Mingyi Ju

678 citations
17 papers · 439 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • RNA modifications and cancer 4
    • Epigenetics and DNA Methylation 3
    • Circular RNAs in diseases 2

Mingyi Ju

17 papers receiving 437 citations

Peers

Mingyi Ju
Comparison fields: 5 of 65
  • Cancer Research 150
  • Oncology 143
  • Pulmonary and Respiratory Medicine 170
  • Immunology 101
  • Molecular Biology 301
Replace Jin‐Ling Duan with:
Jin‐Ling Duan China
Wenqing Feng China
Xiangli Jiang China
Fuzhou Tang China
Teming Zhang China
Zhenqian Wu China
Ziyang Di China
Yongfeng Wu China
Fangshi Xu China
Archana Sehrawat United States
Mingyi Ju relative to Jin‐Ling Duan China Jin‐Ling Duan's profile →
Citations per field
00.5×1.5×1.9×
Jin‐Ling Duan · 1×
Citations per year

Countries citing papers authored by Mingyi Ju

Since Specialization
Citations

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

Fields of papers citing papers by Mingyi Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020118
2 202194
3 202289
4 202018
5 202115
6 202314
7 202014
8 202014
9 202113
10 202111
11 202110
12 20238
13 20227
14 20215
15 20245
16 20253
17 20101

About Mingyi Ju

Mingyi Ju is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 17 papers that have together received 439 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Ferroptosis and cancer prognosis (7 papers), RNA modifications and cancer (4 papers), Immunotherapy and Immune Responses (3 papers), Epigenetics and DNA Methylation (3 papers), Circular RNAs in diseases (2 papers), Immune Cell Function and Interaction (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Cancer Research (150 citations), Oncology (143 citations), Pulmonary and Respiratory Medicine (170 citations), Immunology (101 citations) and Molecular Biology (301 citations). Mingyi Ju has collaborated with scholars based in China, Saint Kitts and Nevis and United States. Frequent co-authors include Lin Zhao, Jingyi Fan, Xinyue Song, Minjie Wei, Longyang Jiang, Marcia Bellon, Qian Wei, Christophe Nicot, Qiutong Guan and Minjie Wei. Their work appears in journals such as Pathology & Oncology Research, International Journal of Radiation Oncology*Biology*Physics, Frontiers in Cell and Developmental Biology, Frontiers in Immunology and BMC Cancer.

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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