S. Q. Yang

872 citations
6 papers · 732 · h-index 6

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

    • Pancreatic function and diabetes 3
    • Organ Transplantation Techniques and Outcomes 2
    • Liver physiology and pathology 5
    • Liver Disease and Transplantation 1

S. Q. Yang

6 papers receiving 714 citations

Peers

S. Q. Yang
Comparison fields: 5 of 63
  • Hepatology 428
  • Epidemiology 378
  • Pharmacology 67
  • Surgery 246
  • Cancer Research 76
Replace John Brooling with:
John Brooling United States
Tim Rakemann Germany
Carylyn J. Marek United Kingdom
Raquel Maeso‐Díaz Spain
Jana Hundertmark Germany
Rania Dayoub Germany
Cyrille Gallois France
Jennifer Demieville United States
Aastha Jindal Italy
Mehdi Ramezani–Moghadam Australia
S. Q. Yang relative to John Brooling United States John Brooling's profile →
Citations per field
00.5×1.5×
John Brooling · 1×
Citations per year

Countries citing papers authored by S. Q. Yang

Since Specialization
Citations

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

Fields of papers citing papers by S. Q. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Q. Yang. 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 S. Q. Yang. The network helps show where S. Q. Yang may publish in the future.

Co-authors

The 14 scholars most cited alongside S. Q. Yang, 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 S. Q. Yang Line = papers co-authored together S. Q. Yang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1992333
2
Hepatic hyperplasia in noncirrhotic fatty livers: is obesity-related hepatic steatosis a premalignant condition?
2001137
3 1994101
4
Regenerative changes in C/EBP alpha and C/EBP beta expression modulate binding to the C/EBP site in the c-fos promoter.
199477
5 199742
6 199242

About S. Q. Yang

S. Q. Yang is a scholar working on Surgery, Hepatology, Epidemiology, Oncology and Pharmacology, having authored 6 papers that have together received 732 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Pancreatic function and diabetes (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Liver Disease and Transplantation (1 paper), Diet, Metabolism, and Disease (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Hepatology (428 citations), Epidemiology (378 citations), Pharmacology (67 citations), Surgery (246 citations) and Cancer Research (76 citations). S. Q. Yang has collaborated with scholars based in United States. Frequent co-authors include Anna Mae Diehl, G. J. Bagby, Sally Nelson, Christopher B. McClain, Paul Akerman, Hui Lin, V. P. Chacko, Jaquelyn Fleckenstein, David A. Brenner and John Westwick. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Clinical Investigation, Gastroenterology and PubMed.

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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