Debiao Li

902 citations
23 papers · 642 indexed · 1 hit paper · h-index 10
Topics
Advanced MRI Techniques and Applications (16 papers)Advanced Neuroimaging Techniques and Applications (9 papers)MRI in cancer diagnosis (7 papers)

In The Last Decade

Debiao Li

22 papers receiving 634 citations

Hit Papers

Early detection of pancreatic cancer20202026202220242020100200300

Peers

Debiao Li
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 256
  • Oncology 217
  • Molecular Biology 125
  • Cancer Research 112
  • Surgery 96
Replace Wei‐Hsin Lin with:
Wei‐Hsin Lin Taiwan
Lucia Baratto United States
Paul N. Staats United States
Janet OʼSullivan Ireland
Sola Adeleke United Kingdom
Xia Yang China
Otto Ettala Finland
Tianyi Qian China
Debiao Li relative to Wei‐Hsin Lin Taiwan Wei‐Hsin Lin's profile →
Citations per field
00.5×1.5×2.1×
Wei‐Hsin Lin · 1×
Citations per year

Countries citing papers authored by Debiao Li

Since Specialization
Citations

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

Fields of papers citing papers by Debiao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debiao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Debiao Li. A scholar is included among the top collaborators of Debiao Li 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 Debiao Li. Debiao Li 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 1
2 1
3 1
4 1
5 1
6 1
7 1
8 2
9 3
10
Early detection of pancreatic cancerbreakdown →
323
11 70
12 0
13 11
14 17
15 26
16 10
17 41
18 1
19 90
20 27

About Debiao Li

Debiao Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Transplantation, having authored 23 papers that have together received 642 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (16 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and MRI in cancer diagnosis (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (256 citations), Oncology (217 citations) and Cancer Research (112 citations). Debiao Li has collaborated with scholars based in United States, South Korea and Mexico. Frequent co-authors include Christopher Nguyen, William Greenhalf, Christopher V. Almario, Eugene J. Koay, Anne Marie Lennon, Eithne Costello, Phil A. Hart, Lucy Oldfield, Christie Y. Jeon and Christopher Halloran. Their work appears in journals such as Journal of the American College of Cardiology, Scientific Reports and Magnetic Resonance in Medicine.

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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