Min Dai

8.6k total citations · 2 hit papers
220 papers, 5.0k citations indexed

About

Min Dai is a scholar working on Oncology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Min Dai has authored 220 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Oncology, 60 papers in Epidemiology and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Min Dai's work include Colorectal Cancer Screening and Detection (43 papers), Global Cancer Incidence and Screening (36 papers) and Cervical Cancer and HPV Research (23 papers). Min Dai is often cited by papers focused on Colorectal Cancer Screening and Detection (43 papers), Global Cancer Incidence and Screening (36 papers) and Cervical Cancer and HPV Research (23 papers). Min Dai collaborates with scholars based in China, United States and France. Min Dai's co-authors include Ni Li, Hongda Chen, Bin Lu, Ming Lu, Yuhan Zhang, Jie Cai, Jiansong Ren, Silvia Franceschi, Jufang Shi and Tongzhang Zheng and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Min Dai

201 papers receiving 4.9k citations

Hit Papers

Advances in the epidemiology of pancreatic cancer: Trends... 2021 2026 2022 2024 2021 2021 50 100 150 200 250

Peers

Min Dai
Comparison fields: 5 of 161
  • Epidemiology 1.6k
  • Oncology 1.5k
  • Molecular Biology 1.2k
  • Surgery 928
  • Cancer Research 781
Replace Li Su with:
Li Su China
Elizabeth A. Holly United States
Zhenqiu Liu China
Laufey Tryggvadóttír Iceland
John K. Olynyk Australia
Gang Xu China
Christopher A. Loffredo United States
Joost Weyler Belgium
Roberto Zanetti Italy
Ettore Bidoli Italy
Li Su China View profile →
Citations per field, relative to Min Dai
Min Dai · 1×
Citations per year, relative to Min Dai
Min Dai · 1×

Countries citing papers authored by Min Dai

Since Specialization
Citations

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

Fields of papers citing papers by Min Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Min Dai. A scholar is included among the top collaborators of Min Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min Dai. Min Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 4
5 10
6 213
7 2
8 8
9 1
10 2
11 3
12 1
13 2
14 7
15 1
16
[Liver cancer incidence and mortality data set in China].
5
17
[Syphilis infection and its high risk factors among men who have sex with men by different recruitment channels].
2
18
[Burden of colorectal cancer in China].
38
19
[Reasearch progress in health economic evaluation of colorectal cancer screening in China].
0
20 108

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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