Long Fang

655 total citations · 1 hit paper
24 papers, 485 citations indexed

About

Long Fang is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Long Fang has authored 24 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Surgery and 5 papers in Cancer Research. Recurrent topics in Long Fang's work include Metabolism, Diabetes, and Cancer (5 papers), MicroRNA in disease regulation (2 papers) and Electrochemical sensors and biosensors (2 papers). Long Fang is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), MicroRNA in disease regulation (2 papers) and Electrochemical sensors and biosensors (2 papers). Long Fang collaborates with scholars based in China, United States and Australia. Long Fang's co-authors include Chun Gao, Hui Zhang, Shukun Yao, Hong-Chuan Zhao, Zhaohui Zhang, Xiyun Yan, Jianhua Zeng, Zhaoxia Yang, Kelong Fan and Ruofei Zhang and has published in prestigious journals such as Nature Communications, PLoS ONE and Advanced Science.

In The Last Decade

Long Fang

23 papers receiving 476 citations

Hit Papers

A natural biogenic nanozyme for scavenging superoxide rad... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Fang China 11 218 125 84 81 70 24 485
Kelin Zhang China 14 207 0.9× 66 0.5× 110 1.3× 34 0.4× 105 1.5× 22 457
Ji Eon Kim South Korea 14 223 1.0× 116 0.9× 62 0.7× 19 0.2× 23 0.3× 40 449
Simin Wen China 11 183 0.8× 71 0.6× 82 1.0× 102 1.3× 31 0.4× 34 478
Yuanwu Liu China 14 114 0.5× 105 0.8× 63 0.8× 126 1.6× 33 0.5× 28 592
Choong‐Kyun Noh South Korea 16 186 0.9× 58 0.5× 93 1.1× 63 0.8× 84 1.2× 57 649
Zheng Qichang China 14 155 0.7× 67 0.5× 30 0.4× 123 1.5× 90 1.3× 38 540
Yanyang Nan China 12 147 0.7× 64 0.5× 23 0.3× 56 0.7× 57 0.8× 26 434
Xiaojun Cai China 13 146 0.7× 50 0.4× 62 0.7× 40 0.5× 43 0.6× 27 380
Bing Lin China 14 167 0.8× 45 0.4× 72 0.9× 47 0.6× 17 0.2× 36 550
Hsin-An Chen Taiwan 12 133 0.6× 27 0.2× 53 0.6× 91 1.1× 41 0.6× 22 366

