Mei Zhong

9.4k citations
89 papers · 4.4k indexed · 3 hit papers · h-index 32

Mei Zhong

87 papers receiving 4.3k citations

Hit Papers

hESC-Derived Thalamic Organoids Form Reciprocal Projectio...3242016202620192022100200300400

Peers

Mei Zhong
Comparison fields: 5 of 144
  • Aging 172
  • Developmental Neuroscience 290
  • Molecular Biology 3.3k
  • Cancer Research 561
  • Genetics 491
Replace Toshio Kojima with:
Toshio Kojima Japan
Alessandro Prigione Germany
April D. Pyle United States
Ying Jin China
Miguel Ramalho‐Santos United States
Lydia Teboul United Kingdom
Meelad M. Dawlaty United States
Miguel Weil Israel
Herbert Schulz Germany
Mei Zhong relative to Toshio Kojima Japan Toshio Kojima's profile →
Citations per field
00.5×4.1×
Toshio Kojima · 1×
Citations per year

Countries citing papers authored by Mei Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Mei Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mei Zhong, 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 Mei Zhong Line = papers co-authored together Mei Zhong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20242
4 20245
5 20211
6 2019140
7 20191
8 201710
9
Degradation characteristics of quinclorac in homogeneous Co(II)/PMS system
20151
10 20151
11 201582
12 20157
13 201419
14 2014137
15 2014191
16
Response of root border cells to drought stress and their effects on physiological characteristics of roots of black soybean seedlings
20121
17 201126
18
Effect of 1-Methylcyclopropene on the postharvest physiology and storage quality of Xinjiang ‘Xiaobai’ apricots
20091
19
Loss of fragile histidine triad expression in colorectal carcinoma.
20023
20
SWOT Analysis and its Application in an Enterprise
20020

About Mei Zhong

Mei Zhong is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 89 papers that have together received 4.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (11 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers), Genetics and Neurodevelopmental Disorders (7 papers), Prenatal Screening and Diagnostics (6 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Aging (172 citations), Developmental Neuroscience (290 citations) and Molecular Biology (3.3k citations). Mei Zhong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Haifan Lin, Sherman M. Weissman, Yoshiaki Tanaka, In‐Hyun Park, Yangfei Xiang, Toshiaki Watanabe, Benjamin Patterson, Bilal Çakır, Ee-chun Cheng and Duanqing Pei. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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