Danqing Xin

1.6k citations
36 papers · 1.3k · h-index 21

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • MicroRNA in disease regulation

Papers in

Danqing Xin

36 papers receiving 1.2k citations

Peers

Danqing Xin
Comparison fields: 5 of 95
  • Neurology 170
  • Cancer Research 271
  • Developmental Neuroscience 65
  • Genetics 134
  • Biochemistry 82
Replace Xili Chu with:
Xili Chu China
Chuanzhu Yan China
Ye Wu China
Ewa Matyja Poland
Fenzan Wu China
Sae‐Won Lee South Korea
Liansheng Gao China
Shu Han China
Yucong Peng China
Danqing Xin relative to Xili Chu China Xili Chu's profile →
Citations per field
00.5×11×
Xili Chu · 1×
Citations per year

Countries citing papers authored by Danqing Xin

Since Specialization
Citations

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

Fields of papers citing papers by Danqing Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019183
2 201993
3 202082
4 201971
5 201967
6 202065
7 202050
8 202247
9 201743
10 202042
11 201840
12 202039
13 201938
14 202038
15 201938
16 201737
17 201935
18 202029
19 201727
20 202226

About Danqing Xin

Danqing Xin is a scholar working on Molecular Biology, Biochemistry, Neurology, Rheumatology and Cancer Research, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (12 papers), Sulfur Compounds in Biology (7 papers), MicroRNA in disease regulation (6 papers), Bone and Dental Protein Studies (4 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience of respiration and sleep (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Neurology (170 citations), Cancer Research (271 citations), Developmental Neuroscience (65 citations), Genetics (134 citations) and Biochemistry (82 citations). Danqing Xin has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Zhen Wang, Xili Chu, Dexiang Liu, Hongfei Ke, Hao Xue, Tingting Li, Tingting Li, Xin Zhou, Hongtao Yuan and Xuemei Bai. Their work appears in journals such as Biomedicine & Pharmacotherapy, Drug Design Development and Therapy, Acta Pharmacologica Sinica, Journal of Controlled Release and Biochemical and Biophysical Research 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.

Explore authors with similar magnitude of impact