Chuangang Fu

1.9k citations
86 papers · 1.2k indexed · h-index 21

Chuangang Fu

82 papers receiving 1.2k citations

Peers

Chuangang Fu
Comparison fields: 5 of 90
  • Oncology 593
  • Cancer Research 289
  • Surgery 390
  • Pathology and Forensic Medicine 119
  • Molecular Biology 446
Replace Ivana Cataldo with:
Ivana Cataldo Italy
Gunnar Arbman Sweden
Joo Heon Kim South Korea
Tatsunari Fukuoka Japan
M Moorghen United Kingdom
Étienne Buscail France
Yasuji Yoshikawa Japan
Sara Vander Borght Belgium
Hirofumi Kubota Japan
Chuangang Fu relative to Ivana Cataldo Italy Ivana Cataldo's profile →
Citations per field
00.5×1.5×2.1×
Ivana Cataldo · 1×
Citations per year

Countries citing papers authored by Chuangang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chuangang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202323
2 202138
3 20201
4 202017
5
[Protective measures in laparoscopic resection for upper or mid rectal cancer and sigmoid colon cancer with transrectal specimen extraction surgery].
20171
6 201712
7 201714
8 20154
9 201553
10 20143
11 201418
12 201425
13 201427
14 201314
15 201342
16 201259
17
[Preliminary study on relationship between multi-drug resistance-associated protein 4 and radiosensitivity of rectal cancer].
20112
18
[Lymph node metastasis and its risk factors in T1-2 staging invasive rectal carcinoma].
20102
19 201012
20
[Transsacral resection for presacral tumors].
20091

About Chuangang Fu

Chuangang Fu is a scholar working on Oncology, Cancer Research and Gastroenterology, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (31 papers), Colorectal and Anal Carcinomas (18 papers), Colorectal Cancer Screening and Detection (13 papers), Gastric Cancer Management and Outcomes (11 papers), Genetic factors in colorectal cancer (10 papers), Colorectal Cancer Treatments and Studies (9 papers), Cancer-related molecular mechanisms research (8 papers) and Anorectal Disease Treatments and Outcomes (6 papers). The work is most often cited by research in Oncology (593 citations), Cancer Research (289 citations) and Surgery (390 citations). Chuangang Fu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Wei Zhang, Guangwen Cao, Lianjie Liu, Xianhua Gao, Junjie Xing, Enda Yu, Hao Wang, Zhi‐Jie Cong, Wenjun Chang and Xiaodong Xu. Their work appears in journals such as PLoS ONE, Oncogene and Gut.

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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