Aiting Yang

1.0k citations
29 papers · 753 · h-index 15

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver physiology and pathology 19
    • Liver Disease and Transplantation 2
    • Microbial metabolism and enzyme function 6

Aiting Yang

27 papers receiving 744 citations

Peers

Aiting Yang
Comparison fields: 5 of 68
  • Hepatology 269
  • Epidemiology 196
  • Cancer Research 72
  • Cell Biology 65
  • Oncology 97
Replace Daniel Caballero‐Díaz with:
Daniel Caballero‐Díaz Spain
Carmen G. Tag Germany
Mary Ann S. Crissey United States
Thiago M. de Assuncao United States
Leandi Krüger United States
Iris Sawitza Germany
Adil El Taghdouini Belgium
Gregory Khitrov United States
Hiroyuki Fuke Japan
Tirthadipa Pradhan‐Sundd United States
Aiting Yang relative to Daniel Caballero‐Díaz Spain Daniel Caballero‐Díaz's profile →
Citations per field
00.5×3.8×
Daniel Caballero‐Díaz · 1×
Citations per year

Countries citing papers authored by Aiting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Aiting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aiting 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 Aiting Yang Line = papers co-authored together Aiting Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020191
2 202287
3 201871
4 201743
5 201337
6 201934
7 201031
8 202129
9 201727
10 201927
11 201926
12 202122
13 202320
14 201519
15 201917
16 201514
17 201310
18 201410
19 20249
20 20246

About Aiting Yang

Aiting Yang is a scholar working on Hepatology, Molecular Biology, Epidemiology, Surgery and Immunology, having authored 29 papers that have together received 753 indexed citations. Recurring topics across this work include Liver physiology and pathology (19 papers), Liver Disease Diagnosis and Treatment (8 papers), Microbial metabolism and enzyme function (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Liver Disease and Transplantation (2 papers), Hepatitis B Virus Studies (2 papers) and Abdominal vascular conditions and treatments (2 papers). The work is most often cited by research in Hepatology (269 citations), Epidemiology (196 citations), Cancer Research (72 citations), Cell Biology (65 citations) and Oncology (97 citations). Aiting Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hong You, Wei Chen, Jidong Jia, Xuzhen Yan, Detlef Schuppan, Yury Popov, Anjian Xu, Min Cong, Tianhui Liu and Wenshan Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Hepatology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Cellular Physiology and Stem Cell Research & Therapy.

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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