Ludi Yang

949 citations
40 papers · 636 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • COVID-19 and healthcare impacts
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 5
    • Cancer Cells and Metastasis 3
    • Epigenetics and DNA Methylation 6
    • Ubiquitin and proteasome pathways 5

Ludi Yang

35 papers receiving 632 citations

Peers

Ludi Yang
Comparison fields: 5 of 78
  • Cancer Research 232
  • Oncology 243
  • Ophthalmology 53
  • Molecular Biology 339
  • Immunology 80
Replace Lijun Mao with:
Lijun Mao China
Maria Chiara Scaini Italy
Qunxing Li China
James Monkman Australia
Vito Alessandro Lasorsa Italy
Hongxia Li China
Sylvia Metzner Germany
Gaoxiang Wang China
Xiujin Ye China
Yao Xue China
Ludi Yang relative to Lijun Mao China Lijun Mao's profile →
Citations per field
00.5×3.4×
Lijun Mao · 1×
Citations per year

Countries citing papers authored by Ludi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ludi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202182
2 202380
3 202359
4 202256
5 202143
6 201835
7 202134
8 202029
9 202129
10 201927
11 202026
12 202123
13 202114
14 202213
15 20219
16 20228
17 20218
18 20168
19 20237
20 20245

About Ludi Yang

Ludi Yang is a scholar working on Oncology, Molecular Biology, Ophthalmology, Cancer Research and Epidemiology, having authored 40 papers that have together received 636 indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (10 papers), Epigenetics and DNA Methylation (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (5 papers), Cancer-related molecular mechanisms research (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer Cells and Metastasis (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). The work is most often cited by research in Cancer Research (232 citations), Oncology (243 citations), Ophthalmology (53 citations), Molecular Biology (339 citations) and Immunology (80 citations). Ludi Yang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xianqun Fan, Peiwei Chai, Jie Yu, Shengfang Ge, Xiang Gu, Ai Zhuang, Jing Ruan, Renbing Jia, Huaizhi Wang and Ruobing Jia. Their work appears in journals such as Frontiers in Oncology, Frontiers in Cell and Developmental Biology, International Journal of Radiation Oncology*Biology*Physics, Small Methods and British Journal of Ophthalmology.

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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