Naidi Yang

2.7k citations
45 papers · 2.2k · 2 hit papers · h-index 20

Impact in

Papers in

Naidi Yang

42 papers receiving 2.2k citations

Naidi Yang's Hit Papers

Mito‐Bomb: Targeting Mitochondria for Cancer Therapy 2021 · 372 citations
3720+2+4Years since publication100200300

Peers

Naidi Yang
Comparison fields: 5 of 119
  • Physiology 170
  • Geriatrics and Gerontology 55
  • Epidemiology 519
  • Molecular Biology 863
  • Infectious Diseases 209
Replace Howard R. Mellor with:
Howard R. Mellor United Kingdom
V. Raja Solomon India
Yanan Liu China
Anthony B. Pinkerton United States
Young‐Kyo Seo South Korea
Jae Won Chang United States
Bin Yu China
Giovanni Sorba Italy
Ao Zhang China
Giovanni Miotto Italy
Naidi Yang relative to Howard R. Mellor United Kingdom Howard R. Mellor's profile →
Citations per field
00.5×4.5×
Howard R. Mellor · 1×
Citations per year

Countries citing papers authored by Naidi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Naidi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mito‐Bomb: Targeting Mitochondria for Cancer Therapy
Hit paper breakdown →
2021372
2 2013341
3
Targeting the Endocytic Pathway and Autophagy Process as a Novel Therapeutic Strategy in COVID-19
Hit paper breakdown →
2020328
4 2015164
5 2014151
6 201997
7 201287
8 202082
9 201953
10 201951
11 202049
12 202240
13 197131
14 202230
15 202028
16 202026
17 202225
18 202025
19 202124
20 202124

About Naidi Yang

Naidi Yang is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Materials Chemistry and Cell Biology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Advanced biosensing and bioanalysis techniques (11 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced Nanomaterials in Catalysis (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Molecular Sensors and Ion Detection (4 papers), Cellular transport and secretion (4 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Physiology (170 citations), Geriatrics and Gerontology (55 citations), Epidemiology (519 citations), Molecular Biology (863 citations) and Infectious Diseases (209 citations). Naidi Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Han‐Ming Shen, Jing Zhou, Lin Li, Shi-Hao Tan, Jianbin Zhang, Wei Huang, Hang Zhang, Shao Q. Yao, Wenhui Ji and Xiaolu Guo. Their work appears in journals such as Dyes and Pigments, Chinese Chemical Letters, Advanced Materials, Sensors and Actuators B Chemical and Analytica Chimica Acta.

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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