Longjiang Shao

1.0k total citations
24 papers, 834 citations indexed

About

Longjiang Shao is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Longjiang Shao has authored 24 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Longjiang Shao's work include Prostate Cancer Treatment and Research (8 papers), Cancer, Lipids, and Metabolism (4 papers) and RNA Research and Splicing (4 papers). Longjiang Shao is often cited by papers focused on Prostate Cancer Treatment and Research (8 papers), Cancer, Lipids, and Metabolism (4 papers) and RNA Research and Splicing (4 papers). Longjiang Shao collaborates with scholars based in United States, China and United Kingdom. Longjiang Shao's co-authors include Michael Ittmann, Jianghua Wang, Shu Feng, Chad J. Creighton, Rupasri Ain, Guoli Dai, Michael J. Soares, Cheng Zhu, Lawrence Chan and Qiang Tong and has published in prestigious journals such as PLoS ONE, Cancer Research and Clinical Cancer Research.

In The Last Decade

Longjiang Shao

24 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longjiang Shao United States 16 405 199 196 133 119 24 834
Mohamed I. Saad Australia 17 321 0.8× 119 0.6× 148 0.8× 84 0.6× 22 0.2× 34 791
Jiao Mu China 17 522 1.3× 150 0.8× 58 0.3× 112 0.8× 46 0.4× 37 931
Virginia Novaro Argentina 19 375 0.9× 135 0.7× 67 0.3× 118 0.9× 22 0.2× 42 907
Ming Zeng China 17 512 1.3× 155 0.8× 74 0.4× 89 0.7× 21 0.2× 44 971
Luisa Salvatori Italy 20 477 1.2× 198 1.0× 153 0.8× 143 1.1× 15 0.1× 33 1.1k
Luca Gelsomino Italy 25 788 1.9× 570 2.9× 135 0.7× 205 1.5× 131 1.1× 52 1.5k
Yi Ma China 13 326 0.8× 74 0.4× 55 0.3× 121 0.9× 101 0.8× 24 942
Elizabeth A. Wellberg United States 19 512 1.3× 266 1.3× 74 0.4× 133 1.0× 22 0.2× 39 979
KM Yao Hong Kong 10 671 1.7× 188 0.9× 38 0.2× 238 1.8× 91 0.8× 16 1.0k
Mary Beth DeYoung United States 17 659 1.6× 144 0.7× 53 0.3× 134 1.0× 37 0.3× 23 1.4k

