Fangrong Yan

3.5k citations
108 papers · 1.5k indexed · h-index 20
Topics
Statistical Methods in Clinical Trials (32 papers)Optimal Experimental Design Methods (18 papers)Cancer-related molecular mechanisms research (11 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Fangrong Yan

98 papers receiving 1.4k citations

Peers

Fangrong Yan
Comparison fields: 5 of 130
  • Molecular Biology 537
  • Pulmonary and Respiratory Medicine 367
  • Statistics and Probability 327
  • Cancer Research 313
  • Oncology 254
Replace Dinesh P. de Alwis with:
Dinesh P. de Alwis United States
Alexei Dmitrienko United States
Robert Gagnon United States
Tomoyuki Sugimoto Japan
Weichung Shih United States
Mark Sale United States
Ji Lin United States
Frank Pétavy Netherlands
Michael Branson Switzerland
Jin Y. Jin United States
Fangrong Yan relative to Dinesh P. de Alwis United States Dinesh P. de Alwis's profile →
Citations per field
00.5×1.5×2.3×
Dinesh P. de Alwis · 1×
Citations per year

Countries citing papers authored by Fangrong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fangrong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangrong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Fangrong Yan. A scholar is included among the top collaborators of Fangrong Yan 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 Fangrong Yan. Fangrong Yan 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 2
2 0
3 1
4 5
5 21
6 1
7 9
8 1
9 1
10 4
11 105
12 6
13 25
14 80
15 7
16 20
17 5
18 108
19 62
20 3

About Fangrong Yan

Fangrong Yan is a scholar working on Statistics and Probability, Cancer Research and Management Science and Operations Research, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (32 papers), Optimal Experimental Design Methods (18 papers) and Cancer-related molecular mechanisms research (11 papers). The work is most often cited by research in Statistics and Probability (327 citations), Cancer Research (313 citations) and Management Science and Operations Research (171 citations). Fangrong Yan has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiaofan Lu, Ying Yuan, Liyun Jiang, Yujie Zhou, Jialin Meng, Sumithra J. Mandrekar, Yang Wang, Xinjia Ruan, Yue Zhu and Liya Zhang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

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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