Chad Sanada
Impact in
- Hematology top 10%
- Hemophilia Treatment and Research
- Platelet Disorders and Treatments
- Hematopoietic Stem Cell Transplantation
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- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- Single-cell and spatial transcriptomics 6
- Hematology 10
- Hemophilia Treatment and Research 4
- Platelet Disorders and Treatments 4
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Diane S. Krause (5 shared papers)Graça Almeida‐Porada (8 shared papers)Christopher D. Porada (8 shared papers)Esmail D. Zanjani (6 shared papers)Juliana Xavier-Ferrucio (2 shared papers)Pingxia Zhang (4 shared papers)Yi-Chien Lu (2 shared papers)Evan Colletti (4 shared papers)
- Journals
- Blood (8 papers)Cancer Research (3 papers)Experimental Hematology (2 papers)Communications Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Chad Sanada
20 papers receiving 296 citations
Peers
Comparison fields: 5 of 45
- Hematology 126
- Genetics 61
- Immunology 41
- Molecular Biology 137
- Oncology 46
Countries citing papers authored by Chad Sanada
This map shows the geographic impact of Chad Sanada'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 Chad Sanada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Sanada more than expected).
Fields of papers citing papers by Chad Sanada
This network shows the impact of papers produced by Chad Sanada. 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 Chad Sanada. The network helps show where Chad Sanada may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Sanada, 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 | 2018 | 62 | |
| 2 | 2011 | 52 | |
| 3 | 2016 | 47 | |
| 4 | 2015 | 26 | |
| 5 | 2012 | 26 | |
| 6 | 2017 | 23 | |
| 7 | 2008 | 20 | |
| 8 | 2021 | 10 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2008 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2010 | 3 | |
| 15 | 2007 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2014 | 1 |
About Chad Sanada
Chad Sanada is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Oncology, having authored 20 papers that have together received 299 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Hemophilia Treatment and Research (4 papers), Platelet Disorders and Treatments (4 papers), Cancer Cells and Metastasis (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Cancer Genomics and Diagnostics (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (126 citations), Genetics (61 citations), Immunology (41 citations), Molecular Biology (137 citations) and Oncology (46 citations). Chad Sanada has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Diane S. Krause, Graça Almeida‐Porada, Christopher D. Porada, Esmail D. Zanjani, Juliana Xavier-Ferrucio, Pingxia Zhang, Yi-Chien Lu, Evan Colletti, Meenakshi Venkatasubramanian and Bruce J. Aronow. Their work appears in journals such as Blood, Cancer Research, Experimental Hematology, Communications Biology and Cell Reports.
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.