Jun Long

1.4k total citations
43 papers, 1.0k citations indexed

About

Jun Long is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Jun Long has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Pharmacology. Recurrent topics in Jun Long's work include Hedgehog Signaling Pathway Studies (15 papers), Epigenetics and DNA Methylation (9 papers) and Extracellular vesicles in disease (7 papers). Jun Long is often cited by papers focused on Hedgehog Signaling Pathway Studies (15 papers), Epigenetics and DNA Methylation (9 papers) and Extracellular vesicles in disease (7 papers). Jun Long collaborates with scholars based in China, United States and Hong Kong. Jun Long's co-authors include Zemin Li, Hehai Pan, Zhaomin Zheng, Hua Wang, Jianru Wang, David J. Robbins, Hui Liu, Anthony J. Capobianco, Jezabel Rodríguez‐Blanco and Haowen Cui and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Jun Long

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Long China 18 665 247 149 136 94 43 1.0k
Baojian Fan Hong Kong 27 861 1.3× 208 0.8× 80 0.5× 74 0.5× 55 0.6× 66 2.1k
R. Gómez United States 15 371 0.6× 86 0.3× 60 0.4× 147 1.1× 115 1.2× 21 839
Hehai Pan China 13 373 0.6× 556 2.3× 357 2.4× 97 0.7× 42 0.4× 16 981
Yoko Yokoyama Japan 21 352 0.5× 147 0.6× 45 0.3× 61 0.4× 88 0.9× 64 1.1k
Aubryanna Hettinghouse United States 18 365 0.5× 113 0.5× 71 0.5× 61 0.4× 99 1.1× 34 982
Xia Mao United States 11 415 0.6× 148 0.6× 112 0.8× 48 0.4× 168 1.8× 13 1.3k
Zhiqi Chen China 22 248 0.4× 96 0.4× 106 0.7× 43 0.3× 103 1.1× 79 1.4k
Jinzhao Wang United States 16 570 0.9× 137 0.6× 31 0.2× 76 0.6× 90 1.0× 34 1.1k
Anastasios Chanalaris United Kingdom 19 424 0.6× 76 0.3× 214 1.4× 134 1.0× 119 1.3× 37 1.2k

Countries citing papers authored by Jun Long

Since Specialization
Citations

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

Fields of papers citing papers by Jun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Long

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Long. A scholar is included among the top collaborators of Jun Long 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 Jun Long. Jun Long 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.
Zhang, Xiaoli, Zhaoguang Wang, Yingying Li, et al.. (2025). Smartphone-based urine colourimetric assay for home self-screening of HPV infection. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 334. 125923–125923. 1 indexed citations
2.
Zhu, Zhihan, Jia Feng, Jun Long, et al.. (2024). Sbno1 mediates cell–cell communication between neural stem cells and microglia through small extracellular vesicles. Cell & Bioscience. 14(1). 125–125.
3.
Li, Yajing, Jiale Liu, Sitian Liu, et al.. (2023). Neural stem cell-derived exosomes-loaded adhesive hydrogel controlled-release promotes cerebral angiogenesis and neurological function in ischemic stroke. Experimental Neurology. 370. 114547–114547. 36 indexed citations
4.
Liu, Feng, et al.. (2023). circPKD2 inhibits the glioma cell proliferation, invasion and glycolytic metabolism through regulating the miR-1278/LATS2 axis. Neuroscience Letters. 801. 137126–137126. 3 indexed citations
5.
Liu, Jiale, Qiankun Zhang, Wenjie Duan, et al.. (2023). Mechanism of Neural Stem Cell-Derived Exosomal miR-9a-5p Overexpression Improving Survival and Neurogenesis in Ischemic Stroke Rats. Journal of Biomedical Nanotechnology. 19(11). 1963–1978. 1 indexed citations
6.
Long, Jun, Jiale Liu, Jiajun Huang, et al.. (2023). Extracellular vesicles from medicated plasma of Buyang Huanwu decoction-preconditioned neural stem cells accelerate neurological recovery following ischemic stroke. Frontiers in Cell and Developmental Biology. 11. 1096329–1096329. 17 indexed citations
7.
8.
Yang, Fan, Jezabel Rodríguez‐Blanco, Jun Long, et al.. (2022). A Druggable UHRF1/DNMT1/GLI Complex Regulates Sonic Hedgehog–Dependent Tumor Growth. Molecular Cancer Research. 20(11). 1598–1610. 6 indexed citations
9.
Penas, Clara, Vasileios Stathias, Jun Long, et al.. (2019). Time series modeling of cell cycle exit identifies Brd4 dependent regulation of cerebellar neurogenesis. Nature Communications. 10(1). 3028–3028. 22 indexed citations
10.
Long, Jun, Xiaobo Wang, Hehai Pan, et al.. (2019). JAG2/Notch2 inhibits intervertebral disc degeneration by modulating cell proliferation, apoptosis, and extracellular matrix. Arthritis Research & Therapy. 21(1). 213–213. 38 indexed citations
11.
Rodríguez‐Blanco, Jezabel, Bin Li, Jun Long, et al.. (2018). A CK1α Activator Penetrates the Brain and Shows Efficacy Against Drug-resistant Metastatic Medulloblastoma. Clinical Cancer Research. 25(4). 1379–1388. 24 indexed citations
12.
Long, Jun, Peiheng He, Wei He, et al.. (2018). Risk Factors Associated with Pain Severity in Patients with Non-specific Low Back Pain in Southern China. Asian Spine Journal. 12(3). 533–543. 24 indexed citations
13.
14.
Li, Bin, Camilla Giambelli, Bo Tang, et al.. (2015). Arsenic Attenuates GLI Signaling, Increasing or Decreasing its Transcriptional Program in a Context-Dependent Manner. Molecular Pharmacology. 89(2). 226–232. 8 indexed citations
15.
Long, Jun, Robert Tokhunts, William M. Old, et al.. (2015). Identification of a Family of Fatty-Acid-Speciated Sonic Hedgehog Proteins, Whose Members Display Differential Biological Properties. Cell Reports. 10(8). 1280–1287. 27 indexed citations
16.
Penas, Clara, Yin Fang, Vimal Ramachandran, et al.. (2015). Casein Kinase 1δ Is an APC/CCdh1 Substrate that Regulates Cerebellar Granule Cell Neurogenesis. Cell Reports. 11(2). 249–260. 23 indexed citations
17.
Tu, Guanjun, et al.. (2014). Matrix metalloproteinase-9 is up-regulated by CCL19/CCR7 interaction via PI3K/Akt pathway and is involved in CCL19-driven BMSCs migration. Biochemical and Biophysical Research Communications. 451(2). 222–228. 24 indexed citations
18.
Zhu, Xiao, Jinfang Zhang, Wenguo Fan, et al.. (2013). The rs391957 variant cis-regulating oncogene GRP78 expression contributes to the risk of hepatocellular carcinoma. Carcinogenesis. 34(6). 1273–1280. 36 indexed citations
19.
Fei, Dennis Liang, Avencia Sánchez-Mejías, Zhiqiang Wang, et al.. (2012). Hedgehog Signaling Regulates Bladder Cancer Growth and Tumorigenicity. Cancer Research. 72(17). 4449–4458. 41 indexed citations
20.
Singh, Samer, Zhiqiang Wang, Dennis Liang Fei, et al.. (2011). Hedgehog-Producing Cancer Cells Respond to and Require Autocrine Hedgehog Activity. Cancer Research. 71(13). 4454–4463. 40 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.

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