Fangfang Ren

1.5k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 10
Topics
Hippo pathway signaling and YAP/TAZ (5 papers)Invertebrate Immune Response Mechanisms (2 papers)Cardiac Fibrosis and Remodeling (2 papers)

In The Last Decade

Fangfang Ren

19 papers receiving 1.2k citations

Hit Papers

The TEAD/TEF Family of Transcription Factor Scalloped Med...20082026201420202008100200300400500

Peers

Fangfang Ren
Comparison fields: 5 of 80
  • Cell Biology 750
  • Molecular Biology 652
  • Immunology 229
  • Cellular and Molecular Neuroscience 164
  • Insect Science 84
Replace Yusuke Sekine with:
Yusuke Sekine Japan
Kalyani Guntur United States
Fernanda Lisbona Chile
Amado Carreras‐Sureda Switzerland
Irina Dobrosotskaya United States
Tomás Aragón Spain
Katja Gotthardt Germany
Andrea Cabibbo Italy
Mireille Vasseur-Cognet France
Anne Beskow Sweden
Fangfang Ren relative to Yusuke Sekine Japan Yusuke Sekine's profile →
Citations per field
00.5×3.4×
Yusuke Sekine · 1×
Citations per year

Countries citing papers authored by Fangfang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Ren. A scholar is included among the top collaborators of Fangfang Ren 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 Fangfang Ren. Fangfang Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 12
3 1
4 48
5 3
6 1
7 51
8 4
9 13
10 25
11 7
12 7
13 25
14 9
15 2
16 50
17 253
18 150
19
The TEAD/TEF Family of Transcription Factor Scalloped Mediates Hippo Signaling in Organ Size Controlbreakdown →
529

About Fangfang Ren

Fangfang Ren is a scholar working on Cell Biology, Otorhinolaryngology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Invertebrate Immune Response Mechanisms (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Cell Biology (750 citations), Aging (25 citations) and Immunology (229 citations). Fangfang Ren has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Jin Jiang, Bing Wang, Yongbin Chen, Lei Zhang, Qing Zhang, Lei Zhang, Y. Tony Ip, Eun-Young Yun, Tao Yue and Lianpin Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.

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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