Shenglong Wang

591 total citations · 1 hit paper
17 papers, 443 citations indexed

About

Shenglong Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shenglong Wang has authored 17 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Shenglong Wang's work include Molecular Biology Techniques and Applications (3 papers), Cancer-related molecular mechanisms research (3 papers) and Aldose Reductase and Taurine (2 papers). Shenglong Wang is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), Cancer-related molecular mechanisms research (3 papers) and Aldose Reductase and Taurine (2 papers). Shenglong Wang collaborates with scholars based in China, United States and Paraguay. Shenglong Wang's co-authors include Shi‐Hsiang Shen, Denis Banville, Nasser Fotouhi‐Ardakani, Zhenbao Yu, Nurith Kurn, Serge Saxonov, George Karlin‐Neumann, Ryan Koehler, Pengchin Chen and Alan Dafforn and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and The Journal of Physical Chemistry Letters.

In The Last Decade

Shenglong Wang

15 papers receiving 435 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evaluation of a three-gene methylation model for correlating lymph node metastasis in postoperative early gastric cancer adjacent samples

2024 54 citations Shang Chen, Yaru Liu et al. Frontiers in Oncology profile →

Peers

Shenglong Wang

ONCOL

PHYSI

Zbigniew Korwek Poland

Ilaria Secco Italy

Mark Chandy United States

Jia Luo China

Stefanie De Schepper Belgium

Sayaka Kawano Japan

F.X. Reymond Sutandy Germany

Jina Park South Korea

Chang‐Han Lee South Korea

Zbigniew Korwek Poland

Shenglong Wang

180 ×0.7

67 ×1.1

ONCOL

19 ×0.3

56 ×1.2

86 ×2.0

PHYSI

Citations per year, relative to Shenglong Wang Shenglong Wang (= 1×) peers Zbigniew Korwek

Countries citing papers authored by Shenglong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shenglong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglong Wang. A scholar is included among the top collaborators of Shenglong Wang 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 Shenglong Wang. Shenglong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Wang, Shenglong, et al.. (2025). AKR1C3 promotes bile acid production and contributes to the occurrence and development of liver cancer by upregulating HMG-CoA reductase. ONCOLOGIE. 27(4). 615–629.

Wang, Shenglong, et al.. (2025). Aldo-keto Reductase 1B10 (AKR1B10) Suppresses Sensitivity of Ferroptosis in TNBC by Activating the AKT/GSK3β/Nrf2/GPX4 Axis. Frontiers in Bioscience-Landmark. 30(6). 36615–36615. 1 indexed citations

Chen, Shang, Yaru Liu, Shenglong Wang, et al.. (2024). Evaluation of a three-gene methylation model for correlating lymph node metastasis in postoperative early gastric cancer adjacent samples. Frontiers in Oncology. 14. 1432869–1432869. 54 indexed citations breakdown →

Wang, Shenglong, et al.. (2024). Genetic polymorphisms in genes involved in the type I interferon system (STAT4 and IRF5): association with Asian SLE patients. Clinical Rheumatology. 43(8). 2403–2416. 5 indexed citations

Wang, Shenglong, et al.. (2023). Association between diabetes mellitus, prediabetes and risk, disease progression of Parkinson's disease: A systematic review and meta-analysis. Frontiers in Aging Neuroscience. 15. 1109914–1109914. 10 indexed citations

Meng, Jin, et al.. (2023). Reciprocal regulation of SIRT1 and AMPK by Ginsenoside compound K impedes the conversion from plasma cells to mitigate for podocyte injury in MRL/lpr mice in a B cell-specific manner. Journal of Ginseng Research. 48(2). 190–201. 6 indexed citations

Ji, Lina, et al.. (2022). Paeoniflorin Inhibits LPS-Induced Activation of Splenic CD4+ T Lymphocytes and Relieves Pathological Symptoms in MRL/lpr Mice by Suppressing IRAK1 Signaling. Evidence-based Complementary and Alternative Medicine. 2022. 1–17. 3 indexed citations

Xiao, Yao, et al.. (2022). Modified Sijunzi Decoction Inhibits Epithelial-Mesenchymal Transition of Non-Small Cell Lung Cancer by Attenuating AKT/GSK3β Pathway in vitro and in vivo. Frontiers in Pharmacology. 12. 821567–821567. 6 indexed citations

Bai, Li, et al.. (2021). The Association of Systemic Interleukin 6 and Interleukin 10 Levels with Sarcopenia in Elderly Patients with Chronic Obstructive Pulmonary Disease. International Journal of General Medicine. Volume 14. 5893–5902. 20 indexed citations

10.

Chang, Huan‐Cheng, Wei Gan, Xia Liao, et al.. (2020). Conjugated linoleic acid supplements preserve muscle in high-body-fat adults: A double-blind, randomized, placebo trial. Nutrition Metabolism and Cardiovascular Diseases. 30(10). 1777–1784. 17 indexed citations

11.

Karlin‐Neumann, George, Shenglong Wang, Camille Troup, Yann Jouvenot, & Eli Hefner. (2014). Abstract 3491: Rapid and ultra-sensitive single-cell transcript profiling with droplet digital PCR (ddPCR): Application to cell cycle analysis. Cancer Research. 74(19_Supplement). 3491–3491.

12.

Shi, Yawei, Yanzi Zhou, Shenglong Wang, & Yingkai Zhang. (2013). Sirtuin Deacetylation Mechanism and Catalytic Role of the Dynamic Cofactor Binding Loop. The Journal of Physical Chemistry Letters. 4(3). 491–495. 27 indexed citations

13.

Heredia, Nicholas J., Phillip Belgrader, Shenglong Wang, et al.. (2012). Droplet Digital™ PCR quantitation of HER2 expression in FFPE breast cancer samples. Methods. 59(1). S20–S23. 88 indexed citations

14.

Beane, Jennifer, Jessica Vick, Yevgeniy Gindin, et al.. (2011). RNA-seq Identifies Novel Changes In The Airway Transcriptome Associated With Smoking And Lung Cancer. A6020–A6020. 1 indexed citations

15.

Irimia, Daniel, Michael Mindrinos, Aman Russom, et al.. (2008). Genome-wide transcriptome analysis of 150 cell samples. Integrative Biology. 1(1). 99–107. 13 indexed citations

16.

Dafforn, Alan, Pengchin Chen, Glenn Deng, et al.. (2004). Linear mRNA Amplification from as Little as 5 ng Total RNA for Global gene Expression Analysis. BioTechniques. 37(5). 854–857. 101 indexed citations

17.

Yu, Zhenbao, et al.. (2002). PTEN Associates with the Vault Particles in HeLa Cells. Journal of Biological Chemistry. 277(43). 40247–40252. 91 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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