Risheng Que

1.5k citations
47 papers · 995 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

Risheng Que

46 papers receiving 974 citations

Peers

Risheng Que
Comparison fields: 5 of 68
  • Cancer Research 397
  • Oncology 389
  • Hepatology 53
  • Transplantation 15
  • Molecular Biology 366
Replace William Berry with:
William Berry United States
Ingrid Garajová Italy
H. J. Illiger Germany
Massimiliano Salati Italy
Richard Létourneau Canada
David Berz United States
Yi‐Peng Fu China
Shunjun Fu China
Hidekazu Kuramochi Japan
Nathan M. Mollberg United States
Risheng Que relative to William Berry United States William Berry's profile →
Citations per field
00.5×7.9×
William Berry · 1×
Citations per year

Countries citing papers authored by Risheng Que

Since Specialization
Citations

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

Fields of papers citing papers by Risheng Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013228
2 2019106
3 201874
4 201668
5 201747
6 201843
7 201538
8 201036
9 201431
10 201929
11 201824
12 201924
13 200818
14 202017
15 202317
16 201515
17 202015
18 202314
19 200813
20 202012

About Risheng Que

Risheng Que is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hepatology, Cancer Research and Surgery, having authored 47 papers that have together received 995 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (19 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer Genomics and Diagnostics (8 papers), Renal cell carcinoma treatment (6 papers), Sarcoma Diagnosis and Treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (397 citations), Oncology (389 citations), Hepatology (53 citations), Transplantation (15 citations) and Molecular Biology (366 citations). Risheng Que has collaborated with scholars based in China, United States and Madagascar. Frequent co-authors include Guoping Ding, Liping Cao, Jionghuang Chen, Shunliang Gao, Tingbo Liang, Xiang Li, Xueli Bai, Liping Cao, Jianying Lou and Tao Ma. Their work appears in journals such as Journal of Clinical Oncology, Cancer Letters, Journal of Zhejiang University SCIENCE B, HPB and Pancreatology.

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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