Huaner Ni

980 total citations · 1 hit paper
13 papers, 728 citations indexed

About

Huaner Ni is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Huaner Ni has authored 13 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Huaner Ni's work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (4 papers) and Cardiac Arrhythmias and Treatments (2 papers). Huaner Ni is often cited by papers focused on Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (4 papers) and Cardiac Arrhythmias and Treatments (2 papers). Huaner Ni collaborates with scholars based in China, United States and Poland. Huaner Ni's co-authors include Shuang Xu, Bei Liu, Di Wang, Yi Wang, Jumo Zhu, Lili Zhang, Zhiyan Wang, Qiuyan Dai, Weifeng Li and Shen Gu and has published in prestigious journals such as ACS Nano, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Huaner Ni

12 papers receiving 725 citations

Hit Papers

Exosomes from nicotine-stimulated macrophages accelerate ... 2019 2026 2021 2023 2019 100 200 300

Peers

Huaner Ni
Comparison fields: 5 of 88
  • Molecular Biology 588
  • Cancer Research 369
  • Immunology 143
  • Cardiology and Cardiovascular Medicine 81
  • Surgery 49
Replace Jes‐Niels Boeckel with:
Jes‐Niels Boeckel Germany
Haiwei Qiu China
Eric P. van der Veer Netherlands
Chaofu Li China
Guokun Wang China
Ding-Yu Lee Taiwan
Floriana Maria Farina Italy
Yasue Fukushima Japan
Lingping Zhu China
Jes‐Niels Boeckel Germany View profile →
Citations per field, relative to Huaner Ni
Huaner Ni · 1×
Citations per year, relative to Huaner Ni
Huaner Ni · 1×

Countries citing papers authored by Huaner Ni

Since Specialization
Citations

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

Fields of papers citing papers by Huaner Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaner Ni

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 4
3 14
4 36
5 98
6 11
7 21
8 116
9
Exosomes from nicotine-stimulated macrophages accelerate atherosclerosis through miR-21-3p/PTEN-mediated VSMC migration and proliferation breakdown →
326
10 80
11 17
12 4
13 1

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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