Chad A. Cowan

22.7k total citations · 8 hit papers
83 papers, 12.5k citations indexed

About

Chad A. Cowan is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Chad A. Cowan has authored 83 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 13 papers in Surgery and 11 papers in Physiology. Recurrent topics in Chad A. Cowan's work include CRISPR and Genetic Engineering (30 papers), Pluripotent Stem Cells Research (30 papers) and Adipose Tissue and Metabolism (9 papers). Chad A. Cowan is often cited by papers focused on CRISPR and Genetic Engineering (30 papers), Pluripotent Stem Cells Research (30 papers) and Adipose Tissue and Metabolism (9 papers). Chad A. Cowan collaborates with scholars based in United States, Japan and Netherlands. Chad A. Cowan's co-authors include Tim Ahfeldt, Mark Henkemeyer, Douglas A. Melton, George Q. Daley, Konrad Hochedlinger, Nimet Maherali, Natasha Arora, Frank H. Lau, Hongguang Huo and In-Hyun Park and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Chad A. Cowan

81 papers receiving 12.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Highly Efficient Reprogramming to Pluripotency and Directed Differentiation of Human Cells with Synthetic Modified mRNA

2010 1.9k citations Tim Ahfeldt, Frank H. Lau et al. Cell stem cell profile →
Disease-Specific Induced Pluripotent Stem Cells

2008 1.6k citations In-Hyun Park, Natasha Arora et al. Cell profile →
Genomewide Analysis of PRC1 and PRC2 Occupancy Identifies Two Classes of Bivalent Domains

2008 787 citations Tarjei S. Mikkelsen, Mazhar Adli et al. profile →
Derivation of Embryonic Stem-Cell Lines from Human Blastocysts

2004 733 citations Chad A. Cowan, Irina Klimanskaya et al. New England Journal of Medicine profile →
Marked differences in differentiation propensity among human embryonic stem cell lines

2008 628 citations Kenji Osafune, Leslie Caron et al. Nature Biotechnology profile →
Nuclear Reprogramming of Somatic Cells After Fusion with Human Embryonic Stem Cells

2005 625 citations Chad A. Cowan, Douglas A. Melton et al. profile →
Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Genome Editing

2014 402 citations Qiurong Ding, Chad A. Cowan et al. profile →
Efficient Ablation of Genes in Human Hematopoietic Stem and Effector Cells using CRISPR/Cas9

2014 379 citations Leonardo M. R. Ferreira, Torsten Meißner et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chad A. Cowan United States	37	10.1k	1.9k	1.9k	1.6k	1.3k	83	12.5k
Shulan Tian United States	22	10.8k 1.1×	1.2k 0.6×	2.1k 1.1×	1.1k 0.7×	1.3k 1.0×	53	12.5k
Ángel Raya Spain	44	8.6k 0.8×	1.1k 0.6×	1.5k 0.8×	1.1k 0.7×	1.3k 1.0×	124	11.3k
Jessica Antosiewicz‐Bourget United States	12	13.6k 1.3×	964 0.5×	2.1k 1.1×	2.1k 1.3×	1.3k 1.0×	14	15.3k
Martín F. Pera Australia	55	10.4k 1.0×	1.3k 0.7×	2.9k 1.5×	1.1k 0.7×	1.0k 0.8×	154	12.5k
Edouard G. Stanley Australia	51	8.0k 0.8×	1.2k 0.6×	2.5k 1.3×	1.5k 1.0×	581 0.4×	151	12.6k
Nissim Benvenisty Israel	60	12.1k 1.2×	982 0.5×	2.8k 1.5×	2.4k 1.5×	1.3k 1.0×	194	14.6k
Andrew G. Elefanty Australia	51	7.6k 0.7×	1.1k 0.6×	2.5k 1.4×	1.2k 0.8×	577 0.4×	164	11.0k
Junying Yu United States	27	14.2k 1.4×	1.8k 0.9×	3.3k 1.8×	1.4k 0.9×	1.9k 1.4×	29	16.3k
Igor I. Slukvin United States	38	11.8k 1.2×	1.0k 0.5×	2.4k 1.3×	1.2k 0.8×	1.7k 1.3×	120	14.7k
In-Hyun Park United States	26	7.0k 0.7×	941 0.5×	1.2k 0.6×	838 0.5×	959 0.7×	32	8.1k

Countries citing papers authored by Chad A. Cowan

Since Specialization

Citations

This map shows the geographic impact of Chad A. Cowan'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 A. Cowan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad A. Cowan more than expected).

Fields of papers citing papers by Chad A. Cowan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad A. Cowan. 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 A. Cowan. The network helps show where Chad A. Cowan may publish in the future.

