Funan Qiu

818 citations
32 papers · 593 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism

Papers in

Funan Qiu

32 papers receiving 592 citations

Peers

Funan Qiu
Comparison fields: 5 of 71
  • Hepatology 183
  • Cancer Research 241
  • Oncology 126
  • Biochemistry 28
  • Molecular Biology 239
Replace Quentin Bayard with:
Quentin Bayard France
Hiroyuki Nojima Japan
Yadi Liao China
Weiqing Shao China
Daofeng Zheng China
Shinya Tsurusaki Australia
Bijun Qiu China
Tianyi Chi China
Nguyen H. Tran United States
Yifeng Tao China
Funan Qiu relative to Quentin Bayard France Quentin Bayard's profile →
Citations per field
00.5×1.5×2.1×
Quentin Bayard · 1×
Citations per year

Countries citing papers authored by Funan Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Funan Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 201686
3 201980
4 201744
5 202233
6 201627
7 202222
8 201921
9 202019
10 202117
11 202216
12 201816
13 201811
14 201711
15 202110
16 20209
17 20218
18 20098
19 20217
20 20236

About Funan Qiu

Funan Qiu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Surgery, having authored 32 papers that have together received 593 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cancer-related molecular mechanisms research (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), RNA modifications and cancer (5 papers), Gallbladder and Bile Duct Disorders (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Hepatology (183 citations), Cancer Research (241 citations), Oncology (126 citations), Biochemistry (28 citations) and Molecular Biology (239 citations). Funan Qiu has collaborated with scholars based in China and United States. Frequent co-authors include Yifeng Tian, Mao-Lin Yan, Songqiang Zhou, Shi Chen, Yannan Bai, Jiayi Wu, Jianyin Zhou, Yufeng Chen, Bin Li and Yinan Li. Their work appears in journals such as Surgery, Frontiers in Oncology, Oncotarget, World Journal of Gastroenterology and Clinica Chimica Acta.

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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