Daohai Yu

7.7k total citations
175 papers, 5.5k citations indexed

About

Daohai Yu is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daohai Yu has authored 175 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 27 papers in Oncology and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daohai Yu's work include Acute Myeloid Leukemia Research (13 papers), Ultrasound and Hyperthermia Applications (9 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Daohai Yu is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Ultrasound and Hyperthermia Applications (9 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Daohai Yu collaborates with scholars based in United States, China and Canada. Daohai Yu's co-authors include Mark W. Dewhirst, Thaddeus V. Samulski, Željko Vujašković, Linda Sanders, Ellen L. Jones, Leonard R. Prosnitz, Jeffrey S. Weber, James R. Oleson, Wenshi Wang and Weiwei Zhu and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Daohai Yu

162 papers receiving 5.4k citations

Peers

Daohai Yu
Comparison fields: 5 of 156
  • Molecular Biology 1.4k
  • Oncology 1.4k
  • Biomedical Engineering 1.0k
  • Radiology, Nuclear Medicine and Imaging 750
  • Immunology 704
Replace Jie Chen with:
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Angela N. Giaquinto United States
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Jie Chen China View profile →
Citations per field, relative to Daohai Yu
Daohai Yu · 1×
Citations per year, relative to Daohai Yu
Daohai Yu · 1×

Countries citing papers authored by Daohai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Daohai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daohai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Daohai Yu. A scholar is included among the top collaborators of Daohai Yu 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 Daohai Yu. Daohai Yu 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 0
2 0
3 3
4 12
5 2
6 7
7 24
8
Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study
3
9 2
10 8
11 19
12
A comparison of artificial intelligence and human diabetic retinal image interpretation in an urban health system.
1
13 25
14 3
15 9
16 58
17 146
18 6
19 35
20 21

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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2026