Haihe Ruan

461 total citations
8 papers, 366 citations indexed

About

Haihe Ruan is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Haihe Ruan has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Haihe Ruan's work include Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers) and Telomeres, Telomerase, and Senescence (2 papers). Haihe Ruan is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers) and Telomeres, Telomerase, and Senescence (2 papers). Haihe Ruan collaborates with scholars based in China, United States and Italy. Haihe Ruan's co-authors include Yuh‐Hwa Wang, Virginia Boccardi, Fabrizio d’Adda di Fagagna, Utz Herbig, Guohong Li, Anitha Suram, Neena Mirani, Marzia Fumagalli, Resham L Gurung and Raffaella Di Micco and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Haihe Ruan

8 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haihe Ruan China 7 286 144 63 50 39 8 366
Noa Lamm Australia 11 437 1.5× 153 1.1× 82 1.3× 35 0.7× 30 0.8× 16 539
Maksym Shyian Switzerland 10 331 1.2× 64 0.4× 63 1.0× 48 1.0× 41 1.1× 12 376
Evert-Jan Uringa Netherlands 6 287 1.0× 96 0.7× 64 1.0× 35 0.7× 22 0.6× 8 379
Joana Catarina Macedo Portugal 8 203 0.7× 52 0.4× 106 1.7× 37 0.7× 27 0.7× 11 316
Charlotte Hodson Australia 10 442 1.5× 104 0.7× 43 0.7× 35 0.7× 13 0.3× 10 474
Andrew P. Salinger United States 8 512 1.8× 196 1.4× 24 0.4× 67 1.3× 58 1.5× 11 591
Mary F. Chaiken United States 6 451 1.6× 397 2.8× 30 0.5× 83 1.7× 67 1.7× 7 577
Albert Ribes‐Zamora United States 8 297 1.0× 148 1.0× 28 0.4× 23 0.5× 32 0.8× 10 349
Katja Kratz Switzerland 7 410 1.4× 78 0.5× 43 0.7× 42 0.8× 29 0.7× 8 460
Jaewon Min United States 11 626 2.2× 343 2.4× 148 2.3× 42 0.8× 60 1.5× 17 760

Countries citing papers authored by Haihe Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Haihe Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihe Ruan

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

All Works

8 of 8 papers shown
1.
Yu, Juan, Zengqi Wen, Jie Shen, et al.. (2020). Analysis of Local Chromatin States Reveals Gene Transcription Potential during Mouse Neural Progenitor Cell Differentiation. Cell Reports. 32(4). 107953–107953. 11 indexed citations
2.
Wen, Zengqi, Liwei Zhang, Haihe Ruan, & Guohong Li. (2020). Histone variant H2A.Z regulates nucleosome unwrapping and CTCF binding in mouse ES cells. Nucleic Acids Research. 48(11). 5939–5952. 35 indexed citations
3.
Zhou, Yu, Zengqi Wen, Jie Shen, et al.. (2020). Analysis of Local Chromatin States Reveals Gene Transcription Potential during Mouse Neural Progenitor Cell Differentiation. Cell Reports. 32(7). 108072–108072. 2 indexed citations
4.
Fang, Junnan, Yuting Liu, Yun Wei, et al.. (2015). Structural transitions of centromeric chromatin regulate the cell cycle-dependent recruitment of CENP-N. Genes & Development. 29(10). 1058–1073. 62 indexed citations
5.
Xie, Qi, Shengyi Peng, Tao Li, et al.. (2014). E2F Transcription Factor 1 Regulates Cellular and Organismal Senescence by Inhibiting Forkhead Box O Transcription Factors. Journal of Biological Chemistry. 289(49). 34205–34213. 33 indexed citations
6.
Suram, Anitha, Haihe Ruan, Virginia Boccardi, et al.. (2012). Oncogene-induced telomere dysfunction enforces cellular senescence in human cancer precursor lesions. The EMBO Journal. 31(13). 2839–2851. 186 indexed citations
7.
Ruan, Haihe & Yuh‐Hwa Wang. (2008). Friedreich's Ataxia GAA·TTC Duplex and GAA·GAA·TTC Triplex Structures Exclude Nucleosome Assembly. Journal of Molecular Biology. 383(2). 292–300. 26 indexed citations
8.
Hagerman, Katharine A., Haihe Ruan, Kerrie Nichol Edamura, et al.. (2008). The ATTCT repeats of spinocerebellar ataxia type 10 display strong nucleosome assembly which is enhanced by repeat interruptions. Gene. 434(1-2). 29–34. 11 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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