Biju Parekkadan
- Genetics top 0.2%
- Mesenchymal stem cell research 33
- Virus-based gene therapy research 8
- Hepatology top 1%
- Surgery top 2%
- Tissue Engineering and Regenerative Medicine 16
- Biomaterials top 5%
- Cancer Research top 5%
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- 3D Printing in Biomedical Research 17
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- CAR-T cell therapy research 11
- Cancer Cells and Metastasis 9
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- CRISPR and Genetic Engineering 9
- Viral Infectious Diseases and Gene Expression in Insects 7
- Co-authors
- Martin L. YarmushJack M. MilwidArno W. TillesDaan van PollFrançois BerthiaumeNaoya KobayashiHiroshi YagiAlejandro Soto–Gutiérrez
- Cited by
- GeneticsHepatologySurgery
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Biju Parekkadan
82 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Genetics 2.1k
- Hepatology 568
- Surgery 1.5k
- Biomaterials 311
- Cancer Research 340
Countries citing papers authored by Biju Parekkadan
This map shows the geographic impact of Biju Parekkadan'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 Biju Parekkadan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biju Parekkadan more than expected).
Fields of papers citing papers by Biju Parekkadan
This network shows the impact of papers produced by Biju Parekkadan. 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 Biju Parekkadan. The network helps show where Biju Parekkadan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Biju Parekkadan, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 132 | |
| 15 | 2016 | 12 | |
| 16 | 2014 | 51 | |
| 17 | 2014 | 28 | |
| 18 | 2014 | 12 | |
| 19 | 2014 | 101 | |
| 20 | 2007 | 432 |
About Biju Parekkadan
Biju Parekkadan is a scholar working on Genetics, Oncology and Immunology, having authored 85 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (33 papers), 3D Printing in Biomedical Research (17 papers), Tissue Engineering and Regenerative Medicine (16 papers), CAR-T cell therapy research (11 papers), Cancer Cells and Metastasis (9 papers), CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). The work is most often cited by research in Genetics (2.1k citations), Hepatology (568 citations) and Surgery (1.5k citations). Biju Parekkadan has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Martin L. Yarmush, Jack M. Milwid, Arno W. Tilles, Daan van Poll, François Berthiaume, Naoya Kobayashi, Hiroshi Yagi, Alejandro Soto–Gutiérrez, Ronald G. Tompkins and Yuko Kitagawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.