Countries citing papers authored by Longjiang Shao

Since Specialization
Citations

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

Fields of papers citing papers by Longjiang Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longjiang Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Longjiang Shao. A scholar is included among the top collaborators of Longjiang Shao 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 Longjiang Shao. Longjiang Shao 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.
Tian, Yicheng, et al.. (2023). NECAB3 promotes the migration and invasion of liver cancer cells through HIF-1α/RIT1 signaling pathway. Open Medicine. 18(1). 20230700–20230700. 5 indexed citations
2.
Shao, Longjiang, Jianghua Wang, Ömer Faruk Karataş, & Michael Ittmann. (2021). MEX3D is an oncogenic driver in prostate cancer. The Prostate. 81(15). 1202–1213. 6 indexed citations
3.
Shao, Longjiang, et al.. (2021). RNA methyltransferase NSUN2 promotes growth of hepatocellular carcinoma cells by regulating fizzy‐related‐1 in vitro and in vivo. The Kaohsiung Journal of Medical Sciences. 37(11). 991–999. 13 indexed citations
4.
Shao, Longjiang, Jianghua Wang, Ömer Faruk Karataş, et al.. (2018). Fibroblast growth factor receptor signaling plays a key role in transformation induced by the TMPRSS2/ERG fusion gene and decreased PTEN. Oncotarget. 9(18). 14456–14471. 5 indexed citations
5.
Ban, Kechen, Shu Feng, Longjiang Shao, & Michael Ittmann. (2017). RET Signaling in Prostate Cancer. Clinical Cancer Research. 23(16). 4885–4896. 39 indexed citations
6.
Wang, Yongquan, Jianghua Wang, Li Zhang, et al.. (2017). RGS12 Is a Novel Tumor-Suppressor Gene in African American Prostate Cancer That Represses AKT and MNX1 Expression. Cancer Research. 77(16). 4247–4257. 28 indexed citations
7.
Karataş, Ömer Faruk, Jianghua Wang, Longjiang Shao, et al.. (2017). miR-33a is a tumor suppressor microRNA that is decreased in prostate cancer. Oncotarget. 8(36). 60243–60256. 33 indexed citations
8.
Zhang, Li, Jianghua Wang, Yongquan Wang, et al.. (2016). MNX1 Is Oncogenically Upregulated in African-American Prostate Cancer. Cancer Research. 76(21). 6290–6298. 47 indexed citations
9.
Shao, Longjiang, Chenchen Yuan, Chenyang Jiang, et al.. (2016). Implication of Differential Peroxiredoxin 4 Expression with Age in Ovaries of Mouse and Human for Ovarian Aging. Current Molecular Medicine. 16(3). 243–251. 28 indexed citations
10.
Feng, Shu, Longjiang Shao, Patricia Castro, et al.. (2016). Combination treatment of prostate cancer with FGF receptor and AKT kinase inhibitors. Oncotarget. 8(4). 6179–6192. 18 indexed citations
11.
Zhang, Li, Longjiang Shao, Chad J. Creighton, et al.. (2015). Function of phosphorylation of NF-kB p65 ser536 in prostate cancer oncogenesis. Oncotarget. 6(8). 6281–6294. 54 indexed citations
12.
Shao, Longjiang, Yi Cai, Patricia Castro, et al.. (2013). Celastrol Suppresses Tumor Cell Growth through Targeting an AR-ERG-NF-κB Pathway in TMPRSS2/ERG Fusion Gene Expressing Prostate Cancer. PLoS ONE. 8(3). e58391–e58391. 39 indexed citations
13.
Gillies, Hunter, et al.. (2013). A placebo-controlled study of ambrisentan in subjects with idiopathic pulmonary fibrosis (ARTEMIS-IPF). Life Sciences. 93(25-26). e59–e59. 3 indexed citations
14.
Feng, Shu, Longjiang Shao, Wendong Yu, Paul R. Gavine, & Michael Ittmann. (2012). Targeting Fibroblast Growth Factor Receptor Signaling Inhibits Prostate Cancer Progression. Clinical Cancer Research. 18(14). 3880–3888. 40 indexed citations
15.
Shao, Longjiang, İbrahim Tekedereli, Jianghua Wang, et al.. (2012). Highly Specific Targeting of the TMPRSS2/ERG Fusion Gene Using Liposomal Nanovectors. Clinical Cancer Research. 18(24). 6648–6657. 48 indexed citations
16.
Lin, Ligen, Pradip Saha, Xiaojun Ma, et al.. (2011). Ablation of ghrelin receptor reduces adiposity and improves insulin sensitivity during aging by regulating fat metabolism in white and brown adipose tissues. Aging Cell. 10(6). 996–1010. 156 indexed citations
17.
Wang, Jianghua, Yi Cai, Longjiang Shao, et al.. (2010). Activation of NF-κB by TMPRSS2/ERG Fusion Isoforms through Toll-Like Receptor-4. Cancer Research. 71(4). 1325–1333. 66 indexed citations
18.
Shao, Longjiang, et al.. (2002). The Mouse Prolactin Gene Family Locus. Endocrinology. 144(1). 313–325. 101 indexed citations
19.
20.
Shao, Longjiang, Hongmei Wang, Enkui Duan, & Cheng Zhu. (2001). Expression of vascular endothelial growth factor in rat uterus during peri-implantation. Chinese Science Bulletin. 46(14). 1178–1181. 4 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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