Feng Su

615 total citations
13 papers, 428 citations indexed

About

Feng Su is a scholar working on Epidemiology, Hepatology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Feng Su has authored 13 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Hepatology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Feng Su's work include Liver Disease Diagnosis and Treatment (6 papers), Hepatitis C virus research (6 papers) and Hepatitis B Virus Studies (5 papers). Feng Su is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Hepatitis C virus research (6 papers) and Hepatitis B Virus Studies (5 papers). Feng Su collaborates with scholars based in United States, China and Canada. Feng Su's co-authors include George N. Ioannou, Kristin Berry, Pamela K. Green, Judith I. Tsui, Lauren A. Beste, Michael F. Chang, Elliott Lowy, Emily C. Williams, Jun Liu and Bin Wu and has published in prestigious journals such as Gastroenterology, Hepatology and Anesthesiology.

In The Last Decade

Feng Su

13 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Su United States 8 337 322 44 28 27 13 428
Jatinder Pruthi India 5 145 0.4× 105 0.3× 16 0.4× 9 0.3× 19 0.7× 9 324
Hesham M. Elgouhari United States 6 175 0.5× 249 0.8× 13 0.3× 12 0.4× 13 0.5× 13 303
Antonio Carlotto Italy 7 265 0.8× 324 1.0× 65 1.5× 9 0.3× 24 0.9× 13 360
Archana Bhatt United States 10 318 0.9× 633 2.0× 43 1.0× 23 0.8× 50 1.9× 16 729
Kubilay Çınar Türkiye 13 248 0.7× 253 0.8× 48 1.1× 4 0.1× 21 0.8× 38 441
S. Carenzi Italy 7 409 1.2× 459 1.4× 32 0.7× 7 0.3× 9 0.3× 14 488
Amanullah Abbasi Pakistan 11 127 0.4× 131 0.4× 63 1.4× 70 2.5× 10 0.4× 37 319
M. Lagget Italy 14 381 1.1× 424 1.3× 51 1.2× 14 0.5× 14 0.5× 27 516
J. Larriba Argentina 7 144 0.4× 146 0.5× 15 0.3× 62 2.2× 30 1.1× 8 353
Bülent Değertekın Türkiye 12 336 1.0× 411 1.3× 71 1.6× 3 0.1× 20 0.7× 25 519

Countries citing papers authored by Feng Su

Since Specialization
Citations

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

Fields of papers citing papers by Feng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Su

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

All Works

13 of 13 papers shown
2.
Su, Feng & George N. Ioannou. (2019). Hepatocellular Carcinoma Risk After Direct‐Acting Antiviral Therapy. Clinical Liver Disease. 13(1). 6–12. 20 indexed citations
3.
Su, Feng & George N. Ioannou. (2018). The Impact of Direct-acting Antiviral Therapy for Hepatitis C on Hepatocellular Carcinoma Risk. Current Hepatology Reports. 17(4). 377–384. 9 indexed citations
4.
Lee, Ting‐Yim, et al.. (2017). Ultra-Low-Dose Sparse-View Quantitative CT Liver Perfusion Imaging. Tomography. 3(4). 175–179. 2 indexed citations
5.
Su, Feng, Lauren A. Beste, Pamela K. Green, Kristin Berry, & George N. Ioannou. (2017). Direct-acting antivirals are effective for chronic hepatitis C treatment in elderly patients: a real-world study of 17 487 patients. European Journal of Gastroenterology & Hepatology. 29(6). 686–693. 45 indexed citations
7.
Tsui, Judith I., Emily C. Williams, Pamela K. Green, et al.. (2016). Alcohol use and hepatitis C virus treatment outcomes among patients receiving direct antiviral agents. Drug and Alcohol Dependence. 169. 101–109. 55 indexed citations
8.
Su, Feng, Pamela K. Green, Kristin Berry, & George N. Ioannou. (2016). The association between race/ethnicity and the effectiveness of direct antiviral agents for hepatitis C virus infection. Hepatology. 65(2). 426–438. 57 indexed citations
9.
10.
Zhang, Yunjiao, Nan Ma, Feng Su, Hao Liu, & Ju Mei. (2015). Increased TRPM6 expression in atrial fibrillation patients contribute to atrial fibrosis. Experimental and Molecular Pathology. 98(3). 486–490. 19 indexed citations
11.
Qiu, Mingning, Fusheng Quan, Bin Wu, et al.. (2013). Effects of granulosa cells on steroidogenesis, proliferation and apoptosis of stromal cells and theca cells derived from the goat ovary. The Journal of Steroid Biochemistry and Molecular Biology. 138. 325–333. 39 indexed citations
12.
Su, Feng, et al.. (1999). The "Second Gas Effect" Is Not a Valid Concept. Anesthesia & Analgesia. 88(1). 188–192. 4 indexed citations
13.
Su, Feng, et al.. (1998). THE "SECOND GAS EFFECT" IS A NONEXISTENT PHENOMENON IN CLINICAL ANESTHESIA. Anesthesiology. 89(Supplement). 1211A–1211A. 1 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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