Junjiang Fu

7.0k citations
189 papers · 4.9k · h-index 36

Impact in

Papers in

    • Ubiquitin and proteasome pathways 12
    • Epigenetics and DNA Methylation 12
    • Retinal Development and Disorders 12
    • Genetic diversity and population structure 21
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 11

Junjiang Fu

178 papers receiving 4.8k citations

Peers

Junjiang Fu
Comparison fields: 5 of 131
  • Toxicology 228
  • Cancer Research 933
  • Complementary and alternative medicine 502
  • Oncology 958
  • Molecular Biology 2.6k
Replace Altaf A. Wani with:
Altaf A. Wani United States
Ramzi M. Mohammad United States
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Citations per field
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Citations per year

Countries citing papers authored by Junjiang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Junjiang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010228
2 2014222
3 2011203
4 2013184
5 2017183
6 2013158
7 2020142
8 2011134
9 2013121
10 2015116
11 201798
12 201490
13 201689
14 201386
15 201985
16 201882
17 200571
18 201668
19 201965
20 200765

About Junjiang Fu

Junjiang Fu is a scholar working on Molecular Biology, Genetics, Oncology, Complementary and alternative medicine and Cancer Research, having authored 189 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Nigella sativa pharmacological applications (18 papers), Ubiquitin and proteasome pathways (12 papers), Epigenetics and DNA Methylation (12 papers), Bioactive Compounds and Antitumor Agents (12 papers), Retinal Development and Disorders (12 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Toxicology (228 citations), Cancer Research (933 citations), Complementary and alternative medicine (502 citations), Oncology (958 citations) and Molecular Biology (2.6k citations). Junjiang Fu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Md. Asaduzzaman Khan, Mousumi Tania, Chunli Wei, Jingliang Cheng, Saber İmani, Hanchun Chen, Jianming Xu, Shangyi Fu, Tao He and Zhiqiang Mei. Their work appears in journals such as Molecular Biology Reports, Oncotarget, Journal of Cellular and Molecular Medicine, Molecules and Journal of Cancer.

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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