Nanping Ai

480 citations
12 papers · 334 · h-index 8

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways

Papers in

Nanping Ai

12 papers receiving 331 citations

Peers

Nanping Ai
Comparison fields: 5 of 47
  • Virology 70
  • Molecular Biology 231
  • Immunology 58
  • Cancer Research 34
  • Infectious Diseases 41
Replace Timothy L. Lochmann with:
Timothy L. Lochmann United States
Michael Malasky United States
Alexey Boiko Russia
Sean Paz United States
Tara M. Young United States
T Liu China
Chung-Chieh Chiao Taiwan
Albertina Pereira United States
David Cooper United States
Евгений Иванович Гусев Russia
Nanping Ai relative to Timothy L. Lochmann United States Timothy L. Lochmann's profile →
Citations per field
00.5×3.4×
Timothy L. Lochmann · 1×
Citations per year

Countries citing papers authored by Nanping Ai

Since Specialization
Citations

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

Fields of papers citing papers by Nanping Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008141
2 201144
3 201439
4 201436
5 202120
6 201915
7 201711
8 201510
9 20206
10 20176
11 20203
12 20193

About Nanping Ai

Nanping Ai is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Neurology, Rheumatology and Neurology, having authored 12 papers that have together received 334 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Peripheral Neuropathies and Disorders (4 papers), Protein Degradation and Inhibitors (3 papers), Systemic Lupus Erythematosus Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Virology (70 citations), Molecular Biology (231 citations), Immunology (58 citations), Cancer Research (34 citations) and Infectious Diseases (41 citations). Nanping Ai has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Ruichuan Chen, Nanhai He, Yuhua Xue, Min Liu, Nan Zhou, Wanichaya N. Ramey, Qiang Zhou, Ying Zhu, Huan Li and Runzhong Liu. Their work appears in journals such as Genes & Development, Neoplasia, British Journal of Ophthalmology, Acta Ophthalmologica and Journal of Biological Chemistry.

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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