Feng Su

615 citations
13 papers · 428 · h-index 8

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies
    • HIV, Drug Use, Sexual Risk

Papers in

    • Liver Disease Diagnosis and Treatment 6
    • Hepatitis B Virus Studies 5
    • Hepatitis C virus research 6

Feng Su

13 papers receiving 422 citations

Peers

Feng Su
Comparison fields: 5 of 60
  • Hepatology 337
  • Epidemiology 322
  • Infectious Diseases 44
  • Reproductive Medicine 17
  • Sensory Systems 9
Replace Madeline Carrellas with:
Madeline Carrellas United States
J. Larriba Argentina
Tiziana Tieghi Italy
Fotios S. Fousekis Greece
Amanullah Abbasi Pakistan
Archana Bhatt United States
R. Cuppone Italy
M. Lagget Italy
Antonio Carlotto Italy
Kimberly Ramirez United States
Feng Su relative to Madeline Carrellas United States Madeline Carrellas's profile →
Citations per field
00.5×10×14.8×
Madeline Carrellas · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Feng Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng Su Line = papers co-authored together Feng Su links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016171
2 201657
3 201655
4 201745
5 201339
6 201920
7 201519
8 20189
9 19994
10 20213
11 20163
12 20172
13 19981

About Feng Su

Feng Su is a scholar working on Epidemiology, Hepatology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 428 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis B Virus Studies (5 papers), Coronary Interventions and Diagnostics (1 paper), Airway Management and Intubation Techniques (1 paper), Alcohol Consumption and Health Effects (1 paper), Medical Imaging Techniques and Applications (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Hepatology (337 citations), Epidemiology (322 citations), Infectious Diseases (44 citations), Reproductive Medicine (17 citations) and Sensory Systems (9 citations). Feng Su has collaborated with scholars based in United States, China and Canada. Frequent co-authors include George N. Ioannou, Pamela K. Green, Kristin Berry, Judith I. Tsui, Lauren A. Beste, Michael F. Chang, Elliott Lowy, Emily C. Williams, Fusheng Quan and Bin Wu. Their work appears in journals such as Hepatology, Anesthesia & Analgesia, Drug and Alcohol Dependence, European Journal of Gastroenterology & Hepatology and Anesthesiology.

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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