Zaijun Ma

958 citations
7 papers · 670 · h-index 6

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Metabolomics and Mass Spectrometry Studies
    • Cell death mechanisms and regulation
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation
    • Bioinformatics and Genomic Networks
    • Inflammasome and immune disorders

Papers in

    • CRISPR and Genetic Engineering 2
    • Histone Deacetylase Inhibitors Research 1
    • Inflammasome and immune disorders 1
    • RNA modifications and cancer 1
    • Epigenetics and DNA Methylation 1
    • Genetics, Aging, and Longevity in Model Organisms 2

Zaijun Ma

7 papers receiving 662 citations

Peers

Zaijun Ma
Comparison fields: 5 of 92
  • Aging 56
  • Molecular Biology 525
  • Biological Psychiatry 11
  • Immunology 86
  • Cancer Research 51
Replace Ji Yong Jang with:
Ji Yong Jang South Korea
Ebru S. Selen Alpergin United States
Jaime Jacqueline Jayapalan Malaysia
Oksana Apanasets Belgium
Isabelle Guillas France
Elizabeth Calzada United States
Hüseyin Çimen United States
Xun Shi China
Lucie Larigot France
Hua Zheng China
Zaijun Ma relative to Ji Yong Jang South Korea Ji Yong Jang's profile →
Citations per field
00.5×1.5×2.2×
Ji Yong Jang · 1×
Citations per year

Countries citing papers authored by Zaijun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zaijun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2019262
2 2018152
3 201898
4 202180
5 201543
6 201932
7 20193

About Zaijun Ma

Zaijun Ma is a scholar working on Molecular Biology, Aging, Surgery, Epidemiology and Immunology, having authored 7 papers that have together received 670 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Histone Deacetylase Inhibitors Research (1 paper), Immune Response and Inflammation (1 paper), Tissue Engineering and Regenerative Medicine (1 paper), Inflammasome and immune disorders (1 paper), RNA modifications and cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (56 citations), Molecular Biology (525 citations), Biological Psychiatry (11 citations), Immunology (86 citations) and Cancer Research (51 citations). Zaijun Ma has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Nan Liu, Yuping Cai, Zheng‐Jiang Zhu, Xiaotao Shen, Yandong Yin, Xin Xiong, Ruohong Wang, Bing Shan, Xiaojuan Lu and Wei Liang. Their work appears in journals such as Nature Communications, eLife, Journal of Proteome Research, Cell Death and Disease and Development.

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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