Daniel A. Hu
Impact in
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- Electrospun Nanofibers in Biomedical Applications
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- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
Papers in
- Surgery 6
- Tissue Engineering and Regenerative Medicine 2
- Total Knee Arthroplasty Outcomes 2
- Shoulder Injury and Treatment 2
- Cardiovascular Syncope and Autonomic Disorders 1
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- 3D Printing in Biomedical Research 2
- Lower Extremity Biomechanics and Pathologies 1
- Co-authors
- Vahid Serpooshan (2 shared papers)Sean M. Wu (2 shared papers)Morteza Mahmoudi (1 shared paper)Haodi Wu (1 shared paper)Sneha Venkatraman (1 shared paper)Adarsh Ganesan (1 shared paper)Fan Yang (1 shared paper)Arun Sharma (1 shared paper)
- Journals
- Genes & Diseases (2 papers)Biomaterials (1 paper)Scientific Reports (1 paper)Journal of Racial and Ethnic Health Disparities (1 paper)Arthroplasty Today (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daniel A. Hu
11 papers receiving 273 citations
Peers
Comparison fields: 5 of 68
- Biomaterials 43
- Biomedical Engineering 132
- Automotive Engineering 33
- Surgery 95
- Health Informatics 2
Countries citing papers authored by Daniel A. Hu
This map shows the geographic impact of Daniel A. Hu'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 A. Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Hu more than expected).
Fields of papers citing papers by Daniel A. Hu
This network shows the impact of papers produced by Daniel A. Hu. 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 A. Hu. The network helps show where Daniel A. Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 97 | |
| 2 | 2022 | 48 | |
| 3 | 2017 | 44 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 25 | |
| 6 | 2022 | 7 | |
| 7 | 2020 | 7 | |
| 8 | Identification of a prognostic signature based on copy number variations (CNVs) and CNV-modulated gene expression in acute myeloid leukemia. | 2021 | 7 |
| 9 | 2021 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 |
About Daniel A. Hu
Daniel A. Hu is a scholar working on Surgery, Biomedical Engineering, Molecular Biology, Automotive Engineering and Pathology and Forensic Medicine, having authored 11 papers that have together received 276 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Shoulder Injury and Treatment (2 papers), 3D Printing in Biomedical Research (2 papers), Cardiovascular Syncope and Autonomic Disorders (1 paper), Lower Extremity Biomechanics and Pathologies (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Biomaterials (43 citations), Biomedical Engineering (132 citations), Automotive Engineering (33 citations), Surgery (95 citations) and Health Informatics (2 citations). Daniel A. Hu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Vahid Serpooshan, Sean M. Wu, Morteza Mahmoudi, Haodi Wu, Sneha Venkatraman, Adarsh Ganesan, Fan Yang, Arun Sharma, Soah Lee and Martin L. Yarmush. Their work appears in journals such as Genes & Diseases, Biomaterials, Scientific Reports, Journal of Racial and Ethnic Health Disparities and Arthroplasty Today.
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.