Ne N. Wu

1.2k total citations · 1 hit paper
16 papers, 899 citations indexed

About

Ne N. Wu is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Ne N. Wu has authored 16 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Ne N. Wu's work include Autophagy in Disease and Therapy (8 papers), Mitochondrial Function and Pathology (6 papers) and Adipose Tissue and Metabolism (4 papers). Ne N. Wu is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Mitochondrial Function and Pathology (6 papers) and Adipose Tissue and Metabolism (4 papers). Ne N. Wu collaborates with scholars based in China, United States and Canada. Ne N. Wu's co-authors include Jun Ren, Yingmei Zhang, Yingmei Zhang, James R. Sowers, Shuyi Wang, Yaguang Bi, Dan Wang, Peijie Chen, Amir Ajoolabady and Haili Tian and has published in prestigious journals such as Physiological Reviews, British Journal of Pharmacology and Life Sciences.

In The Last Decade

Ne N. Wu

16 papers receiving 896 citations

Hit Papers

Obesity cardiomyopathy: evidence, mechanisms, and therape... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Ne N. Wu
Comparison fields: 5 of 88
  • Molecular Biology 461
  • Cardiology and Cardiovascular Medicine 226
  • Epidemiology 224
  • Physiology 177
  • Immunology 94
Shigang Qiao China
Mahmoud Abdellatif Austria
Hiroaki Sunaga Japan
Zhaohui Pei China
Luiz Roberto Grassmann Bechara Brazil
Dov B. Ballak Netherlands
Hideaki Nakatsuji Japan
Guangming Yang China
Guangda Xiang China
Weijing Liu China
Shigang Qiao China View profile →
Citations per field, relative to Ne N. Wu
Ne N. Wu · 1×
Citations per year, relative to Ne N. Wu
Ne N. Wu · 1×

Countries citing papers authored by Ne N. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ne N. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ne N. Wu. 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 Ne N. Wu. The network helps show where Ne N. Wu may publish in the future.

Co-authorship network of co-authors of Ne N. Wu

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2 45
3 37
4 23
5 21
6 11
7 45
8 25
9 46
10 63
11
Obesity cardiomyopathy: evidence, mechanisms, and therapeutic implications breakdown →
237
12 55
13 22
14 13
15 167
16 87

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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