Longyan Yang

1.2k citations
70 papers · 837 · h-index 19

Impact in

Papers in

Longyan Yang

62 papers receiving 832 citations

Peers

Longyan Yang
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 218
  • Cancer Research 145
  • Cardiology and Cardiovascular Medicine 172
  • Molecular Biology 323
  • Health Informatics 6
Replace Gang Ren with:
Gang Ren China
Yi Fu China
Julie Nigro Australia
Yanjuan Zhu China
Meimei Yin United States
Marie-Ann Ewart United Kingdom
Xiaokun Wang China
Ho Seon Park South Korea
Jiang‐Yun Luo China
Ruisheng Song United States
Longyan Yang relative to Gang Ren China Gang Ren's profile →
Citations per field
00.5×1.5×2.1×
Gang Ren · 1×
Citations per year

Countries citing papers authored by Longyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Longyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202251
2 201948
3 202241
4 201138
5 202135
6 201535
7 202035
8 202333
9 202033
10 201233
11 201531
12 201627
13 202223
14 201622
15 202022
16 202021
17 201721
18 201921
19 202119
20 201317

About Longyan Yang

Longyan Yang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Epidemiology, having authored 70 papers that have together received 837 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (16 papers), Liver Disease Diagnosis and Treatment (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cancer-related molecular mechanisms research (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer, Lipids, and Metabolism (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (218 citations), Cancer Research (145 citations), Cardiology and Cardiovascular Medicine (172 citations), Molecular Biology (323 citations) and Health Informatics (6 citations). Longyan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dong Zhao, Ruili Yin, Lijie Zhang, Yongsong Xu, Yuanyuan Zhang, Junqi He, Dong Zhao, Jing Ke, Duiping Feng and Yan Ma. Their work appears in journals such as Diabetology & Metabolic Syndrome, Frontiers in Endocrinology, Scientific Reports, Diabetes and Cancer Cell International.

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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