Co-authorship network of co-authors of Chad A. Cowan

This figure shows the co-authorship network connecting the top 25 collaborators of Chad A. Cowan. A scholar is included among the top collaborators of Chad A. Cowan 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 A. Cowan. Chad A. Cowan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Shuqi, et al.. (2024). Universal protection of allogeneic T-cell therapies from natural killer cells via CD300a agonism. Blood Advances. 9(2). 254–264. 5 indexed citations

Friesen, Max, Curtis R. Warren, Haojie Yu, et al.. (2020). Mitoregulin Controls β-Oxidation in Human and Mouse Adipocytes. Stem Cell Reports. 14(4). 590–602. 34 indexed citations

Toyohara, Takafumi, Filip Roudnicky, Mary H.C. Florido, et al.. (2020). Patient hiPSCs Identify Vascular Smooth Muscle Arylacetamide Deacetylase as Protective against Atherosclerosis. Cell stem cell. 27(1). 147–157.e7. 20 indexed citations

Han, Xiao, Mengning Wang, Paul J. Franco, et al.. (2019). Generation of hypoimmunogenic human pluripotent stem cells. Proceedings of the National Academy of Sciences. 116(21). 10441–10446. 239 indexed citations

Cheng, Yichen, Alyssa J. Rolfe, Christy Hammack, et al.. (2018). An hPSC-Derived Tissue-Resident Macrophage Model Reveals Differential Responses of Macrophages to ZIKV and DENV Infection. Stem Cell Reports. 11(2). 348–362. 27 indexed citations

Duan, Jubao, Hanwen Zhang, Marc P. Forrest, et al.. (2017). Open Chromatin Dynamics In Ipsc-Derived Neurons And CRISPR/CAS9 Editing of open Chromatin Sequences At The MIR137 Schizophrenia Risk Locus Alters Synapto-Dendritic Architecture. European Neuropsychopharmacology. 27. S429–S430.

Cowan, Chad A.. (2016). Genome editing : from modeling disease to novel therapeutics. 日本産科婦人科學會雜誌. 68(2). 340.

Naylor, Richard W., Charles N. J. McGhee, Chad A. Cowan, et al.. (2016). Derivation of Corneal Keratocyte-Like Cells from Human Induced Pluripotent Stem Cells. PLoS ONE. 11(10). e0165464–e0165464. 26 indexed citations

Ferreira, Leonardo M. R., Torsten Meißner, Tarjei S. Mikkelsen, et al.. (2016). A distant trophoblast-specific enhancer controls HLA-G expression at the maternal–fetal interface. Proceedings of the National Academy of Sciences. 113(19). 5364–5369. 68 indexed citations

10.

Leschik, Julia, Leslie Caron, Henry Yang, Chad A. Cowan, & Michel Pucéat. (2014). A View of Bivalent Epigenetic Marks in Two Human Embryonic Stem Cell Lines Reveals a Different Cardiogenic Potential. Stem Cells and Development. 24(3). 384–392. 5 indexed citations

11.

Zhu, Jiang, Mazhar Adli, James Zou, et al.. (2013). Genome-wide Chromatin State Transitions Associated with Developmental and Environmental Cues. Cell. 152(3). 642–654. 380 indexed citations

12.

Lau, Frank H., Fang Xia, Adam Kaplan, et al.. (2012). Expression Analysis of Macrodactyly Identifies Pleiotrophin Upregulation. PLoS ONE. 7(7). e40423–e40423. 4 indexed citations

13.

Park, In-Hyun, Natasha Arora, Hongguang Huo, et al.. (2008). Disease-Specific Induced Pluripotent Stem Cells. Cell. 134(5). 877–886. 1616 indexed citations breakdown →

14.

Maherali, Nimet, Tim Ahfeldt, Alessandra Rigamonti, et al.. (2008). A High-Efficiency System for the Generation and Study of Human Induced Pluripotent Stem Cells. Cell stem cell. 3(3). 340–345. 426 indexed citations

15.

Osafune, Kenji, Leslie Caron, Malgorzata Borowiak, et al.. (2008). Marked differences in differentiation propensity among human embryonic stem cell lines. Nature Biotechnology. 26(3). 313–315. 628 indexed citations breakdown →

16.

Ptaszek, Leon M. & Chad A. Cowan. (2007). New Tools for Genome Modification in Human Embryonic Stem Cells. Cell stem cell. 1(6). 600–602. 3 indexed citations

17.

Sullivan, Stephen, Chad A. Cowan, & Kevin Eggan. (2007). Human embryonic stem cells : the practical handbook. John Wiley & Sons eBooks. 11 indexed citations

18.

Akutsu, Hidenori, Chad A. Cowan, & Douglas A. Melton. (2006). Human Embryonic Stem Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 418. 78–92. 14 indexed citations

19.

Cowan, Chad A., Irina Klimanskaya, Jill A. McMahon, et al.. (2004). Derivation of Embryonic Stem-Cell Lines from Human Blastocysts. New England Journal of Medicine. 350(13). 1353–1356. 733 indexed citations breakdown →

20.

Cowan, Chad A., Nobuhiko Yokoyama, Ankur Saxena, et al.. (2004). Ephrin-B2 reverse signaling is required for axon pathfinding and cardiac valve formation but not early vascular development. Developmental Biology. 271(2). 263–271. 104 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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