Daniel Naveed Tavakol
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications 3
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- Mesenchymal stem cell research 8
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research 10
- Biomedical and Engineering Education 3
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- Hematopoietic Stem Cell Transplantation 8
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- Tissue Engineering and Regenerative Medicine 6
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- Cancer Cells and Metastasis 4
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- Radiation Therapy and Dosimetry 3
- Co-authors
- Gordana Vunjak‐NovakovicSharon FleischerPamela L. GraneyKacey Ronaldson-BouchardAlan ChramiecKeith YeagerRoberta I. LockShayn M. Peirce
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Genetics (1 paper)Biomaterials (2 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Daniel Naveed Tavakol
29 papers receiving 580 citations
Peers
Comparison fields: 5 of 85
- Biomaterials 103
- Genetics 78
- Biomedical Engineering 317
- Hematology 51
- Automotive Engineering 47
Countries citing papers authored by Daniel Naveed Tavakol
This map shows the geographic impact of Daniel Naveed Tavakol'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 Naveed Tavakol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Naveed Tavakol more than expected).
Fields of papers citing papers by Daniel Naveed Tavakol
This network shows the impact of papers produced by Daniel Naveed Tavakol. 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 Naveed Tavakol. The network helps show where Daniel Naveed Tavakol may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Naveed Tavakol, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 25 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 43 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 81 | |
| 18 | 2019 | 30 | |
| 19 | 2018 | 3 | |
| 20 | 2017 | 19 |
About Daniel Naveed Tavakol
Daniel Naveed Tavakol is a scholar working on Genetics, Hematology and Rehabilitation, having authored 29 papers that have together received 582 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (10 papers), Mesenchymal stem cell research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Tissue Engineering and Regenerative Medicine (6 papers), Cancer Cells and Metastasis (4 papers), Biomedical and Engineering Education (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Radiation Therapy and Dosimetry (3 papers). The work is most often cited by research in Biomaterials (103 citations), Genetics (78 citations) and Biomedical Engineering (317 citations). Daniel Naveed Tavakol has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Gordana Vunjak‐Novakovic, Sharon Fleischer, Pamela L. Graney, Kacey Ronaldson-Bouchard, Alan Chramiec, Keith Yeager, Roberta I. Lock, Shayn M. Peirce, Josefine Tratwal and Olaia Naveiras. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Biomaterials.
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.