Yan Stein

932 total citations
12 papers, 353 citations indexed

About

Yan Stein is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yan Stein has authored 12 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Immunology. Recurrent topics in Yan Stein's work include Cancer-related Molecular Pathways (7 papers), Epigenetics and DNA Methylation (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). Yan Stein is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Epigenetics and DNA Methylation (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). Yan Stein collaborates with scholars based in Israel, United States and Germany. Yan Stein's co-authors include Varda Rotter, Ronit Aloni-Grinstein, M Fainaru, Naama Kessler, Tali E. Haran, Zhiqun Xi, Dmitrij Golovenko, Zippora Shakked, Gilgi Friedlander and Shalom Madar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and PLoS ONE.

In The Last Decade

Yan Stein

11 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Stein Israel	9	200	160	84	55	52	12	353
Christopher M. Hoffmann Germany	8	228 1.1×	313 2.0×	129 1.5×	26 0.5×	45 0.9×	15	456
Alexandra Gonzalez France	7	212 1.1×	110 0.7×	78 0.9×	34 0.6×	48 0.9×	10	389
Zhenqing Feng China	12	201 1.0×	179 1.1×	48 0.6×	27 0.5×	38 0.7×	30	408
Sanglin Li China	10	207 1.0×	81 0.5×	106 1.3×	65 1.2×	23 0.4×	16	387
IHM Borel Rinkes Netherlands	7	164 0.8×	146 0.9×	31 0.4×	34 0.6×	36 0.7×	11	347
Jean Carol Hager United States	11	179 0.9×	136 0.8×	105 1.3×	23 0.4×	35 0.7×	20	366
Ping Zhan China	10	271 1.4×	97 0.6×	213 2.5×	78 1.4×	88 1.7×	27	463
Yinghan Su China	9	204 1.0×	71 0.4×	136 1.6×	27 0.5×	31 0.6×	11	305
Chaoyi Yuan China	7	138 0.7×	69 0.4×	63 0.8×	38 0.7×	47 0.9×	12	247
Anette Heller Germany	10	152 0.8×	188 1.2×	83 1.0×	24 0.4×	33 0.6×	13	365

Countries citing papers authored by Yan Stein

Since Specialization

Citations

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

Fields of papers citing papers by Yan Stein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Stein

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

All Works

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12 of 12 papers shown

Unterman, Avraham, Amy Zhao, Nir Neumark, et al.. (2024). Single-Cell Profiling Reveals Immune Aberrations in Progressive Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 210(4). 484–496. 25 indexed citations

Unterman, Avraham, et al.. (2023). Single-cell RNA sequencing of bronchoalveolar lavage reveals pro-inflammatory macrophage activation in fibrotic hypersensitivity pneumonitis. OA895–OA895. 1 indexed citations

Stein, Yan, Ronit Aloni-Grinstein, & Varda Rotter. (2020). Mutant p53 oncogenicity: dominant-negative or gain-of-function?. Carcinogenesis. 41(12). 1635–1647. 30 indexed citations

Aloni-Grinstein, Ronit, Yan Stein, & Varda Rotter. (2020). Influenza A virus and p53: Can the Two Walk Together? A Commentary on “p53 and the Viral Connection: Back into the Future”. 4(1). 1–4. 2 indexed citations

Stein, Yan, Varda Rotter, & Ronit Aloni-Grinstein. (2019). Gain-of-Function Mutant p53: All the Roads Lead to Tumorigenesis. International Journal of Molecular Sciences. 20(24). 6197–6197. 125 indexed citations

Stein, Yan, Ronit Aloni-Grinstein, & Varda Rotter. (2019). Mutant p53—a potential player in shaping the tumor–stroma crosstalk. Journal of Molecular Cell Biology. 11(7). 600–604. 29 indexed citations

Xi, Zhiqun, Yan Stein, Dmitrij Golovenko, et al.. (2017). Diverse p53/DNA binding modes expand the repertoire of p53 response elements. Proceedings of the National Academy of Sciences. 114(40). 10624–10629. 34 indexed citations

Tokarsky-Amiel, Ronit, Narmen Azazmeh, Aharon Helman, et al.. (2013). Dynamics of Senescent Cell Formation and Retention Revealed by p14ARF Induction in the Epidermis. Cancer Research. 73(9). 2829–2839. 16 indexed citations

Madar, Shalom, Ido Goldstein, Yan Stein, et al.. (2013). Mutant p53 Attenuates the Anti-Tumorigenic Activity of Fibroblasts-Secreted Interferon Beta. PLoS ONE. 8(4). e61353–e61353. 36 indexed citations

10.

Fainaru, M, et al.. (1972). Virus-like particles in the cytoplasm of a patient with acute hepatitis associated with Australia antigen.. PubMed. 8(2). 128–32.

11.

Fainaru, M, et al.. (1972). Visualization of virus-like particles in endoplasmic reticulum of hepatocytes of Australia antigen carriers.. PubMed. 26(3). 262–9. 47 indexed citations

12.

Stein, Oliver, M Fainaru, & Yan Stein. (1971). VIRUS-LIKE PARTICLES IN CYTOPLASM OF LIVERS OF AU-ANTIGEN CARRIERS. The Lancet. 298(7715). 90–91. 8 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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