Ning An

1.3k citations
69 papers · 844 · h-index 18

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Inflammasome and immune disorders 5
    • Fibroblast Growth Factor Research 4
    • Chronic Kidney Disease and Diabetes 5

Ning An

63 papers receiving 836 citations

Peers

Ning An
Comparison fields: 5 of 89
  • Nephrology 120
  • Immunology 161
  • Rheumatology 97
  • Pathology and Forensic Medicine 77
  • Complementary and alternative medicine 35
Replace Chikara Ebisui with:
Chikara Ebisui Japan
Juan Cai China
Ravindra Rajakariar United Kingdom
Khawla Abu Samra United States
Renê Donizeti Ribeiro de Oliveira Brazil
Misaki Iwashita Japan
An Song China
Michael Thompson Australia
Hui Ding China
John R. Janczy United States
Ning An relative to Chikara Ebisui Japan Chikara Ebisui's profile →
Citations per field
00.5×10.7×
Chikara Ebisui · 1×
Citations per year

Countries citing papers authored by Ning An

Since Specialization
Citations

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

Fields of papers citing papers by Ning An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201781
2 201862
3 201759
4 201754
5 201847
6 202235
7 202229
8 201725
9 201125
10 202425
11 202223
12 202023
13 201823
14 201722
15 202122
16 202019
17 202018
18 202217
19 201416
20 202215

About Ning An

Ning An is a scholar working on Molecular Biology, Nephrology, Immunology, Infectious Diseases and Virology, having authored 69 papers that have together received 844 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (9 papers), HIV Research and Treatment (9 papers), HIV/AIDS Research and Interventions (7 papers), Autophagy in Disease and Therapy (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Inflammasome and immune disorders (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Fibroblast Growth Factor Research (4 papers). The work is most often cited by research in Nephrology (120 citations), Immunology (161 citations), Rheumatology (97 citations), Pathology and Forensic Medicine (77 citations) and Complementary and alternative medicine (35 citations). Ning An has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chen Yang, Qingjun Pan, Jialu Liu, H. Wu, Xiaocui Chen, Zhihang Li, Jing Xue, Zhihong Wu, Huafeng Liu and Yanwen Chen. Their work appears in journals such as AIDS Research and Human Retroviruses, Frontiers in Immunology, Biomedicine & Pharmacotherapy, Acta Pharmacologica Sinica and Frontiers in Physiology.

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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