Qianya Qi

1.5k total citations
25 papers, 1.1k citations indexed

About

Qianya Qi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Qianya Qi has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Qianya Qi's work include Cancer Immunotherapy and Biomarkers (9 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer Genomics and Diagnostics (5 papers). Qianya Qi is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer Genomics and Diagnostics (5 papers). Qianya Qi collaborates with scholars based in United States, Japan and China. Qianya Qi's co-authors include Kazuaki Takabe, Li Yan, Xuan Peng, Tsutomu Kawaguchi, Jessica Young, Sumana Narayanan, Song Liu, Eriko Katsuta, Eigo Otsuji and Mariko Asaoka and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Scientific Reports.

In The Last Decade

Qianya Qi

25 papers receiving 1.1k citations

Peers

Qianya Qi
Comparison fields: 5 of 78
  • Oncology 563
  • Molecular Biology 530
  • Cancer Research 434
  • Pulmonary and Respiratory Medicine 283
  • Immunology 227
Replace Mutsuko Yamamoto‐Ibusuki with:
Mutsuko Yamamoto‐Ibusuki Japan
W. H. Tian China
Sufei Zheng China
Mikkel G. Terp Denmark
Thehang Luu United States
Shaveta Vinayak United States
Lesley Mathews United States
Tobias Anzeneder Germany
Jeff C. Liu Canada
Zhi-Ming Shao China
Mutsuko Yamamoto‐Ibusuki Japan View profile →
Citations per field, relative to Qianya Qi
Qianya Qi · 1×
Citations per year, relative to Qianya Qi
Qianya Qi · 1×

Countries citing papers authored by Qianya Qi

Since Specialization
Citations

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

Fields of papers citing papers by Qianya Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianya Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Qianya Qi. A scholar is included among the top collaborators of Qianya Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qianya Qi. Qianya Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Immune cytolytic activity is associated with reduced intra-tumoral genetic heterogeneity and with better clinical outcomes in triple negative breast cancer.
20
2 3
3 9
4 59
5 2
6 31
7 59
8 97
9 129
10 88
11 67
12 61
13 27
14 33
15 117
16 6
17 77
18 53
19 64
20 44

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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