Cailing Lu

1.8k citations
70 papers · 1.5k · h-index 21

Impact in

Papers in

Cailing Lu

68 papers receiving 1.4k citations

Peers

Cailing Lu
Comparison fields: 5 of 117
  • Aging 34
  • Health, Toxicology and Mutagenesis 241
  • Geriatrics and Gerontology 38
  • Nutrition and Dietetics 172
  • Cancer Research 143
Replace Miguel Ángel Rubio with:
Miguel Ángel Rubio United States
Ying‐Hao Han China
Jeong-In Lee United States
Zhibin Wang United States
Ivan Nalvarte Sweden
Fabio Ciccarone Italy
Peter Sýkora United States
Hui Ye China
Kavita Singh India
James B. Kirkland Canada
Cailing Lu relative to Miguel Ángel Rubio United States Miguel Ángel Rubio's profile →
Citations per field
00.5×2×4×6×7.6×
Miguel Ángel Rubio · 1×
Citations per year

Countries citing papers authored by Cailing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Cailing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008120
2 2006107
3 200891
4 201086
5 202161
6 201456
7 201849
8 202147
9 201238
10 200937
11 201136
12 201733
13 200431
14 201529
15 200829
16 201728
17 201225
18 200725
19 202225
20
Mutation screening of crystallin genes in Chinese families with congenital cataracts.
201922

About Cailing Lu

Cailing Lu is a scholar working on Developmental and Educational Psychology, Molecular Biology, Language and Linguistics, Cancer Research and Health, Toxicology and Mutagenesis, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (10 papers), Congenital heart defects research (8 papers), Epigenetics and DNA Methylation (7 papers), Selenium in Biological Systems (5 papers), RNA modifications and cancer (5 papers), Natural Language Processing Techniques (5 papers), Heavy Metal Exposure and Toxicity (5 papers) and Connexins and lens biology (5 papers). The work is most often cited by research in Aging (34 citations), Health, Toxicology and Mutagenesis (241 citations), Geriatrics and Gerontology (38 citations), Nutrition and Dietetics (172 citations) and Cancer Research (143 citations). Cailing Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xu Ma, Thi Ngoc Yen Dang, Stuart Webb, Xiaobo Gao, Nan Yao, Xu Ma, Daguang Sun, Xiaohua Yuan, Shen Tang and Xiyi Li. Their work appears in journals such as Toxicology Letters, Studies in Second Language Learning and Teaching, Journal of Cellular Physiology, Life Sciences and Food and Chemical Toxicology.

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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