Richard Eckner

7.5k total citations · 3 hit papers
30 papers, 6.3k citations indexed

About

Richard Eckner is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Richard Eckner has authored 30 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Oncology. Recurrent topics in Richard Eckner's work include Virus-based gene therapy research (12 papers), Cancer-related Molecular Pathways (6 papers) and RNA Research and Splicing (5 papers). Richard Eckner is often cited by papers focused on Virus-based gene therapy research (12 papers), Cancer-related Molecular Pathways (6 papers) and RNA Research and Splicing (5 papers). Richard Eckner collaborates with scholars based in United States, Japan and Switzerland. Richard Eckner's co-authors include David M. Livingston, David Newsome, Zoltàn Arany, James A. DeCaprio, Shoumo Bhattacharya, Mark E. Ewen, Jeanne B. Lawrence, Michael Gerdes, Tso‐Pang Yao and Max L. Birnstiel and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard Eckner

30 papers receiving 6.2k 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.

Molecular cloning and functional analysis of the adenovirus E1A-associated 300-kD protein (p300) reveals a protein with properties of a transcriptional adaptor.

1994 930 citations Richard Eckner, Mark E. Ewen et al. Genes & Development profile →
Gene Dosage–Dependent Embryonic Development and Proliferation Defects in Mice Lacking the Transcriptional Integrator p300

1998 815 citations Tso-Pang Yao, S. Paul Oh et al. Cell profile →
An essential role for p300/CBP in the cellular response to hypoxia

1996 646 citations Zoltàn Arany, Richard Eckner et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Eckner United States	26	4.8k	1.7k	1.7k	1.2k	880	30	6.3k
Hein te Riele Netherlands	44	6.0k 1.2×	2.3k 1.3×	1.5k 0.9×	1.3k 1.2×	566 0.6×	108	8.2k
Kent W. Hunter United States	45	3.7k 0.8×	1.7k 1.0×	978 0.6×	1.6k 1.4×	714 0.8×	123	5.9k
Daniel I. H. Linzer United States	40	3.5k 0.7×	1.6k 0.9×	1.6k 1.0×	525 0.5×	860 1.0×	83	6.0k
Marian L. Waterman United States	44	5.5k 1.1×	1.1k 0.6×	1.0k 0.6×	983 0.9×	789 0.9×	75	7.2k
Luís Teixeira da Costa Portugal	17	4.7k 1.0×	3.1k 1.8×	1.5k 0.9×	1.3k 1.1×	531 0.6×	45	7.3k
Anthony N. Imbalzano United States	56	9.5k 2.0×	912 0.5×	1.1k 0.7×	1.1k 1.0×	1.1k 1.3×	139	10.8k
Paul Hasty United States	41	6.6k 1.4×	1.5k 0.9×	1.8k 1.1×	1.1k 0.9×	492 0.6×	107	8.1k
Jean Feunteun France	46	5.2k 1.1×	2.2k 1.3×	2.6k 1.6×	1.3k 1.1×	394 0.4×	128	7.6k
Hans van Dam Netherlands	44	4.4k 0.9×	1.6k 0.9×	733 0.4×	1.1k 1.0×	873 1.0×	77	5.9k
Antonio Postigo Spain	40	5.0k 1.0×	2.8k 1.6×	725 0.4×	1.2k 1.0×	1.3k 1.5×	74	7.7k

Countries citing papers authored by Richard Eckner

Since Specialization

Citations

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

Fields of papers citing papers by Richard Eckner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Eckner

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Eckner. A scholar is included among the top collaborators of Richard Eckner 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 Richard Eckner. Richard Eckner 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

Ku, Chia‐Chen, Kenly Wuputra, Kohsuke Kato, et al.. (2020). Jdp2-deficient granule cell progenitors in the cerebellum are resistant to ROS-mediated apoptosis through xCT/Slc7a11 activation. Scientific Reports. 10(1). 4933–4933. 7 indexed citations

Saito, Shigeo, Ying‐Chu Lin, Yukio Nakamura, et al.. (2018). Potential application of cell reprogramming techniques for cancer research. Cellular and Molecular Life Sciences. 76(1). 45–65. 28 indexed citations

Kuo, Kung‐Kai, Ker-Kong Chen, Ying‐Chu Lin, et al.. (2016). Positive Feedback Loop of OCT4 and c-JUN Expedites Cancer Stemness in Liver Cancer. Stem Cells. 34(11). 2613–2624. 40 indexed citations

Hasegawa, Hitomi, Kenichi Ishibashi, Ryuzaburo Yuki, et al.. (2014). Cdk1-Mediated Phosphorylation of Human ATF7 at Thr-51 and Thr-53 Promotes Cell-Cycle Progression into M Phase. PLoS ONE. 9(12). e116048–e116048. 17 indexed citations

