Libo Yang

1.3k citations
65 papers · 906 · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • Breast Cancer Treatment Studies
    • MicroRNA in disease regulation
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

Libo Yang

60 papers receiving 894 citations

Peers

Libo Yang
Comparison fields: 5 of 103
  • Cancer Research 299
  • Oncology 243
  • Inorganic Chemistry 109
  • Molecular Biology 383
  • Pulmonary and Respiratory Medicine 119
Replace Kazuhide Nakamura with:
Kazuhide Nakamura Japan
Yuting Chen China
Derek J. Erstad United States
Pradeep K. Singh United States
Wen Gu China
Irina Alho Portugal
Hanako Kobayashi United States
Loredana Urso Italy
Ruifeng Li China
Xiangyuan Liu China
Libo Yang relative to Kazuhide Nakamura Japan Kazuhide Nakamura's profile →
Citations per field
00.5×5.3×
Kazuhide Nakamura · 1×
Citations per year

Countries citing papers authored by Libo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Libo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201784
2 202341
3 202034
4 202032
5 202132
6 201831
7 201531
8 202127
9 201627
10 201727
11 201926
12 202426
13 201826
14 201925
15 202324
16 201324
17 201724
18 202224
19 201824
20 201823

About Libo Yang

Libo Yang is a scholar working on Molecular Biology, Oncology, Cancer Research, Inorganic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 906 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (10 papers), Breast Cancer Treatment Studies (10 papers), Metal-Organic Frameworks: Synthesis and Applications (8 papers), Breast Lesions and Carcinomas (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer-related molecular mechanisms research (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Cancer Research (299 citations), Oncology (243 citations), Inorganic Chemistry (109 citations), Molecular Biology (383 citations) and Pulmonary and Respiratory Medicine (119 citations). Libo Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hong Bu, Yan Qiu, Bin Zhao, Ai‐Xin Zhu, Quan‐Qing Xu, Yong Yang, Guoying Zhang, Ru Yan, Ruiqian Li and Shaobin Jia. Their work appears in journals such as CrystEngComm, PLoS ONE, Breast Cancer Research and Treatment, Organic Chemistry Frontiers and Journal of Clinical Pathology.

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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