Feng Du

658 citations
22 papers · 324 · h-index 11

Impact in

    • Ovarian function and disorders
    • Endometriosis Research and Treatment
    • Ovarian cancer diagnosis and treatment
    • Cancer-related molecular mechanisms research

Papers in

Feng Du

19 papers receiving 324 citations

Peers

Feng Du
Comparison fields: 5 of 69
  • Reproductive Medicine 74
  • Cancer Research 37
  • Immunology 54
  • Nephrology 16
  • Molecular Biology 105
Replace Kengo Yamawaki with:
Kengo Yamawaki Japan
Peishu Liu China
Shuyu Wang China
Makiko Hoshiya United States
Eva Baxter Australia
Jingyu Ma China
Qiuxiao Yu China
Takuma Iguchi Japan
Chenling Meng China
Zhongping Cheng China
Feng Du relative to Kengo Yamawaki Japan Kengo Yamawaki's profile →
Citations per field
00.5×1.5×2×2.3×
Kengo Yamawaki · 1×
Citations per year

Countries citing papers authored by Feng Du

Since Specialization
Citations

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

Fields of papers citing papers by Feng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021114
2 201638
3 201924
4 202022
5 200620
6 201916
7 201415
8 201513
9 201513
10
Cordyceps sinensis attenuates renal fibrosis and suppresses BAG3 induction in obstructed rat kidney.
201513
11 201710
12 20199
13 20215
14
BAG3 regulates ECM accumulation in renal proximal tubular cells induced by TGF-β1.
20154
15 20233
16 20202
17 20241
18 20251
19 20241
20 20230

About Feng Du

Feng Du is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Strategy and Management, having authored 22 papers that have together received 324 indexed citations. Recurring topics across this work include Renal and related cancers (3 papers), Glycosylation and Glycoproteins Research (2 papers), Renal cell carcinoma treatment (2 papers), Digital Platforms and Economics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Sharing Economy and Platforms (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Reproductive Medicine (74 citations), Cancer Research (37 citations), Immunology (54 citations), Nephrology (16 citations) and Molecular Biology (105 citations). Feng Du has collaborated with scholars based in China, Germany and New Zealand. Frequent co-authors include Xiao Liu, Hualin Fan, Xiangcai Wei, Yishan Liu, Hao Liu, Zitao Li, Zhen‐Xian Du, Detian Li, Hua‐Qin Wang and Jianbin Li. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Sustainability, Frontiers in Pharmacology and Experimental Biology and Medicine.

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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