Nianyue Wang

444 total citations
19 papers, 335 citations indexed

About

Nianyue Wang is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Nianyue Wang has authored 19 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Hepatology. Recurrent topics in Nianyue Wang's work include Liver Disease Diagnosis and Treatment (5 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Hepatitis B Virus Studies (3 papers). Nianyue Wang is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Hepatitis B Virus Studies (3 papers). Nianyue Wang collaborates with scholars based in China, United States and Hong Kong. Nianyue Wang's co-authors include Yijie Zheng, Hui Jiang, Wei Zhao, Cunling Yan, Xuan Liu, Yuan Fang, Nongyue He, Jiuhai Wang, Tian Yang and Hao Xing and has published in prestigious journals such as Analytical Chemistry, Clinical Chemistry and Digestive Diseases and Sciences.

In The Last Decade

Nianyue Wang

18 papers receiving 325 citations

Peers

Nianyue Wang
Comparison fields: 5 of 60
  • Molecular Biology 134
  • Hepatology 129
  • Epidemiology 114
  • Cancer Research 69
  • Biomedical Engineering 65
Replace Mehmet Haluk Morgül with:
Mehmet Haluk Morgül Germany
Guiming Shu China
Abigail Zabron United Kingdom
Yi Yan China
Sareh Zhand Australia
Beini Cen China
Ai Okajima Japan
Shoujie Zhao China
Emilia Bigaeva Netherlands
Xiaojun Tan China
Mehmet Haluk Morgül Germany View profile →
Citations per field, relative to Nianyue Wang
Nianyue Wang · 1×
Citations per year, relative to Nianyue Wang
Nianyue Wang · 1×

Countries citing papers authored by Nianyue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nianyue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nianyue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Nianyue Wang. A scholar is included among the top collaborators of Nianyue Wang 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 Nianyue Wang. Nianyue Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 3
2 80
3 34
4 15
5 22
6 25
7 51
8 28
9 7
10 7
11 16
12 9
13 2
14
[Clinical significance of measuring hepatitis B virus large surface protein in serum].
1
15 23
16 1
17 8
18
[Clinical application of avidin-biotin ELISA to detect serum hepatoma-specific gamma-glutamyltransferase in patients with primary hepatic cancer].
1
19 2

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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