Fang Zhao

1.7k citations
44 papers · 1.4k indexed · h-index 18
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3
  • Neurology top 5%
    • Neurofibromatosis and Schwannoma Cases 4
    • Cancer-related gene regulation 5
    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 4
  • Nephrology top 10%
    • Virus-based gene therapy research 3
    • CAR-T cell therapy research 3

Fang Zhao

41 papers receiving 1.4k citations

Peers

Fang Zhao
Comparison fields: 5 of 99
  • Cancer Research 365
  • Cell Biology 223
  • Neurology 199
  • Molecular Biology 762
  • Nephrology 75
Replace Sylvia Kaden with:
Sylvia Kaden Germany
Jinbiao Chen Australia
Xiaoqi Xie China
Jeannick Cizeau Canada
Stéphane Gobeil Canada
Luminita Paraoan United Kingdom
Richard Wassell United States
Xiaowu Xu China
Steven McClellan United States
Guochang Huang United States
Fang Zhao relative to Sylvia Kaden Germany Sylvia Kaden's profile →
Citations per field
00.5×4.5×
Sylvia Kaden · 1×
Citations per year

Countries citing papers authored by Fang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 202262
4 20221
5 202113
6 20205
7 20209
8 20206
9 202069
10 20205
11 202042
12 202015
13 20203
14 2013139
15 201137
16 201131
17 2009150
18 20073
19 200738
20 200341

About Fang Zhao

Fang Zhao is a scholar working on Structural Biology, Molecular Biology and Neurology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Virus-based gene therapy research (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Cancer Research (365 citations), Cell Biology (223 citations) and Neurology (199 citations). Fang Zhao has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Eero Lehtonen, Sanna Lehtonen, Olli Carpén, Leena Heiska, Markku Sainio, Antti Vaheri, Qiao Zhou, Rui Huang, Xueqin Chen and Wentong Meng. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

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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