Yanan Ming

591 citations
13 papers · 299 · 1 hit paper · h-index 10

Impact in

    • Hepatocellular Carcinoma Treatment and Prognosis
  • Pharmacology top 10%
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Liver Disease Diagnosis and Treatment 5
    • Drug Transport and Resistance Mechanisms 3
    • CAR-T cell therapy research 2

Yanan Ming

13 papers receiving 298 citations

Yanan Ming's Hit Papers

Cellular metabolism regulates the differentiation and function of T-cell subsets 2024 · 74 citations
740+1Years since publication204060

Peers

Yanan Ming
Comparison fields: 5 of 70
  • Hepatology 48
  • Pharmacology 45
  • Immunology 68
  • Cancer Research 41
  • Epidemiology 87
Replace Baolin Qian with:
Baolin Qian China
Ming–Heng Wu Taiwan
Yoichiro Takami Japan
Lucía Barbier‐Torres United States
Liang‐yun Li China
Kan Toriguchi Japan
Laura Ruíz-Cañas Spain
Yangqiu Bai China
Fengjie Hao China
Michael Pimienta United States
Yanan Ming relative to Baolin Qian China Baolin Qian's profile →
Citations per field
00.5×10×
Baolin Qian · 1×
Citations per year

Countries citing papers authored by Yanan Ming

Since Specialization
Citations

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

Fields of papers citing papers by Yanan Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Cellular metabolism regulates the differentiation and function of T-cell subsets
Hit paper breakdown →
202474
2 201730
3 201628
4 201727
5 202326
6 201525
7 201723
8 202217
9 201815
10 201514
11 20199
12 20227
13 20224

About Yanan Ming

Yanan Ming is a scholar working on Epidemiology, Oncology, Molecular Biology, Pharmacology and Immunology, having authored 13 papers that have together received 299 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Immune Cell Function and Interaction (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), CAR-T cell therapy research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hepatology (48 citations), Pharmacology (45 citations), Immunology (68 citations), Cancer Research (41 citations) and Epidemiology (87 citations). Yanan Ming has collaborated with scholars based in China, Germany and Poland. Frequent co-authors include Sicong Ma, Guoliang Cui, Minde Zeng, Xiaoyu Chen, Xiaobo Li, Chunmin Li, Yimin Mao, Jingyi Zhang, Xiaolin Liu and Xiaohong Lei. Their work appears in journals such as Cellular and Molecular Immunology, Cells, Experimental & Molecular Medicine, Journal of Cancer Research and Clinical Oncology and Lipids in Health and Disease.

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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