Iris Zamir

1.8k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Iris Zamir is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Iris Zamir has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Iris Zamir's work include Estrogen and related hormone effects (5 papers), Retinoids in leukemia and cellular processes (5 papers) and Nuclear Receptors and Signaling (2 papers). Iris Zamir is often cited by papers focused on Estrogen and related hormone effects (5 papers), Retinoids in leukemia and cellular processes (5 papers) and Nuclear Receptors and Signaling (2 papers). Iris Zamir collaborates with scholars based in United States, Netherlands and Italy. Iris Zamir's co-authors include Mitchell A. Lazar, Jinsong Zhang, Vania Gelmetti, Clara Nervi, Fabiana Fosca Ferrara, Pier Giuseppe Pelicci, Fausto Grignani, Mario Cioce, F Grignani and Christian Seiser and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Iris Zamir

8 papers receiving 1.5k 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.

Fusion proteins of the retinoic acid receptor-α recruit histone deacetylase in promyelocytic leukaemia

1998 864 citations F Grignani, Silvia De Matteis et al. Nature profile →

Peers

Iris Zamir

MB

GENET

HEMAT

CMN

IMMUN

Clare M. Heyworth United Kingdom

PETER G. H. BYFIELD United Kingdom

S Tajima Japan

Jean‐Marie Garnier France

Rafael Mira-y-Lopez United States

Randal K. Wada United States

Eliezer Kopf Israel

Shaji Abraham United States

Xiao-kun Zhang United States

Kam-Wing Jair United States

Clare M. Heyworth United Kingdom

Iris Zamir

776 ×0.6

MB

112 ×0.2

GENET

358 ×0.8

HEMAT

61 ×0.5

CMN

331 ×3.2

IMMUN

Citations per year, relative to Iris Zamir Iris Zamir (= 1×) peers Clare M. Heyworth

Countries citing papers authored by Iris Zamir

Since Specialization

Citations

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

Fields of papers citing papers by Iris Zamir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Zamir

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Zamir. A scholar is included among the top collaborators of Iris Zamir 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 Iris Zamir. Iris Zamir 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:

8 of 8 papers shown

1.

Blumen, Orna & Iris Zamir. (2001). Two Social Environments in a Working Day: Occupation and Spatial Segregation in Metropolitan Tel Aviv. Environment and Planning A Economy and Space. 33(10). 1765–1784. 25 indexed citations

2.

Grignani, F, Silvia De Matteis, Clara Nervi, et al.. (1998). Fusion proteins of the retinoic acid receptor-α recruit histone deacetylase in promyelocytic leukaemia. Nature. 391(6669). 815–818. 864 indexed citations breakdown →

3.

Carter, Kenneth C., Lian Wang, Brenda K. Shell, et al.. (1997). The Human Transcriptional Adaptor GenesTADA2LandGCN5L2Colocalize to Chromosome 17q12–q21 and Display a Similar Tissue Expression Pattern. Genomics. 40(3). 497–500. 9 indexed citations

4.

Zamir, Iris, Jinsong Zhang, & Mitchell A. Lazar. (1997). Stoichiometric and steric principles governing repression by nuclear hormone receptors.. Genes & Development. 11(7). 835–846. 200 indexed citations

5.

Zhang, Jinsong, Iris Zamir, & Mitchell A. Lazar. (1997). Differential Recognition of Liganded and Unliganded Thyroid Hormone Receptor by Retinoid X Receptor Regulates Transcriptional Repression. Molecular and Cellular Biology. 17(12). 6887–6897. 61 indexed citations

6.

Zamir, Iris, et al.. (1997). Cloning and characterization of a corepressor and potential component of the nuclear hormone receptor repression complex. Proceedings of the National Academy of Sciences. 94(26). 14400–14405. 113 indexed citations

7.

Zamir, Iris, Heather P. Harding, G. Brandon Atkins, et al.. (1996). A Nuclear Hormone Receptor Corepressor Mediates Transcriptional Silencing by Receptors with Distinct Repression Domains. Molecular and Cellular Biology. 16(10). 5458–5465. 204 indexed citations

8.

Schultheiss, T, Z X Lin, H Ishikawa, et al.. (1991). Desmin/vimentin intermediate filaments are dispensable for many aspects of myogenesis.. The Journal of Cell Biology. 114(5). 953–966. 88 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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