Nan Wu

2.3k total citations
65 papers, 1.6k citations indexed

About

Nan Wu is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Nan Wu has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Hepatology, 29 papers in Surgery and 21 papers in Epidemiology. Recurrent topics in Nan Wu's work include Liver physiology and pathology (21 papers), Liver Disease Diagnosis and Treatment (21 papers) and Pediatric Hepatobiliary Diseases and Treatments (19 papers). Nan Wu is often cited by papers focused on Liver physiology and pathology (21 papers), Liver Disease Diagnosis and Treatment (21 papers) and Pediatric Hepatobiliary Diseases and Treatments (19 papers). Nan Wu collaborates with scholars based in United States, China and Italy. Nan Wu's co-authors include Gianfranco Alpini, Shannon Glaser, Fanyin Meng, Tianhao Zhou, Heather Francis, Julie Venter, Lindsey Kennedy, Konstantina Kyritsi, Paolo Onori and Eugenio Gaudio and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Hepatology.

In The Last Decade

Nan Wu

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Wu United States 25 525 522 432 375 208 65 1.6k
Keisaku Sato United States 22 550 1.0× 498 1.0× 599 1.4× 544 1.5× 362 1.7× 48 1.7k
Lucia Russo United States 18 304 0.6× 650 1.2× 292 0.7× 723 1.9× 409 2.0× 33 1.8k
Martin Hennenberg Germany 24 935 1.8× 869 1.7× 445 1.0× 448 1.2× 69 0.3× 110 2.2k
Karine Hellemans Belgium 24 521 1.0× 496 1.0× 615 1.4× 537 1.4× 80 0.4× 39 1.5k
JingHong Wan France 14 326 0.6× 716 1.4× 184 0.4× 431 1.1× 103 0.5× 18 1.6k
Marion Peyrou Spain 18 185 0.4× 577 1.1× 207 0.5× 586 1.6× 206 1.0× 33 1.5k
Matteo Marconi Italy 17 256 0.5× 337 0.6× 242 0.6× 486 1.3× 170 0.8× 44 1.3k
Emma Kruglov United States 18 451 0.9× 339 0.6× 433 1.0× 317 0.8× 44 0.2× 25 1.1k
Richard Fischer Germany 22 756 1.4× 760 1.5× 403 0.9× 575 1.5× 118 0.6× 32 2.1k
Li Bai China 19 237 0.5× 359 0.7× 181 0.4× 288 0.8× 128 0.6× 74 1.1k

Countries citing papers authored by Nan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Wu. A scholar is included among the top collaborators of Nan 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 Nan Wu. Nan 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.
Wang, Xiaoxiao, et al.. (2024). Hub Genes Involved in the Progression of Nonalcoholic Fatty Liver Disease to Hepatocellular Carcinoma. Current Medicinal Chemistry. 32(23). 4786–4804. 1 indexed citations
2.
3.
Wu, Nan, Tianhao Zhou, Guido Carpino, et al.. (2023). Prolonged administration of a secretin receptor antagonist inhibits biliary senescence and liver fibrosis in Mdr2−/− mice. Hepatology. 77(6). 1849–1865. 6 indexed citations
4.
Kundu, Debjyoti, Lindsey Kennedy, Tianhao Zhou, et al.. (2023). p16 INK4A drives nonalcoholic fatty liver disease phenotypes in high fat diet fed mice through biliary E2F1/FOXO1/IGF-1 signaling. Hepatology. 78(1). 243–257. 12 indexed citations
5.
Ceci, Ludovica, Yuyan Han, Leonardo Baiocchi, et al.. (2023). Gallstone and Gallbladder Disease: Biliary Tract and Cholangiopathies. Comprehensive physiology. 13(3). 4909–4943. 6 indexed citations
6.
Ceci, Ludovica, Lixian Chen, Leonardo Baiocchi, et al.. (2022). Prolonged Administration of Melatonin Ameliorates Liver Phenotypes in Cholestatic Murine Model. Cellular and Molecular Gastroenterology and Hepatology. 14(4). 877–904. 6 indexed citations
7.
Baiocchi, Leonardo, Nan Wu, Burcin Ekser, et al.. (2020). Kupffer Cells. American Journal Of Pathology. 190(11). 2185–2193. 107 indexed citations
8.
Meadows, Vik, Lindsey Kennedy, Laura Hargrove, et al.. (2019). Downregulation of hepatic stem cell factor by Vivo-Morpholino treatment inhibits mast cell migration and decreases biliary damage/senescence and liver fibrosis in Mdr2−/− mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(12). 165557–165557. 30 indexed citations
9.
10.
Li, Lijuan, et al.. (2019). Clinicopathologic and molecular characteristics of 44 patients with pure secretory breast carcinoma. Cancer Biology and Medicine. 16(1). 139–139. 19 indexed citations
11.
Kennedy, Lindsey, Heather Francis, Pietro Invernizzi, et al.. (2019). Secretin/secretin receptor signaling mediates biliary damage and liver fibrosis in early‐stage primary biliary cholangitis. The FASEB Journal. 33(9). 10269–10279. 33 indexed citations
12.
Wu, Nan, et al.. (2018). Associations Between IL-10 Polymorphisms and Susceptibility to Melanoma, Basal Cell Carcinoma, and Squamous Cell Carcinoma: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 22(12). 693–701. 3 indexed citations
13.
Zhou, Tianhao, Nan Wu, Fanyin Meng, et al.. (2018). Knockout of secretin receptor reduces biliary damage and liver fibrosis in Mdr2−/− mice by diminishing senescence of cholangiocytes. Laboratory Investigation. 98(11). 1449–1464. 41 indexed citations
14.
Wu, Nan, Fanyin Meng, Tianhao Zhou, et al.. (2018). The Secretin/Secretin Receptor Axis Modulates Ductular Reaction and Liver Fibrosis through Changes in Transforming Growth Factor-β1–Mediated Biliary Senescence. American Journal Of Pathology. 188(10). 2264–2280. 30 indexed citations
15.
Kyritsi, Konstantina, Fanyin Meng, Tianhao Zhou, et al.. (2017). Knockdown of Hepatic Gonadotropin-Releasing Hormone by Vivo-Morpholino Decreases Liver Fibrosis in Multidrug Resistance Gene 2 Knockout Mice by Down-Regulation of miR-200b. American Journal Of Pathology. 187(7). 1551–1565. 17 indexed citations
16.
Wu, Nan, Ying Wan, Julie Venter, et al.. (2017). The Hippo signaling functions through the Notch signaling to regulate intrahepatic bile duct development in mammals. Laboratory Investigation. 97(7). 843–853. 45 indexed citations
17.
McDaniel, Kelly, Li Huang, Keisaku Sato, et al.. (2017). The let-7/Lin28 axis regulates activation of hepatic stellate cells in alcoholic liver injury. Journal of Biological Chemistry. 292(27). 11336–11347. 57 indexed citations
18.
Han, Yuyan, Fanyin Meng, Julie Venter, et al.. (2016). miR-34a-dependent overexpression of Per1 decreases cholangiocarcinoma growth. Journal of Hepatology. 64(6). 1295–1304. 79 indexed citations
19.
Venter, Julie, Heather Francis, Fanyin Meng, et al.. (2015). Development and functional characterization of extrahepatic cholangiocyte lines from normal rats. Digestive and Liver Disease. 47(11). 964–972. 9 indexed citations
20.
Liu, Feng, Zhida Liu, Nan Wu, et al.. (2009). Transplanted endothelial progenitor cells ameliorate carbon tetrachloride–induced liver cirrhosis in rats. Liver Transplantation. 15(9). 1092–1100. 35 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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