Dashan Ai

834 citations
30 papers · 543 · h-index 11

Impact in

  • Surgery top 10%
    • Esophageal Cancer Research and Treatment
    • Esophageal and GI Pathology
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Esophageal Cancer Research and Treatment 20
    • Cancer Immunotherapy and Biomarkers 5
    • Inflammatory Biomarkers in Disease Prognosis 2

Dashan Ai

26 papers receiving 536 citations

Peers

Dashan Ai
Comparison fields: 5 of 41
  • Surgery 331
  • Oncology 138
  • Pulmonary and Respiratory Medicine 129
  • Cancer Research 36
  • Gastroenterology 6
Replace Erienne M.V. de Cuba with:
Erienne M.V. de Cuba Netherlands
Naomi Horiba United States
Jun Bie China
D. Cascallar Argentina
D. Castellano Gauna Spain
Lina Zhao China
Daniel Kejzman United States
Ya‐min Pan China
Denis Pezet France
Dashan Ai relative to Erienne M.V. de Cuba Netherlands Erienne M.V. de Cuba's profile →
Citations per field
00.5×2×3×4×
Erienne M.V. de Cuba · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 201785
3 202251
4 202049
5 202349
6 202238
7 202337
8 202129
9 202424
10 201917
11 202311
12 202310
13 20238
14 20187
15 20227
16 20226
17 20225
18 20255
19 20234
20 20213

About Dashan Ai

Dashan Ai is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Hepatology and Immunology, having authored 30 papers that have together received 543 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (20 papers), Cancer Immunotherapy and Biomarkers (5 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), RNA modifications and cancer (1 paper), Metastasis and carcinoma case studies (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Surgery (331 citations), Oncology (138 citations), Pulmonary and Respiratory Medicine (129 citations), Cancer Research (36 citations) and Gastroenterology (6 citations). Dashan Ai has collaborated with scholars based in China, United States and France. Frequent co-authors include Jiaying Deng, Kuaile Zhao, Jinjun Ye, Yun Chen, Qi Liu, Hanting Zhu, Hongcheng Zhu, Zhengfei Zhu, Junqiang Chen and Shengping Wang. Their work appears in journals such as Radiation Oncology, Frontiers in Oncology, The Oncologist, Future Oncology and Radiation 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.

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