Countries citing papers authored by Long Fang

Since Specialization
Citations

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

Fields of papers citing papers by Long Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Long Fang. A scholar is included among the top collaborators of Long Fang 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 Long Fang. Long Fang 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.
Fang, Long, et al.. (2025). Modeling and vibration analysis of maglev-irregular plate systems. International Journal of Mechanical Sciences. 303. 110653–110653.
2.
Hu, Feifei, Fang Wang, Yao Ming, & Long Fang. (2025). Meta-analysis of compression therapy for prevention of chemotherapy-induced peripheral neuropathy. Supportive Care in Cancer. 33(7). 549–549. 2 indexed citations
3.
Ma, Long, Jia‐Jia Zheng, N. Zhou, et al.. (2024). A natural biogenic nanozyme for scavenging superoxide radicals. Nature Communications. 15(1). 233–233. 88 indexed citations breakdown →
4.
Fang, Long, et al.. (2024). Maximizing VANETs Secrecy Data Rate Using Dueling Double Deep Q-Networks. IEEE Transactions on Vehicular Technology. 74(1). 1267–1279. 1 indexed citations
5.
Fang, Long, Ruofei Zhang, Lin Shi, et al.. (2023). Protein‐Nanocaged Selenium Induces t(8;21) Leukemia Cell Differentiation via Epigenetic Regulation. Advanced Science. 10(35). e2300698–e2300698. 7 indexed citations
6.
Gao, Chun, et al.. (2020). <p>Eradication Treatment of <em>Helicobacter pylori</em> Infection Based on Molecular Pathologic Antibiotic Resistance</p>. Infection and Drug Resistance. Volume 13. 69–79. 16 indexed citations
7.
Li, Xiaoou, et al.. (2020). <p>Increased Level of Systolic Blood Pressure in Hepatocellular Carcinoma Patients with Diabetes Mellitus</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 1979–1988. 5 indexed citations
8.
Fang, Long, et al.. (2020). Analysis of changes in the expression of Notch1 and HES1 and the prognosis of osteosarcoma patients following surgery. Oncology Letters. 20(4). 29–29. 4 indexed citations
9.
Fang, Long, Chun Gao, Ruxue Bai, Huifen Wang, & Shiyu Du. (2020). Overexpressed sFRP3 exerts an inhibitory effect on hepatocellular carcinoma via inactivation of the Wnt/β-catenin signaling pathway. Cancer Gene Therapy. 28(7-8). 875–891. 9 indexed citations
10.
Gao, Chun, et al.. (2020). <p>Metformin Induces Autophagy via the AMPK-mTOR Signaling Pathway in Human Hepatocellular Carcinoma Cells</p>. Cancer Management and Research. Volume 12. 5803–5811. 53 indexed citations
11.
Fang, Long, et al.. (2019). SP1-regulated LINC01638 promotes proliferation and inhibits apoptosis in non-small cell lung cancer.. PubMed. 23(20). 8913–8920. 12 indexed citations
12.
Fang, Long, et al.. (2019). miR-363 acts as a tumor suppressor in osteosarcoma cells by inhibiting PDZD2. Oncology Reports. 41(5). 2729–2738. 16 indexed citations
13.
Fang, Long, et al.. (2015). Imprinted electrochemical sensor based on magnetic multi-walled carbon nanotube for sensitive determination of kanamycin. Journal of Electroanalytical Chemistry. 755. 7–14. 50 indexed citations
14.
Zhang, Zhaohui, Xing Chen, Wei Rao, et al.. (2014). Preparation of novel curcumin‐imprinted polymers based on magnetic multi‐walled carbon nanotubes for the rapid extraction of curcumin from ginger powder and kiwi fruit root. Journal of Separation Science. 38(1). 108–114. 24 indexed citations
15.
Gao, Chun, et al.. (2014). Drug Allergy and the Risk of Lymph Node Metastasis in Rectal Cancer. PLoS ONE. 9(8). e106123–e106123. 2 indexed citations
16.
Du, Shiyu, et al.. (2014). CARMA3 is upregulated in human pancreatic carcinoma, and its depletion inhibits tumor proliferation, migration, and invasion. Tumor Biology. 35(6). 5965–5970. 8 indexed citations
17.
Gao, Chun, Long Fang, Hong-Chuan Zhao, Jingtao Li, & Shukun Yao. (2013). Potential role of diabetes mellitus in the progression of cirrhosis to hepatocellular carcinoma: a cross-sectional case-control study from Chinese patients with HBV infection. Hepatobiliary & pancreatic diseases international. 12(4). 385–393. 27 indexed citations
18.
Gao, Chun, et al.. (2013). Pre-operative Predictive Factors for Intra-operative Pathological Lymph Node Metastasis in Rectal Cancers. Asian Pacific Journal of Cancer Prevention. 14(11). 6293–6299. 8 indexed citations
19.
Zhang, Hui, Chun Gao, Long Fang, Hong-Chuan Zhao, & Shukun Yao. (2012). Metformin and reduced risk of hepatocellular carcinoma in diabetic patients: a meta-analysis. Scandinavian Journal of Gastroenterology. 48(1). 78–87. 111 indexed citations
20.
Fang, Long. (2008). Two cases of Veno-Occlusive Disease and review. 2 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

Rankless by CCL
2026