Dao Xin

515 citations
21 papers · 260 · h-index 7

Impact in

    • Bioactive Compounds and Antitumor Agents
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • RNA modifications and cancer 2
    • Angiogenesis and VEGF in Cancer 1
    • Epigenetics and DNA Methylation 1
    • Cancer Immunotherapy and Biomarkers 2
    • HER2/EGFR in Cancer Research 1

Dao Xin

18 papers receiving 255 citations

Peers

Dao Xin
Comparison fields: 5 of 52
  • Toxicology 14
  • Oncology 63
  • Pharmacology 18
  • Molecular Biology 126
  • Cancer Research 23
Replace Miaomiao Ge with:
Miaomiao Ge China
Tu-Liang Liang China
Mark I. James United Kingdom
Win Lwin Thuya Singapore
Si Hyoung Kim South Korea
Haiyan Ma China
Shi-Wei Chao Taiwan
Neli Hevir Slovenia
Genhai Shen China
Zhanyu Pan China
Dao Xin relative to Miaomiao Ge China Miaomiao Ge's profile →
Citations per field
00.5×
Miaomiao Ge · 1×
Citations per year

Countries citing papers authored by Dao Xin

Since Specialization
Citations

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

Fields of papers citing papers by Dao Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009121
2 201933
3 202123
4 202213
5 202211
6 200511
7 20187
8 20236
9 20245
10 20235
11 20215
12 20245
13 20244
14 20233
15 20223
16 20213
17 20181
18 20241
19 20260
20 20250

About Dao Xin

Dao Xin is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 21 papers that have together received 260 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA modifications and cancer (2 papers), Esophageal Cancer Research and Treatment (2 papers), HER2/EGFR in Cancer Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Epigenetics and DNA Methylation (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Toxicology (14 citations), Oncology (63 citations), Pharmacology (18 citations), Molecular Biology (126 citations) and Cancer Research (23 citations). Dao Xin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Guanwei Fan, Xiu Gao, Yan Zhu, Feng Wang, Yao Lu, Feng Wang, Lulu Guan, Yuanyuan Yang, Li Wang and Yu Chen. Their work appears in journals such as Diseases of the Esophagus, Frontiers in Molecular Biosciences, OncoTargets and Therapy, Recent Patents on Anti-Cancer Drug Discovery and Journal of Inflammation Research.

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