Chunxia Su

7.5k citations
182 papers · 4.6k · h-index 38

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 47
    • Lung Cancer Research Studies 23
    • Colorectal Cancer Treatments and Studies 10
    • Peptidase Inhibition and Analysis 6
    • Lung Cancer Treatments and Mutations 57
    • Lung Cancer Diagnosis and Treatment 12

Chunxia Su

169 papers receiving 4.6k citations

Peers

Chunxia Su
Comparison fields: 5 of 111
  • Oncology 1.9k
  • Pulmonary and Respiratory Medicine 1.8k
  • Cancer Research 759
  • Immunology 452
  • Molecular Biology 1.1k
Replace Sarah B. Goldberg with:
Sarah B. Goldberg United States
Kunyu Yang China
Dong Gao China
Suxia Luo China
Yayi He China
Paulette Mhawech‐Fauceglia United States
Luca Roz Italy
Jake S. O’Donnell Australia
April K.S. Salama United States
Kathleen M. Mahoney United States
Chunxia Su relative to Sarah B. Goldberg United States Sarah B. Goldberg's profile →
Citations per field
00.5×1.5×
Sarah B. Goldberg · 1×
Citations per year

Countries citing papers authored by Chunxia Su

Since Specialization
Citations

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

Fields of papers citing papers by Chunxia Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019249
2 2020187
3 2013161
4 2019134
5 2019125
6 2021121
7 2011114
8 2016111
9 201898
10 202090
11 202188
12 201987
13 201986
14 201975
15 201370
16 201669
17 201867
18 201965
19 201865
20 201464

About Chunxia Su

Chunxia Su is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Immunology, having authored 182 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (57 papers), Cancer Immunotherapy and Biomarkers (47 papers), Lung Cancer Research Studies (23 papers), Lung Cancer Diagnosis and Treatment (12 papers), Colorectal Cancer Treatments and Studies (10 papers), Cancer Genomics and Diagnostics (8 papers), Immunotherapy and Immune Responses (7 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Oncology (1.9k citations), Pulmonary and Respiratory Medicine (1.8k citations), Cancer Research (759 citations), Immunology (452 citations) and Molecular Biology (1.1k citations). Chunxia Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengxiang Ren, Xuefei Li, Chao Zhao, Tao Jiang, Xiaoxia Chen, Fei Zhou, Guanghui Gao, Caicun Zhou, Caicun Zhou and Caicun Zhou. Their work appears in journals such as Lung Cancer, Translational Lung Cancer Research, Journal of Thoracic Oncology, Frontiers in Oncology and Journal of Clinical 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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