Henia Darr

1.8k total citations
10 papers, 1.3k citations indexed

About

Henia Darr is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Henia Darr has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Henia Darr's work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (8 papers) and 3D Printing in Biomedical Research (2 papers). Henia Darr is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (8 papers) and 3D Printing in Biomedical Research (2 papers). Henia Darr collaborates with scholars based in United States, Israel and Portugal. Henia Darr's co-authors include Nissim Benvenisty, Yoav Mayshar, Ihor R. Lemischka, Betty Chang, Christoph Schaniel, Dung‐Fang Lee, Jie Su, Junjun Ding, Jianlong Wang and Yongchao Ge and has published in prestigious journals such as Cell, Development and Human Reproduction.

In The Last Decade

Henia Darr

10 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Henia Darr United States	10	1.1k	281	179	162	135	10	1.3k
David J. Rodda Canada	6	1.0k 1.0×	185 0.7×	69 0.4×	154 1.0×	103 0.8×	8	1.2k
María Castellà Spain	16	913 0.9×	235 0.8×	86 0.5×	176 1.1×	135 1.0×	23	1.2k
Michael D. Bettess Australia	8	883 0.8×	202 0.7×	108 0.6×	116 0.7×	102 0.8×	8	1.2k
Patricia E. de Almeida United States	9	600 0.6×	158 0.6×	140 0.8×	83 0.5×	75 0.6×	10	843
Agla J. Fridriksdottir Denmark	13	511 0.5×	633 2.3×	136 0.8×	105 0.6×	236 1.7×	20	949
Jotaro Suzuki Japan	6	1.0k 1.0×	201 0.7×	94 0.5×	75 0.5×	124 0.9×	9	1.2k
Pierre Y. Desprez United States	9	585 0.6×	271 1.0×	118 0.7×	79 0.5×	174 1.3×	12	982
Sneha Ramakrishna United States	12	726 0.7×	656 2.3×	208 1.2×	229 1.4×	129 1.0×	27	1.3k
Weijia Wang Canada	15	627 0.6×	130 0.5×	106 0.6×	57 0.4×	169 1.3×	24	938

Countries citing papers authored by Henia Darr

Since Specialization

Citations

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

Fields of papers citing papers by Henia Darr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henia Darr. 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 Henia Darr. The network helps show where Henia Darr may publish in the future.

Co-authorship network of co-authors of Henia Darr

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

All Works

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10 of 10 papers shown

Choi, Bryan D., Xiaoling Yu, Ana P. Castaño, et al.. (2019). CRISPR-Cas9 disruption of PD-1 enhances activity of universal EGFRvIII CAR T cells in a preclinical model of human glioblastoma. Journal for ImmunoTherapy of Cancer. 7(1). 304–304. 228 indexed citations

Lee, Dung‐Fang, Jie Su, Huen Suk Kim, et al.. (2015). Modeling Familial Cancer with Induced Pluripotent Stem Cells. Cell. 161(2). 240–254. 169 indexed citations

Waghray, Avinash, Néstor Saiz, Anitha D. Jayaprakash, et al.. (2015). Tbx3 Controls Dppa3 Levels and Exit from Pluripotency toward Mesoderm. Stem Cell Reports. 5(1). 97–110. 33 indexed citations

Papatsenko, Dmitri, Henia Darr, Ivan V. Kulakovskiy, et al.. (2015). Single-Cell Analyses of ESCs Reveal Alternative Pluripotent Cell States and Molecular Mechanisms that Control Self-Renewal. Stem Cell Reports. 5(2). 207–220. 32 indexed citations

Tsai, Su‐Yi, Dung‐Fang Lee, Jonathan M. Monk, et al.. (2011). Wdr5 Mediates Self-Renewal and Reprogramming via the Embryonic Stem Cell Core Transcriptional Network. Cell. 145(2). 183–197. 434 indexed citations

Darr, Henia & Nissim Benvenisty. (2008). Genetic Analysis of the Role of the Reprogramming Gene LIN-28 in Human Embryonic Stem Cells. Stem Cells. 27(2). 352–362. 67 indexed citations

Darr, Henia & Nissim Benvenisty. (2006). Factors Involved in Self-Renewal and Pluripotency of Embryonic Stem Cells. Handbook of experimental pharmacology. 1–19. 9 indexed citations

Darr, Henia, Yoav Mayshar, & Nissim Benvenisty. (2006). Overexpression of NANOG in human ES cells enables feeder-free growth while inducing primitive ectoderm features. Development. 133(6). 1193–1201. 166 indexed citations

Darr, Henia & Nissim Benvenisty. (2006). Human Embryonic Stem Cells: the Battle Between Self-Renewal and Differentiation. Regenerative Medicine. 1(3). 317–325. 16 indexed citations

10.

Dvash, Tamar, Yoav Mayshar, Henia Darr, et al.. (2004). Temporal gene expression during differentiation of human embryonic stem cells and embryoid bodies. Human Reproduction. 19(12). 2875–2883. 107 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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