Daniel A. Hu
Impact in
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- Additive Manufacturing and 3D Printing Technologies
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- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
Papers in
- Surgery 6
- Tissue Engineering and Regenerative Medicine 3
- Shoulder Injury and Treatment 2
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- 3D Printing in Biomedical Research 3
- Co-authors
- Sean M. Wu (3 shared papers)Vahid Serpooshan (3 shared papers)James B. Hu (3 shared papers)Morteza Mahmoudi (2 shared papers)Arun Sharma (1 shared paper)Martin L. Yarmush (1 shared paper)Adarsh Ganesan (1 shared paper)Pu Chen (1 shared paper)
- Journals
- Genes & Diseases (2 papers)Biomaterials (1 paper)Scientific Reports (1 paper)Arthroplasty Today (1 paper)Journal of Racial and Ethnic Health Disparities (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Daniel A. Hu
12 papers receiving 329 citations
Peers
Comparison fields: 5 of 62
- Automotive Engineering 50
- Biomedical Engineering 162
- Biomaterials 48
- Surgery 111
- Orthopedics and Sports Medicine 10
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 | 108 | |
| 2 | 2022 | 56 | |
| 3 | 2017 | 54 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 28 | |
| 6 | 2018 | 18 | |
| 7 | 2020 | 8 | |
| 8 | Identification of a prognostic signature based on copy number variations (CNVs) and CNV-modulated gene expression in acute myeloid leukemia. | 2021 | 7 |
| 9 | 2022 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 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 12 papers that have together received 331 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Shoulder Injury and Treatment (2 papers), Acute Myeloid Leukemia Research (1 paper), Neuroscience and Neural Engineering (1 paper), Medical Education and Admissions (1 paper), Immunotherapy and Immune Responses (1 paper) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Automotive Engineering (50 citations), Biomedical Engineering (162 citations), Biomaterials (48 citations), Surgery (111 citations) and Orthopedics and Sports Medicine (10 citations). Daniel A. Hu has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Sean M. Wu, Vahid Serpooshan, James B. Hu, Morteza Mahmoudi, Arun Sharma, Martin L. Yarmush, Adarsh Ganesan, Pu Chen, O. Berk Usta and Sneha Venkatraman. Their work appears in journals such as Genes & Diseases, Biomaterials, Scientific Reports, Arthroplasty Today and Journal of Racial and Ethnic Health Disparities.
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.