Ya-Ming Meng

665 citations
10 papers · 404 · h-index 8

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Metabolism, Diabetes, and Cancer 1
    • Pancreatic and Hepatic Oncology Research 2
    • Chemokine receptors and signaling 2

Ya-Ming Meng

10 papers receiving 400 citations

Peers

Ya-Ming Meng
Comparison fields: 5 of 51
  • Cancer Research 115
  • Immunology 127
  • Oncology 152
  • Hepatology 27
  • Obstetrics and Gynecology 25
Replace T Ogawa with:
T Ogawa Japan
Na Zhou China
Eun Ji Choi South Korea
Yanling Fan China
Tongmei Zhang China
Alexander Hamm Germany
Mitsuyo Yoshida Japan
Isabella Y. Fan Canada
Meng Xie China
Militsa Rakina Russia
Ya-Ming Meng relative to T Ogawa Japan T Ogawa's profile →
Citations per field
00.5×10×13.4×
T Ogawa · 1×
Citations per year

Countries citing papers authored by Ya-Ming Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Ming Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019135
2 202182
3 201742
4 201738
5 202133
6 202033
7 202223
8 202310
9 20235
10 20233

About Ya-Ming Meng

Ya-Ming Meng is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Pathology and Forensic Medicine, having authored 10 papers that have together received 404 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Immune cells in cancer (2 papers), Chemokine receptors and signaling (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Phagocytosis and Immune Regulation (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (115 citations), Immunology (127 citations), Oncology (152 citations), Hepatology (27 citations) and Obstetrics and Gynecology (25 citations). Ya-Ming Meng has collaborated with scholars based in China and United States. Frequent co-authors include Xing-Juan Yu, Limin Zheng, Jing Xu, Ping‐Pui Wong, Xiangzhan Kong, Chao Liu, Qiong Meng, Chaoqun Liu, Xinbao Zhao and Yaojun Zhang. Their work appears in journals such as Clinical Cancer Research, Journal of Translational Medicine, Molecular Therapy — Oncolytics, Cancer Letters and Nature Communications.

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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