Yang Long

2.3k total citations · 2 hit papers
72 papers, 1.6k citations indexed

About

Yang Long is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yang Long has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yang Long's work include Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (6 papers) and Diet, Metabolism, and Disease (5 papers). Yang Long is often cited by papers focused on Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (6 papers) and Diet, Metabolism, and Disease (5 papers). Yang Long collaborates with scholars based in China, Macao and United States. Yang Long's co-authors include Yong Xu, Zongzhe Jiang, Jinjin Zhang, Yun Hou, Hongqin Zhang, Lianshuang Zhang, Xifeng Wang, Nana Wang, Feibo Xu and Guohua Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Yang Long

64 papers receiving 1.6k citations

Hit Papers

Polystyrene microplastics cause granulosa cells apoptosis... 2020 2026 2022 2024 2020 2023 100 200 300

Peers

Yang Long
Comparison fields: 5 of 127
  • Molecular Biology 496
  • Pollution 267
  • Epidemiology 247
  • Physiology 206
  • Biomedical Engineering 205
Replace Caixia Guo with:
Caixia Guo China
Yang Long China
Vittoria D’Esposito Italy
Jiahui Fan China
Andrei Maiseyeu United States
Xiaoying Lin China
Hailong Hu China
Hongyan Zhao China
Caixia Guo China View profile →
Citations per field, relative to Yang Long
Yang Long · 1×
Citations per year, relative to Yang Long
Yang Long · 1×

Countries citing papers authored by Yang Long

Since Specialization
Citations

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

Fields of papers citing papers by Yang Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Long

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Long. A scholar is included among the top collaborators of Yang Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yang Long. Yang Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 0
3 0
4 0
5 1
6 24
7 4
8 4
9 15
10 4
11 2
12 18
13 1
14
The role of oxidative stress in diabetes mellitus-induced vascular endothelial dysfunction breakdown →
171
15 20
16 3
17 20
18 41
19 11
20 33

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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