Yan Daniel Zhao

4.9k citations
127 papers · 3.9k · h-index 31

Impact in

    • Systemic Lupus Erythematosus Research
    • Pelvic floor disorders treatments
    • Moyamoya disease diagnosis and treatment
    • Nanoparticle-Based Drug Delivery

Papers in

Yan Daniel Zhao

117 papers receiving 3.8k citations

Peers

Yan Daniel Zhao
Comparison fields: 5 of 104
  • Rheumatology 382
  • Biomaterials 222
  • Molecular Biology 942
  • Cancer Research 189
  • Drug Discovery 1
Replace Jie Tang with:
Jie Tang China
Barton A. Kamen United States
Chia‐Yu Chu Taiwan
Berta Sáez Spain
John G. Kuhn United States
Hannah A. Blair New Zealand
Young Mo Kang South Korea
Elizabeth Fox United States
Arnt V. Kristen Germany
Cindy H. Chau United States
Yan Daniel Zhao relative to Jie Tang China Jie Tang's profile →
Citations per field
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Jie Tang · 1×
Citations per year

Countries citing papers authored by Yan Daniel Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yan Daniel Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Daniel Zhao. 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 Yan Daniel Zhao. The network helps show where Yan Daniel Zhao may publish in the future.

Co-authors

The 25 scholars most cited alongside Yan Daniel Zhao, 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 Yan Daniel Zhao Line = papers co-authored together Yan Daniel Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016504
2 2011301
3 2016218
4 2016177
5 2017163
6 2005128
7 2017125
8 2017116
9 201797
10 201895
11 201691
12 201688
13 201178
14 201777
15 200373
16 201564
17 201663
18 201763
19 201862
20 202357

About Yan Daniel Zhao

Yan Daniel Zhao is a scholar working on Statistics and Probability, Rheumatology, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 127 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), Pelvic floor disorders treatments (6 papers), Extracellular vesicles in disease (5 papers), Statistical Methods and Bayesian Inference (4 papers), RNA Interference and Gene Delivery (4 papers), Prostate Cancer Treatment and Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Peripheral Artery Disease Management (3 papers). The work is most often cited by research in Rheumatology (382 citations), Biomaterials (222 citations), Molecular Biology (942 citations), Cancer Research (189 citations) and Drug Discovery (1 citation). Yan Daniel Zhao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rajagopal Ramesh, Anupama Munshi, Wei‐Qun Ding, Bethany N. Hannafon, Allshine Chen, Ranganayaki Muralidharan, Narsireddy Amreddy, Akhil Srivastava, Anish Babu and William Chesnut Dooley. Their work appears in journals such as Cancers, Journal of Biopharmaceutical Statistics, Scientific Reports, Statistics in Medicine and World Neurosurgery.

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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