Na Yang

609 total citations · 1 hit paper
25 papers, 421 citations indexed

About

Na Yang is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Na Yang has authored 25 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Na Yang's work include Liver Disease Diagnosis and Treatment (3 papers), Pelvic floor disorders treatments (2 papers) and GDF15 and Related Biomarkers (2 papers). Na Yang is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Pelvic floor disorders treatments (2 papers) and GDF15 and Related Biomarkers (2 papers). Na Yang collaborates with scholars based in China and South Korea. Na Yang's co-authors include Wei Li, Yuxiu Li, Lingling Xu, Fan Ping, Huabing Zhang, Liyun He, Jingyue Huang, Jialu Wang, Jing Jiang and Yangyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BioMed Research International.

In The Last Decade

Na Yang

23 papers receiving 414 citations

Hit Papers

Association of Glucagon-Like Peptide-1 Receptor Agonist U... 2022 2026 2023 2024 2022 50 100 150

Peers

Na Yang
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 161
  • Molecular Biology 108
  • Oncology 104
  • Pharmacology 87
  • Surgery 79
Replace Tomoe Kinoshita with:
Tomoe Kinoshita Japan
Johnny Nehmé France
Yuzhen Liang China
Süleyman Hilmi İpekçi Türkiye
Chad Hall United States
Mengsu Zeng China
Mika Sakaki Japan
S-L Wang China
Georgios Kyriakopoulos Greece
Tomoe Kinoshita Japan View profile →
Citations per field, relative to Na Yang
Na Yang · 1×
Citations per year, relative to Na Yang
Na Yang · 1×

Countries citing papers authored by Na Yang

Since Specialization
Citations

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

Fields of papers citing papers by Na Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Na Yang. A scholar is included among the top collaborators of Na Yang 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 Na Yang. Na Yang 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 2
2 1
3 0
4 3
5 4
6 1
7
Association of Glucagon-Like Peptide-1 Receptor Agonist Use With Risk of Gallbladder and Biliary Diseases breakdown →
175
8 8
9 38
10 8
11 9
12 12
13 5
14 2
15 22
16 12
17 11
18 59
19 12
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026