Dashan Ai

796 citations
23 papers · 330 · h-index 9

Impact in

    • Esophageal Cancer Research and Treatment
    • Esophageal and GI Pathology
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Esophageal Cancer Research and Treatment 17
    • Esophageal and GI Pathology 1
    • Cancer Immunotherapy and Biomarkers 4
    • Inflammatory Biomarkers in Disease Prognosis 2

Dashan Ai

21 papers receiving 326 citations

Peers

Dashan Ai
Comparison fields: 5 of 37
  • Surgery 205
  • Oncology 91
  • Pulmonary and Respiratory Medicine 86
  • Cancer Research 15
  • Gastroenterology 5
Replace He-San Luo with:
He-San Luo China
Youhua Jiang China
Benjamin Miron United States
Bao-Cai Xing Ethiopia
Veronica Pezzella France
Mihoko Yamada Japan
Matthieu Delaye France
Yusheng Han China
Xijia Feng China
Akinori Minato Japan
Dashan Ai relative to He-San Luo China He-San Luo's profile →
Citations per field
00.5×
He-San Luo · 1×
Citations per year

Countries citing papers authored by Dashan Ai

Since Specialization
Citations

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

Fields of papers citing papers by Dashan Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201781
2 202038
3 202236
4 202330
5 202329
6 202126
7 202421
8 201916
9 202311
10 20238
11 20237
12 20226
13 20224
14 20213
15 20233
16 20233
17 20212
18 20222
19 20192
20 20201

About Dashan Ai

Dashan Ai is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Otorhinolaryngology, having authored 23 papers that have together received 330 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (17 papers), Cancer Immunotherapy and Biomarkers (4 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Lung Cancer Treatments and Mutations (2 papers), Single-cell and spatial transcriptomics (1 paper), Head and Neck Cancer Studies (1 paper), Esophageal and GI Pathology (1 paper) and Metastasis and carcinoma case studies (1 paper). The work is most often cited by research in Surgery (205 citations), Oncology (91 citations), Pulmonary and Respiratory Medicine (86 citations), Cancer Research (15 citations) and Gastroenterology (5 citations). Dashan Ai has collaborated with scholars based in China, India and United States. Frequent co-authors include Jiaying Deng, Kuaile Zhao, Jinjun Ye, Yun Chen, Qi Liu, Hanting Zhu, Hongcheng Zhu, Zhengfei Zhu, Shengping Wang and Junqiang Chen. Their work appears in journals such as The Oncologist, Frontiers in Oncology, Radiation Oncology, Frontiers in Public Health and Frontiers in Immunology.

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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