Ning Wan

2.3k citations
66 papers · 1.8k · 1 hit paper · h-index 24

Impact in

Papers in

Ning Wan

63 papers receiving 1.8k citations

Ning Wan's Hit Papers

Cyclic immonium ion of lactyllysine reveals widespread lactylation in the human proteome 2022 · 200 citations
2000+1+2Years since publication50100150200

Peers

Ning Wan
Comparison fields: 5 of 132
  • Automotive Engineering 236
  • Electronic, Optical and Magnetic Materials 259
  • Electrical and Electronic Engineering 697
  • Cancer Research 157
  • Pharmaceutical Science 37
Replace Min‐Young Lee with:
Min‐Young Lee South Korea
Yi Guo China
Xingbo Wang China
Jinhua Zhou China
Yadan Zheng China
Xi Hu China
Youbin Li China
Huipeng Li China
Jiaojiao Yu China
Ning Wan relative to Min‐Young Lee South Korea Min‐Young Lee's profile →
Citations per field
00.5×2×2.6×
Min‐Young Lee · 1×
Citations per year

Countries citing papers authored by Ning Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cyclic immonium ion of lactyllysine reveals widespread lactylation in the human proteome
Hit paper breakdown →
2022200
2 2011122
3 2015100
4 201698
5 201491
6 201691
7 202281
8 201578
9 201577
10 202062
11 201556
12 201749
13 201949
14 201544
15 202042
16 201641
17 202340
18 202237
19 201435
20 201534

About Ning Wan

Ning Wan is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Spectroscopy and Automotive Engineering, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Battery Materials (14 papers), Advanced Battery Materials and Technologies (9 papers), RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Advanced Battery Technologies Research (5 papers), Supercapacitor Materials and Fabrication (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Transition Metal Oxide Nanomaterials (4 papers). The work is most often cited by research in Automotive Engineering (236 citations), Electronic, Optical and Magnetic Materials (259 citations), Electrical and Electronic Engineering (697 citations), Cancer Research (157 citations) and Pharmaceutical Science (37 citations). Ning Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying Bai, Shuwei Sun, Qing Wu, Pan Du, Xia Lu, Xiaoping Zhang, Hui Ye, Bang‐Le Zhang, Siyuan Zhou and Weifeng Zhang. Their work appears in journals such as Electrochimica Acta, Solid State Ionics, Frontiers in Pharmacology, Acta Pharmaceutica Sinica B and Journal of the American Society for Mass Spectrometry.

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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