Yunlong Fan

1.3k total citations
46 papers, 1.0k citations indexed

About

Yunlong Fan is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yunlong Fan has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Biomedical Engineering and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yunlong Fan's work include Biosensors and Analytical Detection (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Cancer Cells and Metastasis (4 papers). Yunlong Fan is often cited by papers focused on Biosensors and Analytical Detection (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Cancer Cells and Metastasis (4 papers). Yunlong Fan collaborates with scholars based in China, United States and Canada. Yunlong Fan's co-authors include R P Huang, Eileen D. Adamson, Jianxiong Wu, Min Zheng, Keke Ren, Wenting Wang, Baolin Guo, Chun‐Qiu Dai, Haiying Liu and Yucong Wang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Yunlong Fan

42 papers receiving 981 citations

Peers

Yunlong Fan
Comparison fields: 5 of 107
  • Molecular Biology 522
  • Oncology 179
  • Cancer Research 165
  • Immunology 132
  • Biomedical Engineering 105
Replace Jing Mi with:
Jing Mi China
Xiong Li China
Kewei Liu China
Shuxi Qiao United States
Takashi Ohama Japan
Zhaoyang Wang China
Yanling Yang China
André Luiz Mencalha Brazil
Hailin Zhang China
Jing Mi China View profile →
Citations per field, relative to Yunlong Fan
Yunlong Fan · 1×
Citations per year, relative to Yunlong Fan
Yunlong Fan · 1×

Countries citing papers authored by Yunlong Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlong Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Yunlong Fan. A scholar is included among the top collaborators of Yunlong Fan 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 Yunlong Fan. Yunlong Fan 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
# Work Indexed citations
1 0
2 1
3 0
4 6
5 15
6 17
7 2
8 2
9 7
10 4
11 6
12 5
13 16
14 3
15
Effects of metoprolol on serum inflammatory factors and myocardial ischemia in rats modeled with coronary heart disease.
7
16 4
17 39
18 94
19 20
20 54

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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