Junjiang Fu

6.7k total citations
186 papers, 4.8k citations indexed

About

Junjiang Fu is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Junjiang Fu has authored 186 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 49 papers in Genetics and 27 papers in Oncology. Recurrent topics in Junjiang Fu's work include Genetic diversity and population structure (21 papers), Nigella sativa pharmacological applications (17 papers) and Ubiquitin and proteasome pathways (13 papers). Junjiang Fu is often cited by papers focused on Genetic diversity and population structure (21 papers), Nigella sativa pharmacological applications (17 papers) and Ubiquitin and proteasome pathways (13 papers). Junjiang Fu collaborates with scholars based in China, United States and Macao. Junjiang Fu's co-authors include Md. Asaduzzaman Khan, Mousumi Tania, Chunli Wei, Jingliang Cheng, Saber İmani, Jianming Xu, Hanchun Chen, Shangyi Fu, Tao He and Zhiqiang Mei and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Junjiang Fu

177 papers receiving 4.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junjiang Fu China 36 2.9k 1.1k 1.1k 554 497 186 4.8k
Yin Xiong United States 33 2.8k 1.0× 845 0.8× 1.5k 1.4× 217 0.4× 249 0.5× 125 4.3k
Alexander T.H. Wu Taiwan 40 2.6k 0.9× 1.1k 1.0× 1.1k 1.0× 243 0.4× 141 0.3× 170 5.1k
Ramzi M. Mohammad United States 41 2.9k 1.0× 1.2k 1.2× 601 0.6× 154 0.3× 475 1.0× 154 4.8k
Lijuan Liu China 33 2.5k 0.9× 343 0.3× 736 0.7× 422 0.8× 240 0.5× 156 4.3k
Yi‐Hsien Hsieh Taiwan 41 3.2k 1.1× 941 0.9× 1.3k 1.2× 119 0.2× 230 0.5× 207 5.3k
Chiao‐Wen Lin Taiwan 39 2.7k 0.9× 905 0.8× 1.4k 1.3× 143 0.3× 202 0.4× 176 4.4k
Georg Krupitza Austria 33 2.7k 0.9× 1.4k 1.3× 853 0.8× 244 0.4× 109 0.2× 134 5.0k
Nadine Darwiche Lebanon 33 2.3k 0.8× 400 0.4× 819 0.8× 220 0.4× 283 0.6× 98 3.6k
Yongjun Dang China 33 3.3k 1.1× 1.1k 1.0× 724 0.7× 188 0.3× 183 0.4× 101 5.2k
Dipali Sharma United States 40 2.8k 1.0× 1.4k 1.3× 1.1k 1.1× 620 1.1× 155 0.3× 100 5.1k

