Huangbing Wu

861 total citations
26 papers, 677 citations indexed

About

Huangbing Wu is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Huangbing Wu has authored 26 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 10 papers in Surgery and 6 papers in Cancer Research. Recurrent topics in Huangbing Wu's work include Pancreatic and Hepatic Oncology Research (14 papers), Pancreatitis Pathology and Treatment (10 papers) and Inflammatory mediators and NSAID effects (5 papers). Huangbing Wu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Pancreatitis Pathology and Treatment (10 papers) and Inflammatory mediators and NSAID effects (5 papers). Huangbing Wu collaborates with scholars based in United States, Taiwan and Russia. Huangbing Wu's co-authors include Michele Yip-Schneider, C. Max Schmidt, Tsui‐Hwa Tseng, Chunyu Chu, Erl‐Shyh Kao, Rosalie A. Carr, Peter A. Crooks, Narasimhan P. Agaram, Max Schmidt and Milan Radovich and has published in prestigious journals such as Hepatology, Cancer Letters and Food and Chemical Toxicology.

In The Last Decade

Huangbing Wu

25 papers receiving 642 citations

Peers

Huangbing Wu
Ji Hye Kim South Korea
G D Stoner United States
Tae Woo Kim South Korea
Jochen Rutz Germany
Huangbing Wu
Citations per year, relative to Huangbing Wu Huangbing Wu (= 1×) peers Yuan‐Chiang Chung

Countries citing papers authored by Huangbing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huangbing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huangbing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huangbing Wu. A scholar is included among the top collaborators of Huangbing 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 Huangbing Wu. Huangbing 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.
Mosley, Amber L., Ehsan Irajizad, Michele Yip-Schneider, et al.. (2025). Cyst fluid proteins stratify malignant risk of intraductal papillary mucinous neoplasm of the pancreas. Cancer Letters. 624. 217753–217753.
2.
Yip-Schneider, Michele, Rachel E. Simpson, Cameron L. Colgate, et al.. (2020). A Quantitative Global Proteomics Approach Identifies Candidate Urinary Biomarkers That Correlate With Intraductal Papillary Mucinous Neoplasm Dysplasia. Pancreas. 49(8). 1044–1051. 3 indexed citations
3.
Yip-Schneider, Michele, et al.. (2019). Performance of candidate urinary biomarkers for pancreatic cancer - Correlation with pancreatic cyst malignant progression?. The American Journal of Surgery. 219(3). 492–495. 6 indexed citations
5.
Yip-Schneider, Michele, Rachel E. Simpson, Rosalie A. Carr, et al.. (2018). Circulating Leptin and Branched Chain Amino Acids—Correlation with Intraductal Papillary Mucinous Neoplasm Dysplastic Grade. Journal of Gastrointestinal Surgery. 23(5). 966–974. 11 indexed citations
6.
Simpson, Rachel E., Michele Yip-Schneider, Huangbing Wu, et al.. (2018). Circulating Thrombospondin-2 enhances prediction of malignant intraductal papillary mucinous neoplasm. The American Journal of Surgery. 217(3). 425–428. 11 indexed citations
7.
Carr, Rosalie A., Michele Yip-Schneider, Rachel E. Simpson, et al.. (2017). Pancreatic cyst fluid glucose: rapid, inexpensive, and accurate diagnosis of mucinous pancreatic cysts. Surgery. 163(3). 600–605. 55 indexed citations
8.
Carr, Rosalie A., Michele Yip-Schneider, Scott C. Dolejs, et al.. (2017). Pancreatic Cyst Fluid Vascular Endothelial Growth Factor A and Carcinoembryonic Antigen: A Highly Accurate Test for the Diagnosis of Serous Cystic Neoplasm. Journal of the American College of Surgeons. 225(1). 93–100. 29 indexed citations
9.
Yip-Schneider, Michele, Rosalie A. Carr, Huangbing Wu, & Max Schmidt. (2017). Prostaglandin E2: A Pancreatic Fluid Biomarker of Intraductal Papillary Mucinous Neoplasm Dysplasia. Journal of the American College of Surgeons. 225(4). 481–487. 23 indexed citations
10.
Yip-Schneider, Michele, Huangbing Wu, Keith M. Stantz, et al.. (2013). Dimethylaminoparthenolide and gemcitabine: a survival study using a genetically engineered mouse model of pancreatic cancer. BMC Cancer. 13(1). 194–194. 36 indexed citations
11.
Yip-Schneider, Michele, Huangbing Wu, Ryan P. Dumas, et al.. (2013). Vascular Endothelial Growth Factor, a Novel and Highly Accurate Pancreatic Fluid Biomarker for Serous Pancreatic Cysts. Journal of the American College of Surgeons. 218(4). 608–617. 55 indexed citations
12.
Yip-Schneider, Michele, Huangbing Wu, Ralph H. Hruban, et al.. (2012). Efficacy of Dimethylaminoparthenolide and Sulindac in Combination With Gemcitabine in a Genetically Engineered Mouse Model of Pancreatic Cancer. Pancreas. 42(1). 160–167. 21 indexed citations
13.
Yip-Schneider, Michele, Courtney Doyle, Iain H. McKillop, et al.. (2011). Alcohol Induces Liver Neoplasia in a Novel Alcohol‐Preferring Rat Model. Alcoholism Clinical and Experimental Research. 35(12). 2216–2225. 20 indexed citations
14.
Ramachandran, P. Veeraraghavan, Debarshi Pratihar, Hari Nair, et al.. (2010). Tailored α-methylene-γ-butyrolactones and their effects on growth suppression in pancreatic carcinoma cells. Bioorganic & Medicinal Chemistry Letters. 20(22). 6620–6623. 25 indexed citations
15.
Yip-Schneider, Michele, Huangbing Wu, S. K. Hekmatyar, et al.. (2009). Targeting mitogen‐activated protein kinase kinase with the inhibitor PD0325901 decreases hepatocellular carcinoma growth in vitro and in mouse model systems†. Hepatology. 51(4). 1218–1225. 28 indexed citations
16.
Yip-Schneider, Michele, Huangbing Wu, Peter A. Crooks, et al.. (2008). Effect of Celecoxib and the Novel Anti-Cancer Agent, Dimethylamino-Parthenolide, in a Developmental Model of Pancreatic Cancer. Pancreas. 37(3). e45–e53. 26 indexed citations
17.
Yip-Schneider, Michele, Patrick Klein, Jesus M. Matos, et al.. (2008). Ethanol-TGFα-MEK Signaling Promotes Growth of Human Hepatocellular Carcinoma. Journal of Surgical Research. 154(2). 187–195. 14 indexed citations
18.
Wu, Huangbing, et al.. (2007). Targeting MEK is Effective Chemoprevention of Hepatocellular Carcinoma in TGF-α-Transgenic Mice. Journal of Gastrointestinal Surgery. 12(1). 30–37. 14 indexed citations
19.
Yip-Schneider, Michele, Huangbing Wu, Peter A. Crooks, et al.. (2007). Effect of Celecoxib and Novel Agent LC-1 in a Hamster Model of Lung Cancer. Journal of Surgical Research. 143(1). 169–176. 4 indexed citations
20.
Tseng, Tsui‐Hwa, et al.. (1997). Protective effects of dried flower extracts of Hibiscus sabdariffa L. against oxidative stress in rat primary hepatocytes. Food and Chemical Toxicology. 35(12). 1159–1164. 190 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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