Connie Chao

2.2k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Connie Chao is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Connie Chao has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Oncology and 3 papers in Biotechnology. Recurrent topics in Connie Chao's work include Cancer-related Molecular Pathways (10 papers), Cell death mechanisms and regulation (4 papers) and DNA Repair Mechanisms (4 papers). Connie Chao is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Cell death mechanisms and regulation (4 papers) and DNA Repair Mechanisms (4 papers). Connie Chao collaborates with scholars based in United States, Switzerland and Germany. Connie Chao's co-authors include Yang Xu, Ettore Appella, Shinichi Saito, Sharlyn J. Mazur, Tongxiang Lin, Maureen E. Murphy, Carl W. Anderson, Jerold Chun, Deron R. Herr and Yuichiro Higashimoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Connie Chao

15 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

p53 induces differentiation of mouse embryonic stem cells by suppressing Nanog expression

2004 696 citations Tongxiang Lin, Connie Chao et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connie Chao United States	12	1.5k	943	278	178	117	15	1.8k
Mary Ellen Perry United States	19	1.0k 0.7×	953 1.0×	257 0.9×	240 1.3×	111 0.9×	29	1.4k
Christel Guillouf France	19	1.3k 0.9×	767 0.8×	331 1.2×	166 0.9×	123 1.1×	32	1.6k
Jung-Kuang Hsieh United Kingdom	8	1.1k 0.7×	931 1.0×	205 0.7×	185 1.0×	132 1.1×	8	1.3k
Yunyuan V. Wang United States	7	1.3k 0.9×	592 0.6×	228 0.8×	92 0.5×	90 0.8×	7	1.5k
M. Phillip DeYoung United States	10	1.3k 0.9×	745 0.8×	435 1.6×	178 1.0×	224 1.9×	18	1.8k
Maria Giulia Rizzo Italy	21	1.2k 0.8×	543 0.6×	458 1.6×	121 0.7×	86 0.7×	39	1.6k
Hisashi Shioya United States	8	1.0k 0.7×	674 0.7×	164 0.6×	210 1.2×	133 1.1×	8	1.4k
Lauren D. Wood United States	16	1.2k 0.8×	580 0.6×	335 1.2×	60 0.3×	118 1.0×	20	1.7k
Vihren N. Kolev United States	18	851 0.6×	403 0.4×	204 0.7×	77 0.4×	182 1.6×	39	1.4k
Ee Hong Tan United Kingdom	13	997 0.7×	869 0.9×	439 1.6×	148 0.8×	509 4.4×	25	1.9k

Countries citing papers authored by Connie Chao

Since Specialization

Citations

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

Fields of papers citing papers by Connie Chao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Chao

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Karimzadeh, Alborz, Vanessa M. Scarfone, Connie Chao, et al.. (2018). The CD11a and Endothelial Protein C Receptor Marker Combination Simplifies and Improves the Purification of Mouse Hematopoietic Stem Cells. Stem Cells Translational Medicine. 7(6). 468–476. 2 indexed citations

Fathman, John W., Nathaniel B. Fernhoff, Jun Seita, et al.. (2014). Upregulation of CD11A on Hematopoietic Stem Cells Denotes the Loss of Long-Term Reconstitution Potential. Stem Cell Reports. 3(5). 707–715. 14 indexed citations

Chao, Connie, Barbara Joyce-Shaikh, Jeff Grein, et al.. (2011). C17 Prevents Inflammatory Arthritis and Associated Joint Destruction in Mice. PLoS ONE. 6(7). e22256–e22256. 13 indexed citations

Liu, Dongping, Gregory D. Clemenson, Connie Chao, et al.. (2010). Puma is required for p53-induced depletion of adult stem cells. Nature Cell Biology. 12(10). 993–998. 89 indexed citations

Song, Jeremy, Connie Chao, & Yang Xu. (2007). Ser18 and Ser23 Phosphorylation Plays Synergistic Roles in Activating p53-Dependent Neuronal Apoptosis. Cell Cycle. 6(12). 1411–1413. 8 indexed citations

Chao, Connie, Deron R. Herr, Jerold Chun, & Yang Xu. (2006). Ser18 and 23 phosphorylation is required for p53‐dependent apoptosis and tumor suppression. The EMBO Journal. 25(11). 2615–2622. 128 indexed citations

Chao, Connie, Zhiqun Wu, Sharlyn J. Mazur, et al.. (2006). Acetylation of Mouse p53 at Lysine 317 Negatively Regulates p53 Apoptotic Activities after DNA Damage. Molecular and Cellular Biology. 26(18). 6859–6869. 92 indexed citations

Borges, Helena L., Connie Chao, Yang Xu, Rafael Linden, & J Y J Wang. (2004). Radiation-induced apoptosis in developing mouse retina exhibits dose-dependent requirement for ATM phosphorylation of p53. Cell Death and Differentiation. 11(5). 494–502. 49 indexed citations

Lin, Tongxiang, Connie Chao, Shinichi Saito, et al.. (2004). p53 induces differentiation of mouse embryonic stem cells by suppressing Nanog expression. Nature Cell Biology. 7(2). 165–171. 696 indexed citations breakdown →

10.

Saito, Shinichi, Hiroshi Yamaguchi, Yuichiro Higashimoto, et al.. (2003). Phosphorylation Site Interdependence of Human p53 Post-translational Modifications in Response to Stress. Journal of Biological Chemistry. 278(39). 37536–37544. 203 indexed citations

11.

Chao, Connie, Manfred Hergenhahn, Matthias D. Kaeser, et al.. (2003). Cell Type- and Promoter-specific Roles of Ser18 Phosphorylation in Regulating p53 Responses. Journal of Biological Chemistry. 278(42). 41028–41033. 112 indexed citations

12.

Chao, Connie, et al.. (2000). Rescue of Defective T Cell Development and Function in Atm−/− Mice by a Functional TCRαβ Transgene. The Journal of Immunology. 164(1). 345–349. 25 indexed citations

13.

Chao, Connie. (2000). p53 transcriptional activity is essential for p53-dependent apoptosis following DNA damage. The EMBO Journal. 19(18). 4967–4975. 221 indexed citations

14.

Chao, Connie, Shinichi Saito, Carl W. Anderson, Ettore Appella, & Yang Xu. (2000). Phosphorylation of murine p53 at Ser-18 regulates the p53 responses to DNA damage. Proceedings of the National Academy of Sciences. 97(22). 11936–11941. 140 indexed citations

15.

Yang, Kangmin, Connie Chao, & M F Shaio. (1998). Pentoxifylline Synergizes with All-Trans Retinoic Acid to Induce Differentiation of HL-60 Myelocytic Cells, but Suppresses tRA-Augmented Clonal Growth of Normal CFU-GM. Acta Haematologica. 99(4). 191–199. 6 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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