Lixin Hong

3.8k citations
19 papers · 1.8k indexed · 2 hit papers · h-index 17
Topics
Hippo pathway signaling and YAP/TAZ (5 papers)Advanced biosensing and bioanalysis techniques (3 papers)Telomeres, Telomerase, and Senescence (3 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Lixin Hong

19 papers receiving 1.8k citations

Hit Papers

CD36 facilitates fatty acid uptake by dynamic palmitoylat...20202026202220242020202150100150200250

Peers

Lixin Hong
Comparison fields: 5 of 109
  • Molecular Biology 1.1k
  • Immunology 363
  • Cancer Research 351
  • Cell Biology 341
  • Physiology 294
Replace Yung Joon Yoo with:
Yung Joon Yoo South Korea
Victor Shifrin United States
Saori Sato Japan
Jiefei Geng United States
Alan S. Jonason United States
Maria Perander Norway
Ana Alonso‐Llamazares Spain
Lazaros C. Foukas United Kingdom
Vangelis Kondylis Germany
Brian Magnuson United States
Lixin Hong relative to Yung Joon Yoo South Korea Yung Joon Yoo's profile →
Citations per field
00.5×
Yung Joon Yoo · 1×
Citations per year

Countries citing papers authored by Lixin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Lixin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Lixin Hong. A scholar is included among the top collaborators of Lixin Hong 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 Lixin Hong. Lixin Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1
TLR4 signalling via Piezo1 engages and enhances the macrophage mediated host response during bacterial infectionbreakdown →
182
2
CD36 facilitates fatty acid uptake by dynamic palmitoylation-regulated endocytosisbreakdown →
292
3 14
4 193
5 93
6 43
7 14
8 171
9 120
10 16
11 97
12 38
13 99
14 59
15 126
16 19
17 130
18 65
19 32

About Lixin Hong

Lixin Hong is a scholar working on Cell Biology, Biochemistry and Molecular Biology, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Aging (46 citations), Cancer Research (351 citations) and Cell Biology (341 citations). Lixin Hong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Changchuan Xie, Jiahuai Han, Lanfen Chen, Dawang Zhou, Peiqing Sun, Rong Liao, Jing Geng, Yiran Shi, Young Jun Kang and Xun Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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