Xin Liang

3.3k citations
112 papers · 2.5k indexed · 1 hit paper · h-index 24

Xin Liang

104 papers receiving 2.5k citations

Hit Papers

Photothermal cancer immunotherapy by erythrocyte membrane...3582019202620212023100200300

Peers

Xin Liang
Comparison fields: 5 of 137
  • Biomaterials 492
  • Biomedical Engineering 959
  • Immunology 407
  • Cell Biology 287
  • Molecular Biology 993
Replace Kazunori Ishimura with:
Kazunori Ishimura Japan
Andrius Masedunskas United States
Shun’ichi Kuroda Japan
Sarah F. Hamm‐Alvarez United States
Rihe Liu United States
Guoqiang Xu China
Gustavo Helguera United States
Yoshinobu Manome Japan
Hongxia Zhao China
Dražen Raucher United States
Xin Liang relative to Kazunori Ishimura Japan Kazunori Ishimura's profile →
Citations per field
00.5×9.7×
Kazunori Ishimura · 1×
Citations per year

Countries citing papers authored by Xin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xin Liang, 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 Xin Liang Line = papers co-authored together Xin Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 202410
3 20244
4 20243
5 202419
6 20233
7 20232
8 20231
9 202319
10 202212
11 202215
12 202211
13 202118
14 202119
15 202022
16 202016
17 201925
18 201911
19 20161
20
Effects of auricular acupuncture and moxibustion on serum melatonin content and melatonin circadian rhythmicity in the D-galactose-induced aging rat
20041

About Xin Liang

Xin Liang is a scholar working on Cell Biology, Physiology and Critical Care and Intensive Care Medicine, having authored 112 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (20 papers), Nanoplatforms for cancer theranostics (12 papers), Ubiquitin and proteasome pathways (10 papers), Ion channel regulation and function (10 papers), Immunotherapy and Immune Responses (10 papers), Neurobiology and Insect Physiology Research (9 papers), Autophagy in Disease and Therapy (9 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Biomaterials (492 citations), Biomedical Engineering (959 citations) and Immunology (407 citations). Xin Liang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lin Mei, Xudong Zhang, Xinyu Ye, Xiuli Chen, Xu Dong Zhang, Jonathon Howard, Xiaowei Zeng, Chenyang Xing, Qian Chen and Jinxie Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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