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-authorship network of co-authors of Junjiang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Junjiang Fu. A scholar is included among the top collaborators of Junjiang Fu 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 Junjiang Fu. Junjiang Fu 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
1.
He, Tingshu, et al.. (2025). Molecular biology research progress in post-mortem interval (PMI) estimation in forensic medicine. International Journal of Legal Medicine. 140(1). 13–28.
2.
Wei, Chunli, Xiaoyan Liu, Lisha Yang, et al.. (2025). Exploring breast cancer associated-gene panel for next-generation sequencing and identifying new, pathogenic variants in breast cancer from western China. Journal of Cancer. 16(4). 1281–1295. 1 indexed citations
3.
Zhang, Wenqian, et al.. (2025). ADAM10 is a key player in the diagnosis, prognosis and metastasis of non-small cell lung cancer (NSCLC). Journal of Cancer. 16(5). 1736–1746. 4 indexed citations
4.
Fu, Jiewen, et al.. (2025). Development of Mathematical Models Using circRNA Combinations (circTulp4, circSlc8a1, and circStrn3) in Mouse Brain Tissue for Postmortem Interval Estimation. International Journal of Molecular Sciences. 26(10). 4495–4495. 1 indexed citations
5.
Li, Dabing, Waqar Ahmad, Maliheh Entezari, et al.. (2024). Discovery of PELATON links to the INHBA gene in the TGF-β pathway in colorectal cancer using a combination of bioinformatics and experimental investigations. International Journal of Biological Macromolecules. 270. 132239–132239. 9 indexed citations
6.
Li, Dabing, Jingliang Cheng, Wenqian Zhang, et al.. (2024). Tripartite motif-containing 28 (TRIM28) expression and cordycepin inhibition in progression, prognosis, and therapeutics of patients with breast invasive carcinoma. Journal of Cancer. 15(13). 4374–4385. 6 indexed citations
7.
8.
Li, Maosheng, Jin Cheng, & Junjiang Fu. (2024). Matching Methods of Shared Parking Slots Considering Overdue Parking Behavior. Sustainability. 16(24). 11253–11253.
9.
Tan, Qi, Chunli Wei, Hui Zou, et al.. (2023). Design, Synthesis, and Acute Toxicity Assays for Novel Thymoquinone Derivative TQFL12 in Mice and the Mechanism of Resistance to Toxicity. Molecules. 28(13). 5149–5149. 5 indexed citations
10.
11.
Liu, Shuguang, Lisha Yang, Jiewen Fu, et al.. (2023). Comprehensive analysis, immune, and cordycepin regulation for SOX9 expression in pan-cancers and the matched healthy tissues. Frontiers in Immunology. 14. 1149986–1149986. 3 indexed citations
12.
Fu, Jiewen, et al.. (2023). Genetic Polymorphism Analysis of 24 Y-STRs in a Han Chinese Population in Luzhou, Southwest China. Genes. 14(10). 1904–1904. 1 indexed citations
13.
Fu, Jiewen, Wenqian Zhang, Lianmei Zhang, et al.. (2023). Effect of DPP4/CD26 expression on SARS‑CoV‑2 susceptibility, immune response, adenosine (derivatives m62A and CD) regulations on patients with cancer and healthy individuals. International Journal of Oncology. 62(3). 66–72. 13 indexed citations
14.
Wei, Chunli, Yun Liu, Xiaoyan Liu, et al.. (2022). The speckle-type POZ protein (SPOP) inhibits breast cancer malignancy by destabilizing TWIST1. Cell Death Discovery. 8(1). 389–389. 12 indexed citations
15.
Khan, Md. Asaduzzaman, et al.. (2022). Identification of SCAR markers for genetic authentication of Dendrobium nobile Lindl.. Brazilian Journal of Biology. 82. e260394–e260394. 1 indexed citations
16.
Liu, Ruijie, Xujun Liang, Sai Zhang, et al.. (2020). lncRNA RP11-624L4.1 Is Associated with Unfavorable Prognosis and Promotes Proliferation via the CDK4/6-Cyclin D1-Rb-E2F1 Pathway in NPC. Molecular Therapy — Nucleic Acids. 22. 1025–1039. 27 indexed citations
17.
Wang, Qingwei, Xiao Gao, Tong Yu, et al.. (2018). REGγ Controls Hippo Signaling and Reciprocal NF-κB–YAP Regulation to Promote Colon Cancer. Clinical Cancer Research. 24(8). 2015–2025. 45 indexed citations
18.
Cheng, Shanshan, Wenxiang Huang, Muhammad Zeeshan Bhatti, et al.. (2017). REGγ Contributes to Regulation of Hemoglobin and Hemoglobin δ Subunit. Oxidative Medicine and Cellular Longevity. 2017(1). 7295319–7295319. 6 indexed citations
19.
Hong, Jun Ki, Jian Zhou, Junjiang Fu, et al.. (2011). Phosphorylation of Serine 68 of Twist1 by MAPKs Stabilizes Twist1 Protein and Promotes Breast Cancer Cell Invasiveness. Cancer Research. 71(11). 3980–3990. 202 indexed citations
20.
Fu, Junjiang, et al.. (2003). Expression research for human DDX36 and mouse Ddx36 gene in the adult testis.. PubMed. 30(3). 201–8. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yin Xiong Breakdown of academic impact, for papers by Alexander T.H. Wu Breakdown of academic impact, for papers by Ramzi M. Mohammad Breakdown of academic impact, for papers by Lijuan Liu Breakdown of academic impact, for papers by Yi‐Hsien Hsieh Breakdown of academic impact, for papers by Chiao‐Wen Lin Breakdown of academic impact, for papers by Georg Krupitza Breakdown of academic impact, for papers by Nadine Darwiche Breakdown of academic impact, for papers by Yongjun Dang Breakdown of academic impact, for papers by Dipali Sharma
Rankless by CCL
2026