Li-Bo Tang

406 citations
15 papers · 215 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing

Papers in

Li-Bo Tang

12 papers receiving 214 citations

Peers

Li-Bo Tang
Comparison fields: 5 of 49
  • Cancer Research 105
  • Molecular Biology 120
  • Neurology 19
  • Pulmonary and Respiratory Medicine 35
  • Oncology 21
Replace Chantal Hoi Yin Cheung with:
Chantal Hoi Yin Cheung Taiwan
Zenan Zheng China
Yunjin Li China
Mohammad Sarfi Iran
Yue Cheng China
Chenchen Hu China
Junhao Yin China
Kurataka Otsuka Japan
Jingjing Ding China
Li-Bo Tang relative to Chantal Hoi Yin Cheung Taiwan Chantal Hoi Yin Cheung's profile →
Citations per field
00.5×1.5×2.3×
Chantal Hoi Yin Cheung · 1×
Citations per year

Countries citing papers authored by Li-Bo Tang

Since Specialization
Citations

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

Fields of papers citing papers by Li-Bo Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Bo Tang. 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 Li-Bo Tang. The network helps show where Li-Bo Tang may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202068
2 201945
3 202130
4 202023
5 202310
6 20219
7 20258
8 20238
9 20205
10 20214
11 20233
12 20212
13 20240
14 20240
15 20250

About Li-Bo Tang

Li-Bo Tang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Infectious Diseases, having authored 15 papers that have together received 215 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Lung Cancer Research Studies (2 papers), Cancer Genomics and Diagnostics (2 papers), COVID-19 and healthcare impacts (2 papers), Circular RNAs in diseases (2 papers), Lung Cancer Treatments and Mutations (2 papers), MicroRNA in disease regulation (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (105 citations), Molecular Biology (120 citations), Neurology (19 citations), Pulmonary and Respiratory Medicine (35 citations) and Oncology (21 citations). Li-Bo Tang has collaborated with scholars based in China and United States. Frequent co-authors include Lixia Xiong, Xingning Lai, Wen‐Tong Chen, Lei Zhang, Qing-Yun Huang, Guofeng Liu, Xianling Qian, Chuangye Han, Shuqi Zhao and Dalang Fang. Their work appears in journals such as Cancers, Clinica Chimica Acta, Current Molecular Medicine, Translational Lung Cancer Research and International Journal of Medical Sciences.

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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