Mao-Bin Meng

845 citations
17 papers · 628 indexed · h-index 13

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
  • Oncology top 10%
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

Mao-Bin Meng

16 papers receiving 624 citations

Peers

Mao-Bin Meng
Comparison fields: 5 of 67
  • Radiation 100
  • Oncology 261
  • Cancer Research 122
  • Pulmonary and Respiratory Medicine 255
  • Hepatology 61
Replace Huan-Huan Wang with:
Huan-Huan Wang China
Yong-Wen Song China
Stephanie Markovina United States
Jakob Liermann Germany
L. Chinsoo Cho United States
Lu‐Jun Zhao China
Guenther Gruber Switzerland
Renben Wang China
W. Mai United States
Cyrus Amir United States
Mao-Bin Meng relative to Huan-Huan Wang China Huan-Huan Wang's profile →
Citations per field
00.5×1.5×2.3×
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-authorship network

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 20250
2 202134
3 2020121
4 201834
5 20174
6 201669
7 201622
8 201667
9 20154
10 201524
11 201515
12 201458
13 201434
14 201418
15 201458
16 20138
17 201358

About Mao-Bin Meng

Mao-Bin Meng is a scholar working on Otorhinolaryngology, Radiation, Oncology, Hepatology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 628 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Research Studies (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Advanced Radiotherapy Techniques (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Radiation (100 citations), Oncology (261 citations), Cancer Research (122 citations), Pulmonary and Respiratory Medicine (255 citations) and Hepatology (61 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, Eric J. Lehrer, Shankar Siva, Daniel M. Trifiletti and Ping Wang. Their work appears in journals such as Oncotarget, OncoTargets and Therapy, Cancer Letters, International Journal of Radiation Oncology*Biology*Physics and Radiotherapy and Oncology.

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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