Ye Zhan

13.0k total citations · 4 hit papers
38 papers, 5.7k citations indexed

About

Ye Zhan is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ye Zhan has authored 38 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Ye Zhan's work include Genomics and Chromatin Dynamics (14 papers), RNA Research and Splicing (9 papers) and Chromosomal and Genetic Variations (6 papers). Ye Zhan is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), RNA Research and Splicing (9 papers) and Chromosomal and Genetic Variations (6 papers). Ye Zhan collaborates with scholars based in United States, China and France. Ye Zhan's co-authors include Job Dekker, N. M. Naumova, Bryan R. Lajoie, Rachel Patton McCord, Jon-Matthew Belton, Johan H. Gibcus, Maxim Imakaev, Leonid A. Mirny, Geoffrey Fudenberg and Stuart S. Levine and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ye Zhan

37 papers receiving 5.7k citations

Hit Papers

Mediator and cohesin connect gene expression and chromati... 2010 2026 2015 2020 2010 2012 2013 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Zhan United States 25 4.8k 1.4k 935 516 334 38 5.7k
Steffen Heyne Germany 10 4.1k 0.9× 936 0.7× 628 0.7× 513 1.0× 466 1.4× 14 5.1k
Juan M. Vaquerizas Germany 36 5.3k 1.1× 839 0.6× 944 1.0× 549 1.1× 339 1.0× 59 6.2k
Gil Ast Israel 42 7.0k 1.4× 1.0k 0.7× 687 0.7× 834 1.6× 290 0.9× 76 7.8k
Samuel Marguerat United Kingdom 37 4.2k 0.9× 770 0.5× 636 0.7× 580 1.1× 443 1.3× 70 5.7k
Fabian Kilpert Germany 14 4.1k 0.9× 942 0.7× 641 0.7× 476 0.9× 492 1.5× 18 5.2k
Christian Haudenschild United States 18 2.6k 0.5× 1.7k 1.2× 940 1.0× 471 0.9× 162 0.5× 29 4.1k
Sarah J. Wheelan United States 34 3.1k 0.6× 865 0.6× 705 0.8× 581 1.1× 317 0.9× 84 4.2k
Kathleen H. Burns United States 40 5.2k 1.1× 2.6k 1.9× 1.4k 1.5× 625 1.2× 658 2.0× 129 7.3k
Marcel H. Schulz Germany 25 3.9k 0.8× 849 0.6× 1.3k 1.3× 1.2k 2.3× 305 0.9× 98 5.5k
Heinz Himmelbauer Germany 32 3.5k 0.7× 1.4k 1.0× 1.3k 1.4× 637 1.2× 397 1.2× 129 5.7k

Countries citing papers authored by Ye Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Ye Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Zhan