Tanigawa, Shunsuke, Chih‐Hung Lee, Chang‐Shen Lin, et al.. (2013). Jun dimerization protein 2 is a critical component of the Nrf2/MafK complex regulating the response to ROS homeostasis. Cell Death and Disease. 4(11). e921–e921. 54 indexed citations

Viosca, José, José P. López‐Atalaya, Román Olivares, Richard Eckner, & Ángel Barco. (2009). Syndromic features and mild cognitive impairment in mice with genetic reduction on p300 activity: Differential contribution of p300 and CBP to Rubinstein–Taybi syndrome etiology. Neurobiology of Disease. 37(1). 186–194. 41 indexed citations

Phan, Huy, Allison Xu, Shannon L. Wyszomierski, et al.. (2005). GCN5 and p300 share essential functions during early embryogenesis. Developmental Dynamics. 233(4). 1337–1347. 28 indexed citations

Ikeda, Akiko, Yan Li, Richard Eckner, et al.. (2000). p300/CBP-Dependent and -Independent Transcriptional Interference between NF-κB RelA and p53. Biochemical and Biophysical Research Communications. 272(2). 375–379. 79 indexed citations

Kawasaki, Hiroaki, Richard Eckner, Tso‐Pang Yao, et al.. (1998). Distinct roles of the co-activators p300 and CBP in retinoic-acid-induced F9-cell differentiation. Nature. 393(6682). 284–289. 273 indexed citations

10.

Yao, Tso-Pang, S. Paul Oh, Miriam Fuchs, et al.. (1998). Gene Dosage–Dependent Embryonic Development and Proliferation Defects in Mice Lacking the Transcriptional Integrator p300. Cell. 93(3). 361–372. 815 indexed citations breakdown →

11.

Song, Jun, Richard Eckner, Hideyo Ugai, et al.. (1998). p300 and ATF-2 are components of the DRF complex, which regulates retinoic acid- and E1A-mediated transcription of the c-jun gene in F9 cells. Genes & Development. 12(2). 233–245. 77 indexed citations

12.

Bhattacharya, Shoumo, Richard Eckner, Steven R. Grossman, et al.. (1996). Cooperation of Stat2 and p300/CBP in signalling induced by interferon-α. Nature. 383(6598). 344–347. 429 indexed citations

13.

Arany, Zoltàn, et al.. (1995). A family of transcriptional adaptor proteins targeted by the E1A oncoprotein. Nature. 374(6517). 81–84. 487 indexed citations

14.

Galvin, Katherine, Raymond H. See, Richard Eckner, et al.. (1995). Relief of YY1 transcriptional repression by adenovirus E1A is mediated by E1A-associated protein p300.. Genes & Development. 9(10). 1188–1198. 278 indexed citations

15.

Wydner, Karen L., Shoumo Bhattacharya, Richard Eckner, Jeanne B. Lawrence, & Dennis Livingston. (1995). Localization of human CREB-binding protein gene (CREBBP) to 16p13.2-p13.3 by fluorescence in situ hybridization.. PubMed. 30(2). 395–6. 9 indexed citations

16.

Missero, Caterina, Enzo Calautti, Richard Eckner, et al.. (1995). Involvement of the cell-cycle inhibitor Cip1/WAF1 and the E1A-associated p300 protein in terminal differentiation.. Proceedings of the National Academy of Sciences. 92(12). 5451–5455. 294 indexed citations

17.

Eckner, Richard, Zoltàn Arany, Mark E. Ewen, William R. Sellers, & Dennis Livingston. (1994). The Adenovirus E1A-associated 300-kD Protein Exhibits Properties of a Transcriptional Coactivator and Belongs to an Evolutionarily Conserved Family. Cold Spring Harbor Symposia on Quantitative Biology. 59(0). 85–95. 34 indexed citations

18.

Eckner, Richard, Mark E. Ewen, David Newsome, et al.. (1994). Molecular cloning and functional analysis of the adenovirus E1A-associated 300-kD protein (p300) reveals a protein with properties of a transcriptional adaptor.. Genes & Development. 8(8). 869–884. 930 indexed citations breakdown →

19.

Eckner, Richard & Max L. Birnstiel. (1992). Evolutionary conserved multiprotein complexes interact with the 3′ untranslated region of histone transcripts. Nucleic Acids Research. 20(5). 1023–1030. 12 indexed citations

20.

Eckner, Richard & Max L. Birnstiel. (1989). Cloning of cDNAs coding for human HMG I and HMG Y proteins: both are capable of binding to the octamer sequence motif. Nucleic Acids Research. 17(15). 5947–5959. 59 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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