Enyong Dai

4.0k citations
31 papers · 2.9k indexed · 4 hit papers · h-index 21
Topics
Ferroptosis and cancer prognosis (14 papers)RNA modifications and cancer (11 papers)Virus-based gene therapy research (7 papers)

In The Last Decade

Enyong Dai

30 papers receiving 2.9k citations

Hit Papers

Autophagy-dependent ferroptosis drives tumor-associated m...20182026202020232020201820202024100200300400

Peers

Enyong Dai
Comparison fields: 5 of 93
  • Molecular Biology 1.7k
  • Pulmonary and Respiratory Medicine 1.5k
  • Cancer Research 1.1k
  • Oncology 830
  • Immunology 578
Replace Maite G. Fernández‐Barrena with:
Maite G. Fernández‐Barrena Spain
Xinhui Wang United States
Hiroyuki Kitao Japan
Martin W. LaFleur United States
Richard L. Blosser United States
Neethan A. Lobo United States
Ines Gütgemann Germany
Yu‐Ting Chou Taiwan
He Zhou China
Shinya Sugimoto Japan
Enyong Dai relative to Maite G. Fernández‐Barrena Spain Maite G. Fernández‐Barrena's profile →
Citations per field
00.5×7.5×
Maite G. Fernández‐Barrena · 1×
Citations per year

Countries citing papers authored by Enyong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Enyong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enyong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Enyong Dai. A scholar is included among the top collaborators of Enyong 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 Enyong Dai. Enyong 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
#WorkIndexed citations
1 3
2 4
3 10
4
Ferroptotic therapy in cancer: benefits, side effects, and risksbreakdown →
54
5 34
6 89
7 18
8 26
9 21
10 44
11 2
12 29
13
Ferroptotic damage promotes pancreatic tumorigenesis through a TMEM173/STING-dependent DNA sensor pathwaybreakdown →
316
14 40
15 45
16 234
17 20
18
Lipid storage and lipophagy regulates ferroptosisbreakdown →
389
19 197
20 118

About Enyong Dai

Enyong Dai is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (14 papers), RNA modifications and cancer (11 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Cancer Research (1.1k citations), Pulmonary and Respiratory Medicine (1.5k citations) and Oncology (830 citations). Enyong Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Rui Kang, Daolin Tang, Leng Han, Yangchun Xie, Herbert J. Zeh, Lingjun Meng, Zong Sheng Guo, Yuansong Bai, Yuanyuan Jia and Huan Gao. Their work appears in journals such as Nature Communications, PLoS ONE 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.

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