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

All Works

20 of 20 papers shown
1.
Ning, Yu, et al.. (2025). Chromosome-level genome assembly for clubrush (Scirpus × mariqueter) endemic to China. Scientific Data. 12(1). 839–839.
2.
Kocanova, Silvia, Isabelle Goiffon, Betül Akgöl Oksuz, et al.. (2023). Enhancer-driven 3D chromatin domain folding modulates transcription in human mammary tumor cells. Life Science Alliance. 7(2). e202302154–e202302154. 6 indexed citations
3.
Tigano, Anna, Arne Jacobs, Aryn P. Wilder, et al.. (2021). Chromosome-Level Assembly of the Atlantic Silverside Genome Reveals Extreme Levels of Sequence Diversity and Structural Genetic Variation. Genome Biology and Evolution. 13(6). 25 indexed citations
4.
Nand, Ankita, et al.. (2021). Genetic and spatial organization of the unusual chromosomes of the dinoflagellate Symbiodinium microadriaticum. Nature Genetics. 53(5). 618–629. 47 indexed citations
5.
Danese, Silvio, Maria Kłopocka, Ellen Scherl, et al.. (2021). Anti-TL1A Antibody PF-06480605 Safety and Efficacy for Ulcerative Colitis: A Phase 2a Single-Arm Study. Clinical Gastroenterology and Hepatology. 19(11). 2324–2332.e6. 60 indexed citations
6.
Zhao, Shanrong, Ye Zhan, & Robert V. Stanton. (2020). Misuse of RPKM or TPM normalization when comparing across samples and sequencing protocols. RNA. 26(8). 903–909. 264 indexed citations breakdown →
7.
Dossin, François, Inês Pinheiro, Jan J Żylicz, et al.. (2020). SPEN integrates transcriptional and epigenetic control of X-inactivation. Nature. 578(7795). 455–460. 140 indexed citations
8.
Gisselbrecht, Stephen S., Alexandre Palagi, Jesse V. Kurland, et al.. (2019). Transcriptional Silencers in Drosophila Serve a Dual Role as Transcriptional Enhancers in Alternate Cellular Contexts. Molecular Cell. 77(2). 324–337.e8. 78 indexed citations
9.
Gdula, Michał R., Tatyana B. Nesterova, Greta Pintacuda, et al.. (2018). The non-canonical SMC protein SmcHD1 antagonises TAD formation and compartmentalisation on the inactive X chromosome. Nature Communications. 10(1). 30–30. 80 indexed citations
10.
Rodríguez-Carballo, Eddie, Lucille Lopez‐Delisle, Ye Zhan, et al.. (2017). The HoxD cluster is a dynamic and resilient TAD boundary controlling the segregation of antagonistic regulatory landscapes. Genes & Development. 31(22). 2264–2281. 114 indexed citations
11.
Giorgetti, Luca, Bryan R. Lajoie, Ava C. Carter, et al.. (2016). Structural organization of the inactive X chromosome in the mouse. Nature. 535(7613). 575–579. 283 indexed citations
12.
Kind, Jop, Ludo Pagie, Sandra S. de Vries, et al.. (2015). Genome-wide Maps of Nuclear Lamina Interactions in Single Human Cells. Cell. 163(1). 134–147. 332 indexed citations
13.
Ramírez, Fidel, Sarah Toscano, Kin Chung Lam, et al.. (2015). High-Affinity Sites Form an Interaction Network to Facilitate Spreading of the MSL Complex across the X Chromosome in Drosophila. Molecular Cell. 60(1). 146–162. 58 indexed citations
14.
Gregg, Jennifer L., et al.. (2014). NADPH Oxidase NOX4 Supports Renal Tumorigenesis by Promoting the Expression and Nuclear Accumulation of HIF2α. Cancer Research. 74(13). 3501–3511. 58 indexed citations
15.
Naumova, N. M., Maxim Imakaev, Geoffrey Fudenberg, et al.. (2013). Organization of the Mitotic Chromosome. Science. 342(6161). 948–953. 692 indexed citations breakdown →
16.
Seitan, Vlad C., André J. Faure, Ye Zhan, et al.. (2013). Cohesin-based chromatin interactions enable regulated gene expression within preexisting architectural compartments. Genome Research. 23(12). 2066–2077. 244 indexed citations
17.
Moissiard, Guillaume, Shawn Cokus, Suhua Feng, et al.. (2012). MORC Family ATPases Required for Heterochromatin Condensation and Gene Silencing. Science. 336(6087). 1448–1451. 259 indexed citations
18.
McCord, Rachel Patton, Ashley Nazario-Toole, Haoyue Zhang, et al.. (2012). Correlated alterations in genome organization, histone methylation, and DNA–lamin A/C interactions in Hutchinson-Gilford progeria syndrome. Genome Research. 23(2). 260–269. 239 indexed citations
19.
Kagey, Michael H., Jamie J. Newman, Steve Bilodeau, et al.. (2010). Mediator and cohesin connect gene expression and chromatin architecture. Nature. 467(7314). 430–435. 1430 indexed citations breakdown →
20.
Zhan, Ye. (2000). The Slowing Down in the Bistability Chemical Reaction. 1 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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