Yong Lu

1.3k citations
27 papers · 535 · h-index 10

Impact in

Papers in

Yong Lu

26 papers receiving 527 citations

Peers

Yong Lu
Comparison fields: 5 of 102
  • Molecular Biology 301
  • Pathology and Forensic Medicine 77
  • Public Health, Environmental and Occupational Health 110
  • Aging 6
  • Genetics 91
Replace Angélica Coyoy-Salgado with:
Angélica Coyoy-Salgado Mexico
Paula H. A. Ronkainen Finland
Youna Hu United States
Markus Schäfer Germany
Iris P.L. Wong Australia
Robert A. Richman United States
Chunlu Li China
Wenji Yuan China
Philip Smith United States
Binbin Yang China
Yong Lu relative to Angélica Coyoy-Salgado Mexico Angélica Coyoy-Salgado's profile →
Citations per field
00.5×4.4×
Angélica Coyoy-Salgado · 1×
Citations per year

Countries citing papers authored by Yong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018211
2 200558
3 201251
4 202050
5 201948
6 201620
7 200312
8 201011
9 202211
10 20239
11 20209
12 20147
13 20186
14 20186
15
Retrospective study of cytomegalovirus retinitis complicated with acquired immunodeficiency syndrome.
20156
16 20155
17 20233
18 20242
19 20182
20 20202

About Yong Lu

Yong Lu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 27 papers that have together received 535 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (4 papers), Vitamin D Research Studies (3 papers), Diet and metabolism studies (3 papers), Vitamin C and Antioxidants Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Molecular Biology (301 citations), Pathology and Forensic Medicine (77 citations), Public Health, Environmental and Occupational Health (110 citations), Aging (6 citations) and Genetics (91 citations). Yong Lu has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Qiang Sun, Yanhong Nie, Xiaotong Zhang, Yijun Cai, Zhen Liu, Mu‐ming Poo, Zhanyang Wang, Yuting Xu, Yan Wang and Chenchen Zhang. Their work appears in journals such as National Science Review, Molecular Therapy, Stem Cells, Ecological Indicators and Cell Reports.

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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