Swan N. Thung

31.7k total citations · 7 hit papers
320 papers, 17.0k citations indexed

About

Swan N. Thung is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Swan N. Thung has authored 320 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Hepatology, 149 papers in Epidemiology and 95 papers in Surgery. Recurrent topics in Swan N. Thung's work include Liver Disease Diagnosis and Treatment (104 papers), Hepatitis B Virus Studies (66 papers) and Hepatocellular Carcinoma Treatment and Prognosis (55 papers). Swan N. Thung is often cited by papers focused on Liver Disease Diagnosis and Treatment (104 papers), Hepatitis B Virus Studies (66 papers) and Hepatocellular Carcinoma Treatment and Prognosis (55 papers). Swan N. Thung collaborates with scholars based in United States, Spain and Italy. Swan N. Thung's co-authors include Myron Schwartz, Michael A. Gerber, Josep M. Llovet, Fenton Schaffner, Sasan Roayaie, Augusto Villanueva, Neil D. Theise, Nancy Bach, Scott L. Friedman and Vincenzo Mazzaferro and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Swan N. Thung

313 papers receiving 16.6k citations

Hit Papers

Identification of an Immu... 1991 2026 2002 2014 2017 2007 1999 2009 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swan N. Thung United States 69 7.5k 6.4k 4.3k 4.2k 2.9k 320 17.0k
Masamichi Kojiro Japan 66 8.3k 1.1× 5.0k 0.8× 4.2k 1.0× 3.6k 0.8× 3.3k 1.1× 281 15.6k
Paulette Bioulac‐Sage France 62 7.2k 1.0× 4.7k 0.7× 4.4k 1.0× 6.2k 1.5× 3.4k 1.2× 353 16.9k
Young Nyun Park South Korea 64 6.8k 0.9× 5.4k 0.8× 3.6k 0.8× 3.7k 0.9× 2.7k 0.9× 391 14.5k
Joel K. Greenson United States 63 3.6k 0.5× 5.7k 0.9× 4.3k 1.0× 2.9k 0.7× 4.3k 1.5× 201 15.8k
Osamu Yokosuka Japan 63 11.6k 1.5× 10.5k 1.6× 2.9k 0.7× 3.3k 0.8× 2.9k 1.0× 668 19.0k
Kiwamu Okita Japan 56 6.7k 0.9× 4.7k 0.7× 3.3k 0.8× 2.3k 0.6× 2.1k 0.7× 297 12.4k
Mengchao Wu China 59 5.2k 0.7× 3.3k 0.5× 3.5k 0.8× 4.8k 1.1× 3.7k 1.3× 312 13.7k
Sheung Tat Fan Hong Kong 79 9.6k 1.3× 5.1k 0.8× 7.0k 1.6× 5.8k 1.4× 5.5k 1.9× 356 20.5k
Linda D. Ferrell United States 60 10.3k 1.4× 13.0k 2.0× 6.6k 1.5× 2.9k 0.7× 2.2k 0.8× 222 21.7k
Jung‐Hwan Yoon South Korea 59 6.8k 0.9× 6.7k 1.0× 2.8k 0.6× 2.8k 0.7× 2.1k 0.7× 425 13.6k

Countries citing papers authored by Swan N. Thung

Since Specialization
Citations

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

Fields of papers citing papers by Swan N. Thung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swan N. Thung. 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 Swan N. Thung. The network helps show where Swan N. Thung may publish in the future.

