is a scholar working on Molecular Biology, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Naili Liu has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Physiology and 9 papers in Endocrine and Autonomic Systems. Recurrent topics in Naili Liu's work include Adipose Tissue and Metabolism (9 papers), HER2/EGFR in Cancer Research (8 papers) and Adenosine and Purinergic Signaling (5 papers). Naili Liu is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), HER2/EGFR in Cancer Research (8 papers) and Adenosine and Purinergic Signaling (5 papers). Naili Liu collaborates with scholars based in United States, China and Israel. Naili Liu's co-authors include Duanzhi Wen, Oksana Gavrilova, Marc L. Reitman, Cuiying Xiao, Sergei Sukharev, Andriy Anishkin, David Chang, Ke Zhang, Jilin Sun and Steven K. Yoshinaga and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Naili Liu

43 papers receiving 1.2k citations

Peers

Naili Liu
Comparison fields: 5 of 105
  • Molecular Biology 712
  • Oncology 459
  • Radiology, Nuclear Medicine and Imaging 281
  • Physiology 249
  • Cellular and Molecular Neuroscience 135
Replace Alexandra King with:
Alexandra King United States
Ruth M. Seeber Australia
Antrix Jain United States
Warren Heston United States
Zhi-jie Jey Cheng United States
Maria L. Freilino United States
Jeffrey M. Sundstrom United States
Keri Tate United States
Christopher H. Thompson United States
Mikel Garcia‐Marcos United States
Alexandra King United States View profile →
Citations per field, relative to Naili Liu
Naili Liu · 1×
Citations per year, relative to Naili Liu
Naili Liu · 1×

Countries citing papers authored by Naili Liu

Since Specialization
Citations

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

Fields of papers citing papers by Naili Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naili Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Naili Liu. A scholar is included among the top collaborators of Naili 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 Naili Liu. Naili 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 1
2 2
3 14
4 0
5 3
6 8
7 4
8 2
9 6
10 102
11 42
12 3
13
Research of Improved Apriori Algorithm Based on Itemset Array
4
14 58
15 81
16
Efficient algorithm for rapidly mining valid and non-redundant rules
2
17 7
18 51
19 38
20 202

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026