Pengbo Wu

739 total citations
22 papers, 473 citations indexed

About

Pengbo Wu is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Pengbo Wu has authored 22 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Pengbo Wu's work include Liver Disease Diagnosis and Treatment (11 papers), Inflammatory Bowel Disease (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Pengbo Wu is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Inflammatory Bowel Disease (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Pengbo Wu collaborates with scholars based in China, United States and India. Pengbo Wu's co-authors include Yuanjie Yu, Shiyun Tan, Frank A. Anania, Andrew S. Neish, Pradeep Kumar, T. Lynn Smith, Khalidur Rahman, Alton B. Farris, Hongliang Li and Natalie Thorn and has published in prestigious journals such as Gastroenterology, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Pengbo Wu

21 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengbo Wu China 9 311 231 115 90 60 22 473
Michael Dudek Germany 8 303 1.0× 178 0.8× 87 0.8× 91 1.0× 82 1.4× 11 497
Natalie Thorn United States 6 297 1.0× 202 0.9× 125 1.1× 89 1.0× 66 1.1× 7 448
E. Mingarelli Italy 5 290 0.9× 203 0.9× 96 0.8× 96 1.1× 114 1.9× 6 462
Rory P. Cunningham United States 13 382 1.2× 204 0.9× 192 1.7× 174 1.9× 90 1.5× 23 623
Prachi Hote United States 5 232 0.7× 172 0.7× 49 0.4× 72 0.8× 60 1.0× 6 433
Martín Garaycoechea Argentina 8 344 1.1× 165 0.7× 82 0.7× 159 1.8× 77 1.3× 11 438
Muhammad Amir Pakistan 6 385 1.2× 159 0.7× 66 0.6× 67 0.7× 73 1.2× 23 541
Emily Huang United States 9 232 0.7× 243 1.1× 63 0.5× 55 0.6× 42 0.7× 15 556
Masafumi Uno Japan 4 288 0.9× 146 0.6× 79 0.7× 147 1.6× 81 1.4× 6 410
Xunzhe Yin China 11 252 0.8× 168 0.7× 51 0.4× 99 1.1× 41 0.7× 24 440

Countries citing papers authored by Pengbo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pengbo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengbo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengbo Wu. A scholar is included among the top collaborators of Pengbo Wu 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 Pengbo Wu. Pengbo Wu 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.
Gao, Lei, et al.. (2024). SAPFIS: a parallel fuzzy inference system for air combat situation assessment. The Journal of Supercomputing. 81(1).
2.
Yu, Yuanjie, et al.. (2022). MicroRNA-665-3p exacerbates nonalcoholic fatty liver disease in mice. Bioengineered. 13(2). 2927–2942. 15 indexed citations
3.
Wu, Pengbo, et al.. (2022). Influence of Different Excavation Sequence of Double‐Side Heading Method on Supporting Structure. Advances in Civil Engineering. 2022(1). 1 indexed citations
4.
Zhang, Min, et al.. (2021). Inhibition of Notch1 signaling reduces hepatocyte injury in nonalcoholic fatty liver disease via autophagy. Biochemical and Biophysical Research Communications. 547. 131–138. 20 indexed citations
5.
Wu, Pengbo, Yu Zhang, Gang Nie, et al.. (2021). Association between genetic variants in ZNF365 and inflammatory bowel disease risk in Caucasians: a meta-analysis and trial sequential analysis. Expert Review of Clinical Immunology. 17(8). 915–921. 2 indexed citations
6.
Wu, Pengbo, et al.. (2020). Ursodeoxycholic acid alleviates nonalcoholic fatty liver disease by inhibiting apoptosis and improving autophagy via activating AMPK. Biochemical and Biophysical Research Communications. 529(3). 834–838. 41 indexed citations
7.
Wu, Pengbo, et al.. (2020). Association between IL12B polymorphisms and inflammatory bowel disease in Caucasian population: A meta-analysis. Cytokine. 136. 155296–155296. 1 indexed citations
8.
Wu, Pengbo, Tian Tian, Jinbo Zhao, et al.. (2020). IRE1α-JNK pathway-mediated autophagy promotes cell survival in response to endoplasmic reticulum stress during the initial phase of hepatic steatosis. Life Sciences. 264. 118668–118668. 14 indexed citations
9.
10.
Lai, Fangfang, et al.. (2020). Long non‐coding RNA SNHG6 increases JAK2 expression by targeting the miR‐181 family to promote colorectal cancer cell proliferation. The Journal of Gene Medicine. 22(12). e3262–e3262. 14 indexed citations
11.
Wu, Pengbo, et al.. (2020). Association between PTGER4 polymorphisms and inflammatory bowel disease risk in Caucasian. Medicine. 99(34). e19756–e19756. 2 indexed citations
12.
Zhang, Jiwang, et al.. (2019). Ursodeoxycholic acid alleviates experimental liver fibrosis involving inhibition of autophagy. Life Sciences. 242. 117175–117175. 44 indexed citations
13.
Rahman, Khalidur, Chirayu Desai, Smita S. Iyer, et al.. (2016). Loss of Junctional Adhesion Molecule A Promotes Severe Steatohepatitis in Mice on a Diet High in Saturated Fat, Fructose, and Cholesterol. Gastroenterology. 151(4). 733–746.e12. 264 indexed citations
14.
Wu, Pengbo, et al.. (2015). [Association between patatin-like phospholipase domain-containing protein 3 gene rs738409 polymorphism and non-alcoholic fatty liver disease susceptibility: a meta-analysis].. PubMed. 36(1). 78–82. 1 indexed citations
15.
Wu, Pengbo, et al.. (2015). Interactions of central obesity with rs3918242 on risk of non-alcoholic fat liver disease: a preliminary case-control study.. PubMed. 8(4). 4165–70. 8 indexed citations
16.
Wu, Pengbo, et al.. (2015). Association between NCF4 rs4821544T/C polymorphism and inflammatory bowel disease risk in Caucasian: a meta-analysis. Inflammation Research. 64(10). 825–831. 4 indexed citations
17.
Wu, Pengbo, et al.. (2015). Interactions of smoking with rs833061 polymorphism on the risk of non-alcoholic fat liver disease in Hubei Han population: a preliminary case-control study.. PubMed. 18(11). 1112–7. 3 indexed citations
18.
Wang, Jun, Xufeng Guo, Pengbo Wu, et al.. (2013). Association between the Pro12Ala polymorphism of PPAR-γ gene and the non-alcoholic fatty liver disease: A meta-analysis. Gene. 528(2). 328–334. 14 indexed citations
19.
Wu, Pengbo, et al.. (2013). Su1678 Autophagy As a Therapeutic Target for Rats With Hepatic Fibrosis. Gastroenterology. 144(5). S–995. 1 indexed citations
20.
Li, Jian, Ting Xu, Pengbo Wu, Jing Lu, & Yao Tang. (2010). 4-(2-Oxa-6-azaspiro[3.3]hept-6-yl)benzonitrile. Acta Crystallographica Section E Structure Reports Online. 66(5). o1179–o1179. 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.

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