Mikhail Pakvasa
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Bone Tissue Engineering Materials
Papers in
- Surgery 5
- Orthopedic Surgery and Rehabilitation 2
-
- TGF-β signaling in diseases 2
- Hedgehog Signaling Pathway Studies 2
- Co-authors
- Russell R. Reid (8 shared papers)Guillermo A. Ameer (3 shared papers)Tong‐Chuan He (4 shared papers)Sami Mostafa (3 shared papers)Jennifer Moriatis Wolf (3 shared papers)Elliot S. Bishop (1 shared paper)Michael J. Lee (1 shared paper)Hue H. Luu (1 shared paper)
- Journals
- Genes & Diseases (3 papers)Brain Communications (1 paper)Medicine (1 paper)Plastic & Reconstructive Surgery (1 paper)Brain (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Mikhail Pakvasa
15 papers receiving 740 citations
Mikhail Pakvasa's Hit Papers
Peers
Comparison fields: 5 of 99
- Automotive Engineering 233
- Biomedical Engineering 424
- Biomaterials 95
- Cognitive Neuroscience 138
- Psychiatry and Mental health 60
Countries citing papers authored by Mikhail Pakvasa
This map shows the geographic impact of Mikhail Pakvasa'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 Mikhail Pakvasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Pakvasa more than expected).
Fields of papers citing papers by Mikhail Pakvasa
This network shows the impact of papers produced by Mikhail Pakvasa. 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 Mikhail Pakvasa. The network helps show where Mikhail Pakvasa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail Pakvasa, 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 | 3-D bioprinting technologies in tissue engineering and regenerative medicine: Current and future trends Hit paper breakdown → | 2017 | 489 |
| 2 | 2016 | 96 | |
| 3 | 2016 | 89 | |
| 4 | 2020 | 25 | |
| 5 | 2017 | 22 | |
| 6 | 2019 | 13 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2022 | 0 |
About Mikhail Pakvasa
Mikhail Pakvasa is a scholar working on Surgery, Molecular Biology, General Health Professions, Cognitive Neuroscience and Biomedical Engineering, having authored 19 papers that have together received 752 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (3 papers), TGF-β signaling in diseases (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Epilepsy research and treatment (2 papers), Orthopedic Surgery and Rehabilitation (2 papers), Body Image and Dysmorphia Studies (2 papers), COVID-19 and healthcare impacts (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Automotive Engineering (233 citations), Biomedical Engineering (424 citations), Biomaterials (95 citations), Cognitive Neuroscience (138 citations) and Psychiatry and Mental health (60 citations). Mikhail Pakvasa has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Russell R. Reid, Guillermo A. Ameer, Tong‐Chuan He, Sami Mostafa, Jennifer Moriatis Wolf, Elliot S. Bishop, Michael J. Lee, Hue H. Luu, Maria Luisa Mandelli and Bruce L. Miller. Their work appears in journals such as Genes & Diseases, Brain Communications, Medicine, Plastic & Reconstructive Surgery and Brain.
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.