Daniel Zhao
Impact in
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- Digital Transformation in Industry
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- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 2
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- Cervical Cancer and HPV Research 2
- Co-authors
- Yingzi Lin (1 shared paper)Jing Du (1 shared paper)Qi Zhu (1 shared paper)Qi Wang (1 shared paper)Yangming Shi (1 shared paper)Raid Aljumaily (2 shared papers)Sami Ibrahimi (1 shared paper)Bilal Khalid (1 shared paper)
- Journals
- Gynecologic Oncology (3 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)World Neurosurgery (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Daniel Zhao
27 papers receiving 261 citations
Peers
Comparison fields: 5 of 107
- Industrial and Manufacturing Engineering 37
- Oncology 55
- Medical Laboratory Technology 3
- Media Technology 16
- Applied Psychology 9
Countries citing papers authored by Daniel Zhao
This map shows the geographic impact of 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 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 Daniel Zhao more than expected).
Fields of papers citing papers by Daniel Zhao
This network shows the impact of papers produced by 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 Daniel Zhao. The network helps show where Daniel Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2018 | 26 | |
| 3 | 2016 | 22 | |
| 4 | 2020 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2019 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 9 | |
| 10 | 2017 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 4 | |
| 16 | [Study on vitamin E succinate inducing apoptosis of human gastric carcinoma cell]. | 2000 | 3 |
| 17 | 2021 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2017 | 2 |
About Daniel Zhao
Daniel Zhao is a scholar working on Oncology, Epidemiology, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 272 indexed citations. Recurring topics across this work include Cancer Research and Treatments (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Genomics and Diagnostics (2 papers), COVID-19 Clinical Research Studies (2 papers), Cervical Cancer and HPV Research (2 papers), Long-Term Effects of COVID-19 (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (37 citations), Oncology (55 citations), Medical Laboratory Technology (3 citations), Media Technology (16 citations) and Applied Psychology (9 citations). Daniel Zhao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yingzi Lin, Jing Du, Qi Zhu, Qi Wang, Yangming Shi, Raid Aljumaily, Sami Ibrahimi, Bilal Khalid, Sarbajit Mukherjee and Pawan Acharya. Their work appears in journals such as Gynecologic Oncology, Clinical Cancer Research, Scientific Reports, World Neurosurgery and Cell Reports.
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.