Co-authorship network of co-authors of Swan N. Thung

This figure shows the co-authorship network connecting the top 25 collaborators of Swan N. Thung. A scholar is included among the top collaborators of Swan N. Thung 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 Swan N. Thung. Swan N. Thung 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.
Choi, Joon Hyuk & Swan N. Thung. (2024). Recent Advances in Pathology of Intrahepatic Cholangiocarcinoma. Cancers. 16(8). 1537–1537. 10 indexed citations
2.
Chava, Srinivas, P. Ferraris, Yücel Aydın, et al.. (2024). Mechanisms of Sorafenib Resistance in HCC Culture Relate to the Impaired Membrane Expression of Organic Cation Transporter 1 (OCT1). Journal of Hepatocellular Carcinoma. Volume 11. 839–855. 3 indexed citations
3.
Vogel, Alexander S., et al.. (2023). Two DeLIVERies and a transplant: Case report of acute fatty liver of pregnancy requiring liver transplant. Clinical Liver Disease. 22(6). 233–237. 1 indexed citations
4.
Facciuto, Marcelo, Manoj K. Singh, Nir Lubezky, et al.. (2014). Tumors With Intrahepatic Bile Duct Differentiation in Cirrhosis. Transplantation. 99(1). 151–157. 47 indexed citations
5.
Lachenmayer, Anja, Clara Alsinet, Radoslav Savić, et al.. (2012). Wnt-Pathway Activation in Two Molecular Classes of Hepatocellular Carcinoma and Experimental Modulation by Sorafenib. Clinical Cancer Research. 18(18). 4997–5007. 230 indexed citations
6.
Vetter, Diana, Michal Cohen‐Naftaly, Augusto Villanueva, et al.. (2012). Enhanced hepatocarcinogenesis in mouse models and human hepatocellular carcinoma by coordinate KLF6 depletion and increased messenger RNA splicing. Hepatology. 56(4). 1361–1370. 30 indexed citations
7.
Villanueva, Augusto, Clara Alsinet, Kilangsungla Yanger, et al.. (2012). Notch Signaling Is Activated in Human Hepatocellular Carcinoma and Induces Tumor Formation in Mice. Gastroenterology. 143(6). 1660–1669.e7. 248 indexed citations
8.
Villanueva, Augusto, Yujin Hoshida, Carlo Battiston, et al.. (2011). Combining Clinical, Pathology, and Gene Expression Data to Predict Recurrence of Hepatocellular Carcinoma. Gastroenterology. 140(5). 1501–1512.e2. 312 indexed citations
9.
Toffanin, Sara, Yujin Hoshida, Anja Lachenmayer, et al.. (2011). MicroRNA-Based Classification of Hepatocellular Carcinoma and Oncogenic Role of miR-517a. Gastroenterology. 140(5). 1618–1628.e16. 171 indexed citations
10.
Ward, Stephen C., Thomas D. Schiano, Swan N. Thung, & Maria Isabel Fiel. (2009). Plasma Cell Hepatitis in Hepatitis C Virus Patients Post-Liver Transplantation. Liver Transplantation. 15(12). 1826–1833. 31 indexed citations
11.
Guido, Maria, Tania Roskams, Patrizia Pontisso, et al.. (2007). Squamous cell carcinoma antigen in human liver carcinogenesis. Journal of Clinical Pathology. 61(4). 445–447. 68 indexed citations
12.
Wurmbach, Elisa, Ying‐Bei Chen, Greg Khitrov, et al.. (2007). Genome‐wide molecular profiles of HCV‐induced dysplasia and hepatocellular carcinoma†. Hepatology. 45(4). 938–947. 559 indexed citations breakdown →
14.
Akhter, Sohail, Huifeng Liu, Frank O. Bastian, et al.. (2003). Epstein–Barr virus and human hepatocellular carcinoma. Cancer Letters. 192(1). 49–57. 20 indexed citations
15.
Theise, Neil D., Young Nyun Park, Swan N. Thung, Massimo Roncalli, & Mauro Borzio. (2000). 'Vascular profiles' of regenerative and dysplastic nodules [3] (multiple letters). Hepatology. 31(6). 1380–1381. 1 indexed citations
16.
Tsui, Wilson M. S., Romano Colombari, Bernard Portmann, et al.. (1999). Hepatic Angiomyolipoma. The American Journal of Surgical Pathology. 23(1). 34–48. 256 indexed citations
17.
Thung, Swan N., et al.. (1998). Epithelioid hemangioendothelioma of the liver mimicking Budd-Chiari syndrome.. PubMed. 122(9). 846–8. 11 indexed citations
18.
Thung, Swan N. & Michael A. Gerber. (1995). Differential diagnosis in pathology : liver disorders. 5 indexed citations
20.
Lockwood, Charles J., Andrew E. Senyei, M. Renate Dische, et al.. (1991). Fetal Fibronectin in Cervical and Vaginal Secretions as a Predictor of Preterm Delivery. New England Journal of Medicine. 325(10). 669–674. 498 indexed citations breakdown →

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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