Benyan Wu

1.1k citations
44 papers · 886 · h-index 16

Impact in

Papers in

Benyan Wu

43 papers receiving 866 citations

Peers

Benyan Wu
Comparison fields: 5 of 92
  • Immunology 267
  • Radiology, Nuclear Medicine and Imaging 217
  • Gastroenterology 42
  • Cancer Research 110
  • Oncology 174
Replace Paula Borralho with:
Paula Borralho Portugal
Solange Romagnoli Italy
Nicholas K. Brown United States
Yoshihisa Shibata Japan
Sabine Strommer Austria
Xin Song China
Qianjin Lu China
Maria Carme Masamunt Spain
Núria Planell Spain
Takahisa Kayahara Japan
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Citations per field
00.5×3.5×
Paula Borralho · 1×
Citations per year

Countries citing papers authored by Benyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Benyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001244
2 2010123
3 201563
4 200948
5 200844
6 201242
7 201639
8 201725
9 201621
10 201720
11 201617
12 201217
13 200917
14 201317
15 200916
16 201315
17 201313
18
In vivo transplantation of bone marrow mesenchymal stem cells accelerates repair of injured gastric mucosa in rats.
201211
19 201110
20
Effect of splenectomy on CCl4-induced liver fibrosis in rats.
199810

About Benyan Wu

Benyan Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 886 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (6 papers), Mesenchymal stem cell research (5 papers), Cancer Research and Treatments (5 papers), Cancer-related molecular mechanisms research (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Effects of Radiation Exposure (4 papers), Cancer-related gene regulation (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Immunology (267 citations), Radiology, Nuclear Medicine and Imaging (217 citations), Gastroenterology (42 citations), Cancer Research (110 citations) and Oncology (174 citations). Benyan Wu has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Mengwei Wang, Caroline Robert, Richard S. Blumberg, Emiko Mizoguchi, Gang Meng, Bonny L. Dickinson, Lili Miao, Phillip D. Smith, Xiaotong Li and Wayne I. Lencer. Their work appears in journals such as Human Gene Therapy, Medicine, Oncology Reports, Journal of Leukocyte Biology and Diagnostic Pathology.

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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