Mao-Bin Meng

861 citations
17 papers · 641 · h-index 13

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Cancer, Hypoxia, and Metabolism

Papers in

Mao-Bin Meng

17 papers receiving 637 citations

Peers

Mao-Bin Meng
Comparison fields: 5 of 64
  • Oncology 183
  • Cancer Research 94
  • Hepatology 48
  • Pulmonary and Respiratory Medicine 170
  • Radiation 49
Replace Huan-Huan Wang with:
Huan-Huan Wang China
Daniel Buergy Germany
Jakob Liermann Germany
Irini Karapanagiotou‐Schenkel Germany
Guang Li China
S. Ménard Canada
Renben Wang China
Jun Sakakibara‐Konishi Japan
W. Mai United States
Kazutoshi Murata Japan
Mao-Bin Meng relative to Huan-Huan Wang China Huan-Huan Wang's profile →
Citations per field
00.5×2.5×
Huan-Huan Wang · 1×
Citations per year

Countries citing papers authored by Mao-Bin Meng

Since Specialization
Citations

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

Fields of papers citing papers by Mao-Bin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020124
2 201670
3 201667
4 201360
5 201459
6 201458
7 202137
8 201435
9 201834
10 201524
11 201622
12 201418
13 201515
14 20138
15 20155
16 20174
17 20251

About Mao-Bin Meng

Mao-Bin Meng is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Epidemiology and Cancer Research, having authored 17 papers that have together received 641 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Research Studies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Cell death mechanisms and regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Angiogenesis and VEGF in Cancer (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (183 citations), Cancer Research (94 citations), Hepatology (48 citations), Pulmonary and Respiratory Medicine (170 citations) and Radiation (49 citations). Mao-Bin Meng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nicholas G. Zaorsky, Zhiyong Yuan, Huan-Huan Wang, Lu‐Jun Zhao, Lei Deng, Chao Jiang, Daniel M. Trifiletti, Shankar Siva, Eric J. Lehrer and Ping Wang. Their work appears in journals such as Oncotarget, OncoTargets and Therapy, Cancer Letters, Frontiers in Immunology and International Journal of Radiation Oncology*Biology*Physics.

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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