Xi Ding

518 citations
32 papers · 376 indexed · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Immunotherapy and Biomarkers

Papers in

Xi Ding

31 papers receiving 368 citations

Peers

Xi Ding
Comparison fields: 5 of 78
  • Cancer Research 104
  • Oncology 104
  • Pulmonary and Respiratory Medicine 113
  • Molecular Biology 203
  • Biomaterials 23
Replace Aimin Zang with:
Aimin Zang China
Zhaoliang Liu China
Dechun Liu China
Xianying Meng China
Hongxing Huang China
Katherine D. Castle United States
Dain Kim South Korea
Quanjun Lin China
Simona Ruxandra Volovăț Romania
Xi Ding relative to Aimin Zang China Aimin Zang's profile →
Citations per field
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Aimin Zang · 1×
Citations per year

Countries citing papers authored by Xi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20248
3 20249
4 20247
5 20220
6 202012
7 202011
8 201914
9 201818
10 201720
11 201714
12 201716
13 201615
14 20167
15 201615
16
Genetic variants of BCL2 gene predict clinical outcomes of non-small-cell lung cancer patients treated with platinum-based chemotherapy in a Chinese population.
20162
17 20168
18 20161
19 20157
20 20142

About Xi Ding

Xi Ding is a scholar working on Applied Microbiology and Biotechnology, Cancer Research, Oncology, Biochemistry and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 376 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Lung Cancer Research Studies (4 papers), MicroRNA in disease regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer therapeutics and mechanisms (3 papers), Peptidase Inhibition and Analysis (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Cancer Research (104 citations), Oncology (104 citations), Pulmonary and Respiratory Medicine (113 citations), Molecular Biology (203 citations) and Biomaterials (23 citations). Xi Ding has collaborated with scholars based in China and United States. Frequent co-authors include Bo Su, Di Liu, Wen Xu, Wen Xu, Yifeng Sun, Wen Gao, Tao Jiang, Jingyun Shi, Xuefei Li and Chao Zhao. Their work appears in journals such as Clinical & Translational Oncology, Journal of Cancer, Molecular Carcinogenesis, Applied Physics Letters and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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