Fang Wen

1.5k citations
29 papers · 988 indexed · 1 hit paper · h-index 12
Topics
Ferroptosis and cancer prognosis (5 papers)Cancer-related molecular mechanisms research (5 papers)Spine and Intervertebral Disc Pathology (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsRadiology
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Fang Wen

28 papers receiving 972 citations

Hit Papers

Comparative genetic analysis of the novel coronavirus (20...20202026202220242020100200300400500

Peers

Fang Wen
Comparison fields: 5 of 105
  • Infectious Diseases 451
  • Molecular Biology 198
  • Neurology 177
  • Pulmonary and Respiratory Medicine 171
  • Surgery 161
Replace Donghong Yang with:
Donghong Yang China
Qianwen Li China
Lijie Wang China
Yujun Tang China
Qingfeng Ma China
Xiewan Chen China
Yuan Xue China
Fang Wen relative to Donghong Yang China Donghong Yang's profile →
Citations per field
00.5×2.9×
Donghong Yang · 1×
Citations per year

Countries citing papers authored by Fang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wen. A scholar is included among the top collaborators of Fang Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Wen. Fang Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 3
4 31
5 6
6 2
7 2
8 15
9 24
10 7
11 32
12 9
13 33
14
Comparative genetic analysis of the novel coronavirus (2019-nCoV/SARS-CoV-2) receptor ACE2 in different populationsbreakdown →
588
15 6
16
Combining data from TCGA and GEO databases and reverse transcription quantitative PCR validation to identify gene prognostic markers in lung cancer
1
17 86
18 32
19 1
20 8

About Fang Wen

Fang Wen is a scholar working on Cancer Research, Pathology and Forensic Medicine and Critical Care and Intensive Care Medicine, having authored 29 papers that have together received 988 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Cancer-related molecular mechanisms research (5 papers) and Spine and Intervertebral Disc Pathology (4 papers). The work is most often cited by research in Infectious Diseases (451 citations), Neurology (177 citations) and Sensory Systems (44 citations). Fang Wen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Peide Huang, Zhimin Feng, Yanan Cao, Guang Ning, Weiqing Wang, Xiaohui Sun, Lin Li, Xuanlin Huang, Shengqing Wan and Peng Shu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

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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