Yuyan Lu

41 papers receiving 1.3k citations

Yuyan Lu's Hit Papers

Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies 2024 · 117 citations
1170+1Years since publication255075100

Peers

Yuyan Lu
Comparison fields: 5 of 107
  • Health Informatics 34
  • Physiology 362
  • Cardiology and Cardiovascular Medicine 302
  • Biochemistry 71
  • Epidemiology 279
Replace Yuan Guo with:
Yuan Guo China
Yin Liu China
Carmine Del Giudice Italy
Muhammad Arif Sweden
Khanh‐Van Tran United States
Nicholas Gall United Kingdom
Junshan Zhou China
Tim Seidler Germany
Gang Ren China
Min‐Chien Tsai Taiwan
Yuyan Lu relative to Yuan Guo China Yuan Guo's profile →
Citations per field
00.5×3.7×
Yuan Guo · 1×
Citations per year

Countries citing papers authored by Yuyan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yuyan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005250
2 2005123
3
Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies
Hit paper breakdown →
2024117
4 201984
5 202173
6 201959
7 202058
8 201756
9 200437
10 201730
11 201327
12 201824
13 201822
14
Aberrant USP11 expression regulates NF90 to promote proliferation and metastasis in hepatocellular carcinoma.
202022
15 201321
16 201920
17 201820
18 201920
19 201819
20 201319

About Yuyan Lu

Yuyan Lu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Oncology and Surgery, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (13 papers), Blood Pressure and Hypertension Studies (6 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related gene regulation (3 papers), Peptidase Inhibition and Analysis (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Peripheral Artery Disease Management (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Health Informatics (34 citations), Physiology (362 citations), Cardiology and Cardiovascular Medicine (302 citations), Biochemistry (71 citations) and Epidemiology (279 citations). Yuyan Lu has collaborated with scholars based in China, France and United States. Frequent co-authors include James G. Granneman, Pipeng Li, Zhengxian Zhu, Chengrong Xie, Zhenyu Yin, Yawei Xu, Jing Lü, Ruiqi Deng, Huita Wu and Jiadela Teliewubai. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Clinical Interventions in Aging, Journal of the American Society of Hypertension, Journal of the American Heart Association and Cancer Management and Research.

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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