Chad Sanada

1.1k total citations
20 papers, 294 citations indexed

About

Chad Sanada is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Chad Sanada has authored 20 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Hematology and 6 papers in Genetics. Recurrent topics in Chad Sanada's work include Single-cell and spatial transcriptomics (6 papers), Platelet Disorders and Treatments (4 papers) and Cancer Cells and Metastasis (4 papers). Chad Sanada is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Platelet Disorders and Treatments (4 papers) and Cancer Cells and Metastasis (4 papers). Chad Sanada collaborates with scholars based in United States, Australia and Singapore. Chad Sanada's co-authors include Diane S. Krause, Christopher D. Porada, Graça Almeida‐Porada, Esmail D. Zanjani, Juliana Xavier-Ferrucio, Yi-Chien Lu, Pingxia Zhang, Evan Colletti, Bruce J. Aronow and Meenakshi Venkatasubramanian and has published in prestigious journals such as Blood, Cancer Research and Scientific Reports.

In The Last Decade

Chad Sanada

20 papers receiving 291 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chad Sanada United States 8 150 134 72 55 42 20 294
Pak Leng Cheong Australia 8 148 1.0× 84 0.6× 83 1.2× 28 0.5× 33 0.8× 17 321
William D. Brandt United States 8 320 2.1× 81 0.6× 106 1.5× 81 1.5× 42 1.0× 9 451
Azusa Matsubara Japan 5 169 1.1× 223 1.7× 79 1.1× 62 1.1× 19 0.5× 6 398
Joanna Balcerek United States 7 159 1.1× 171 1.3× 145 2.0× 82 1.5× 26 0.6× 10 370
Chaitanya R. Badwe United States 5 177 1.2× 85 0.6× 33 0.5× 35 0.6× 17 0.4× 9 276
Stephen J. Loughran Australia 10 315 2.1× 268 2.0× 110 1.5× 53 1.0× 28 0.7× 14 536
Laure Gilles France 7 149 1.0× 260 1.9× 191 2.7× 26 0.5× 24 0.6× 11 375
Benjamin T. Goetz United States 9 184 1.2× 61 0.5× 45 0.6× 73 1.3× 20 0.5× 12 300
Emily Sims United States 11 210 1.4× 97 0.7× 54 0.8× 69 1.3× 14 0.3× 18 361

Countries citing papers authored by Chad Sanada

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chad Sanada

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Sanada. A scholar is included among the top collaborators of Chad Sanada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chad Sanada. Chad Sanada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Nan, Chad Sanada, Brian Fowler, et al.. (2022). Microfluidic live tracking and transcriptomics of cancer-immune cell doublets link intercellular proximity and gene regulation. Communications Biology. 5(1). 1231–1231. 4 indexed citations
2.
Biswas, Aditya, Chad Sanada, Ujjwal Maulik, et al.. (2021). Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data. Genome Research. 31(4). 689–697. 10 indexed citations
3.
Sanada, Chad & Aik T. Ooi. (2019). Single-Cell Dosing and mRNA Sequencing of Suspension and Adherent Cells Using the PolarisTM System. Methods in molecular biology. 1979. 185–195. 5 indexed citations
4.
Ramalingam, Naveen, Lukasz Szpankowski, Anne Leyrat, et al.. (2019). Abstract LB-326: Full-Length mRNA transcriptome analysis of matched circulating tumor and immune cells from breast cancer subjects. Cancer Research. 79(13_Supplement). LB–326. 1 indexed citations
5.
Colletti, Evan, Weihong Yin, Chad Sanada, et al.. (2018). A human bone marrow mesodermal-derived cell population with hemogenic potential. Leukemia. 32(7). 1575–1586. 6 indexed citations
6.
Lu, Yi-Chien, Chad Sanada, Juliana Xavier-Ferrucio, et al.. (2018). The Molecular Signature of Megakaryocyte-Erythroid Progenitors Reveals a Role for the Cell Cycle in Fate Specification. Cell Reports. 25(8). 2083–2093.e4. 59 indexed citations
7.
Gong, Haibiao, Xiaohui Wang, Benjamin P. Liu, et al.. (2017). Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection. Scientific Reports. 7(1). 2776–2776. 22 indexed citations
8.
Ramani, Vishnu C., Rakhi Gupta, Gerald Quon, et al.. (2017). Abstract 1847: Evaluating the metastatic potential and the molecular heterogeneity of patient-derived orthotopic xenograft models of triple-negative breast cancer. Cancer Research. 77(13_Supplement). 1847–1847. 1 indexed citations
9.
Ramalingam, Naveen, Yi Fang Lee, Lukasz Szpankowski, et al.. (2017). Abstract 2923: Label-free enrichment and integrated full-length mRNA transcriptome analysis of single live circulating tumor cells from breast cancer patients. Cancer Research. 77(13_Supplement). 2923–2923. 5 indexed citations
10.
Sanada, Chad, Juliana Xavier-Ferrucio, Yi-Chien Lu, et al.. (2016). Adult human megakaryocyte-erythroid progenitors are in the CD34+CD38mid fraction. Blood. 128(7). 923–933. 46 indexed citations
11.
Sui, Zhenhua, Roberta B. Nowak, Chad Sanada, et al.. (2015). Regulation of actin polymerization by tropomodulin-3 controls megakaryocyte actin organization and platelet biogenesis. Blood. 126(4). 520–530. 26 indexed citations
12.
Zou, Siying, et al.. (2014). ARHGEF12 Is Essential for Human Megakaryocyte Differentiation and Plays Critical Roles in Platelet Function. Blood. 124(21). 341–341. 1 indexed citations
13.
Sanada, Chad, Elizabeth Min, Siying Zou, et al.. (2014). Single Cell Transcriptome Profiling of Highly Purified Human Megakaryocyte-Erythroid Progenitors (MEP) Reveals New Insights into the MEP Fate Decision. Blood. 124(21). 2903–2903. 1 indexed citations
14.
Sanada, Chad, Evan Colletti, Mary Ann Knovich, et al.. (2012). Mesenchymal stem cells contribute to endogenous FVIII:c production. Journal of Cellular Physiology. 228(5). 1010–1016. 26 indexed citations
15.
Porada, Christopher D., Chad Sanada, Evan Colletti, et al.. (2011). Phenotypic correction of hemophilia A in sheep by postnatal intraperitoneal transplantation of FVIII-expressing MSC. Experimental Hematology. 39(12). 1124–1135.e4. 52 indexed citations
16.
Porada, Christopher D., Chad Sanada, Evan Colletti, et al.. (2010). Phenotypic Correction of Hemophilia A by Postnatal Intraperitoneal Transplantation of FVIII-Expressing MSC. Blood. 116(21). 249–249. 3 indexed citations
17.
Porada, Christopher D., Duygu Dee Harrison-Findik, Chad Sanada, et al.. (2008). Development and characterization of a novel CD34 monoclonal antibody that identifies sheep hematopoietic stem/progenitor cells. Experimental Hematology. 36(12). 1739–1749. 20 indexed citations
18.
Sanada, Chad, et al.. (2008). A Frame Shift-Induced Stop Codon Causes Hemophilia a in Sheep.. Blood. 112(11). 3378–3378. 4 indexed citations
19.
Porada, Christopher D., et al.. (2007). Development and Characterization of a Novel CD34 Monoclonal Antibody That Identifies Sheep Hematopoietic Stem/Progenitor Cells.. Blood. 110(11). 4909–4909. 1 indexed citations

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.

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