Zhanyun Tang

11.0k citations
33 papers · 4.9k indexed · 1 hit paper · h-index 28
  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics 10
    • Ubiquitin and proteasome pathways 12
    • Genomics and Chromatin Dynamics 12
    • Epigenetics and DNA Methylation 10
    • Cancer-related gene regulation 7
    • Histone Deacetylase Inhibitors Research 5
    • RNA modifications and cancer 4
    • DNA Repair Mechanisms 3
  • Aging top 5%
  • Oncology top 5%

Zhanyun Tang

33 papers receiving 4.8k citations

Hit Papers

Intracellular Crotonyl-CoA Stimulates Transcription throu...4772015202620182022100200300400

Peers

Zhanyun Tang
Comparison fields: 5 of 111
  • Cell Biology 1.8k
  • Molecular Biology 4.3k
  • Geriatrics and Gerontology 108
  • Aging 43
  • Oncology 612
Replace Philippe Pasero with:
Philippe Pasero France
Alex Vassilev United States
Chuanmao Zhang China
David P. Toczyski United States
Gaëlle Legube France
Sophie E. Polo France
Alberto Ciccia United States
Mikhail A. Nikiforov United States
Didier Trouche France
Erica S. Johnson United States
Zhanyun Tang relative to Philippe Pasero France Philippe Pasero's profile →
Citations per field
00.5×3.2×
Philippe Pasero · 1×
Citations per year

Countries citing papers authored by Zhanyun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zhanyun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Zhanyun Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhanyun Tang Line = papers co-authored together Zhanyun Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202310
2 2021149
3 2018158
4 2017149
5 2016275
6
Intracellular Crotonyl-CoA Stimulates Transcription through p300-Catalyzed Histone Crotonylationbreakdown →
2015477
7 201531
8 2013328
9 2013135
10 201348
11 201399
12 201350
13 2006121
14 2006263
15 2006145
16 2004227
17 2004245
18 200427
19 20029
20 2001351

About Zhanyun Tang

Zhanyun Tang is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 33 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (10 papers), Microtubule and mitosis dynamics (10 papers), Cancer-related gene regulation (7 papers), Histone Deacetylase Inhibitors Research (5 papers), RNA modifications and cancer (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cell Biology (1.8k citations), Molecular Biology (4.3k citations) and Geriatrics and Gerontology (108 citations). Zhanyun Tang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Hongtao Yu, Robert G. Roeder, Rajnish Bharadwaj, Xuelian Luo, Josep Rizo, Miho Shimada, Hongjun Shu, Bing Li, Yingming Zhao and He Huang. Their work appears in journals such as Nature, Science and Cell.

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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