Pengfei Rong

7.1k citations
163 papers · 5.3k indexed · 2 hit papers · h-index 39
Topics
Nanoplatforms for cancer theranostics (36 papers)Radiomics and Machine Learning in Medical Imaging (20 papers)Photoacoustic and Ultrasonic Imaging (13 papers)

In The Last Decade

Pengfei Rong

151 papers receiving 5.2k citations

Hit Papers

Biodegradable Gold Nanovesicles with an Ultrastrong Plasm...201320262017202120132023200400600

Peers

Pengfei Rong
Comparison fields: 5 of 158
  • Biomedical Engineering 2.6k
  • Molecular Biology 1.5k
  • Materials Chemistry 1.4k
  • Biomaterials 769
  • Radiology, Nuclear Medicine and Imaging 693
Replace Shaoli Song with:
Shaoli Song China
Jian He China
Jaemoon Yang South Korea
Jiansong Ji China
Avnesh S. Thakor United States
Baorui Liu China
Pintong Huang China
Baran D. Sumer United States
Huimao Zhang China
Ben Ouyang Canada
Pengfei Rong relative to Shaoli Song China Shaoli Song's profile →
Citations per field
00.5×1.5×
Shaoli Song · 1×
Citations per year

Countries citing papers authored by Pengfei Rong

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Rong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Rong

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Rong. A scholar is included among the top collaborators of Pengfei Rong 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 Pengfei Rong. Pengfei Rong 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 0
2 2
3 0
4 3
5 0
6 11
7 4
8 1
9 3
10 0
11 1
12 23
13 21
14 1
15 18
16 54
17 6
18 69
19 136
20 2

About Pengfei Rong

Pengfei Rong is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 163 papers that have together received 5.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (36 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Photoacoustic and Ultrasonic Imaging (13 papers). The work is most often cited by research in Biomedical Engineering (2.6k citations), Biomaterials (769 citations) and Health Informatics (77 citations). Pengfei Rong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Wang, Xiaohong Chen, Peng Huang, Zhichao Feng, Wanwan Li, Jing Lin, Gang Niu, Zhe Wang, Shouju Wang and Xiaolian Sun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

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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