Yi Que

891 citations
51 papers · 595 indexed · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 10
    • CAR-T cell therapy research 7
    • Lung Cancer Research Studies 6
    • Neuroblastoma Research and Treatments 16

Yi Que

47 papers receiving 588 citations

Peers

Yi Que
Comparison fields: 5 of 68
  • Oncology 347
  • Immunology 139
  • Pulmonary and Respiratory Medicine 208
  • Cancer Research 84
  • Pathology and Forensic Medicine 57
Replace Kyung Han Nam with:
Kyung Han Nam South Korea
Kwang Wook Suh South Korea
Francesca Franzi Italy
Emilie Lavergne France
Shinji Fujii Japan
Junzhou Wu China
Małgorzata Fuksiewicz Poland
Kotaro Hirashima Japan
Phillip Barnette United States
Priyanka Iyer United States
Yi Que relative to Kyung Han Nam South Korea Kyung Han Nam's profile →
Citations per field
00.5×2.6×
Kyung Han Nam · 1×
Citations per year

Countries citing papers authored by Yi Que

Since Specialization
Citations

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

Fields of papers citing papers by Yi Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 202167
3 201556
4 201945
5 201835
6 201826
7 202123
8 202222
9 201820
10 201518
11 202016
12 201914
13 202414
14 201813
15 202111
16 201511
17 202210
18 20229
19 20189
20 20219

About Yi Que

Yi Que is a scholar working on Oncology, Neurology, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 51 papers that have together received 595 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (16 papers), Sarcoma Diagnosis and Treatment (16 papers), Cancer Immunotherapy and Biomarkers (10 papers), Lymphoma Diagnosis and Treatment (7 papers), CAR-T cell therapy research (7 papers), Lung Cancer Research Studies (6 papers), Immune Cell Function and Interaction (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Oncology (347 citations), Immunology (139 citations), Pulmonary and Respiratory Medicine (208 citations), Cancer Research (84 citations) and Pathology and Forensic Medicine (57 citations). Yi Que has collaborated with scholars based in China and United States. Frequent co-authors include Xing Zhang, Yao Liang, Wei Xiao, Yizhuo Zhang, Yuanxiang Guan, Wei Xiao, Yongming Chen, Zhiwei Zhou, Yuanfang Li and Haibo Qiu. Their work appears in journals such as Journal of Clinical Oncology, BMC Cancer, Frontiers in Immunology, Cell Death and Disease and Journal for ImmunoTherapy of Cancer.

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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