Cong Fu

867 citations
55 papers · 591 · 1 hit paper · h-index 13

Impact in

Papers in

Cong Fu

48 papers receiving 584 citations

Cong Fu's Hit Papers

Blood–Brain Barrier‐Penetrating and Lesion‐Targeting Nanoplatforms Inspired by the Pathophysiological Features for Synergistic Ischemic Stroke Therapy 2024 · 80 citations
800+1Years since publication255075

Peers

Cong Fu
Comparison fields: 5 of 110
  • Pharmaceutical Science 32
  • Biomaterials 68
  • Biomedical Engineering 191
  • Immunology 78
  • Radiological and Ultrasound Technology 16
Replace Ming Ren with:
Ming Ren China
Hongying Chen China
Jinlong Zhao China
Xia Wei China
Randa Zein United States
Hadi Karami Iran
Xiaoxiao Li China
Ge Guan China
Cong Huang China
Cong Fu relative to Ming Ren China Ming Ren's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023115
2
Blood–Brain Barrier‐Penetrating and Lesion‐Targeting Nanoplatforms Inspired by the Pathophysiological Features for Synergistic Ischemic Stroke Therapy
Hit paper breakdown →
202480
3 202446
4 202440
5 202335
6 202427
7 200625
8 202224
9 202423
10 202523
11 202517
12 201713
13 202313
14 202310
15 202410
16 20238
17 20087
18 20226
19 20256
20 20255

About Cong Fu

Cong Fu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Immunology and Mechanical Engineering, having authored 55 papers that have together received 591 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Immune cells in cancer (3 papers), High-Voltage Power Transmission Systems (3 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Urban Transport and Accessibility (2 papers), HVDC Systems and Fault Protection (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Pharmaceutical Science (32 citations), Biomaterials (68 citations), Biomedical Engineering (191 citations), Immunology (78 citations) and Radiological and Ultrasound Technology (16 citations). Cong Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hening Liu, Yue Yin, Yuqi Cao, Lu Tang, Wei Wang, Jingwen Feng, Xing‐Jie Liang, Jifan Gao, Jingwen Feng and Zixuan Li. Their work appears in journals such as Advanced Materials, Nano Letters, BMC Bioinformatics, Advanced Healthcare Materials and Journal of Manufacturing Processes.

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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