Xinying Su

2.2k citations
33 papers · 718 · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

Xinying Su

32 papers receiving 712 citations

Peers

Xinying Su
Comparison fields: 5 of 77
  • Cancer Research 127
  • Oncology 221
  • Gastroenterology 36
  • Pulmonary and Respiratory Medicine 180
  • Molecular Biology 329
Replace Satoshi Takatsuka with:
Satoshi Takatsuka Japan
Hideaki Mabuchi Japan
Pin-Wen Lin Taiwan
Irene Lurkin Netherlands
Qimin He Sweden
Mihaela Chivu‐Economescu Romania
Gloria Marquina Spain
Kunitoshi Shigeyasu Japan
Michele Quaia Italy
Xinmin Zhao China
Xinying Su relative to Satoshi Takatsuka Japan Satoshi Takatsuka's profile →
Citations per field
00.5×10×20×32×
Satoshi Takatsuka · 1×
Citations per year

Countries citing papers authored by Xinying Su

Since Specialization
Citations

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

Fields of papers citing papers by Xinying Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013196
2 201364
3 201462
4 201237
5 201429
6 202327
7 201526
8 201526
9 201526
10 200625
11 201322
12 201322
13 199821
14 201617
15 201516
16 201314
17 200114
18 201412
19 199912
20 20137

About Xinying Su

Xinying Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Genetics, having authored 33 papers that have together received 718 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Fibroblast Growth Factor Research (5 papers), Lung Cancer Treatments and Mutations (4 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Research and Treatments (3 papers), BRCA gene mutations in cancer (2 papers), Kruppel-like factors research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (127 citations), Oncology (221 citations), Gastroenterology (36 citations), Pulmonary and Respiratory Medicine (180 citations) and Molecular Biology (329 citations). Xinying Su has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Paul R. Gavine, Qunsheng Ji, Xiaolu Yin, Jingchuan Zhang, Liang Xie, Shuqiong Fan, Lianhai Zhang, Lili Tang, Minhua Zhou and Jiafu Ji. Their work appears in journals such as PLoS ONE, Cancer Research, Journal of Clinical Oncology, Genes Chromosomes and Cancer and Clinical Cancer Research.

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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