Maolin Du

28 papers receiving 385 citations

Peers

Maolin Du
Comparison fields: 5 of 96
  • Small Animals 23
  • General Health Professions 59
  • Endocrinology, Diabetes and Metabolism 32
  • Public Health, Environmental and Occupational Health 51
  • Infectious Diseases 33
Replace Krishnapillai Vijayakumar with:
Krishnapillai Vijayakumar India
Ahmad Kousha Iran
Leo Kawaguchi Japan
Jaume Canela‐Soler Spain
Carolina Mantilla Rojas Colombia
Nazan Savaş Türkiye
Mwenya Mubanga Sweden
Patrick Alexander Wachholz Brazil
Philip J. Peacock United Kingdom
Ediléa Monteiro de Oliveira Brazil
Maolin Du relative to Krishnapillai Vijayakumar India Krishnapillai Vijayakumar's profile →
Citations per field
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Krishnapillai Vijayakumar · 1×
Citations per year

Countries citing papers authored by Maolin Du

Since Specialization
Citations

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

Fields of papers citing papers by Maolin Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 201745
3 201730
4 202128
5 201228
6 201926
7 201824
8 201920
9 202019
10 201918
11 201717
12 202015
13 201815
14 20179
15 20187
16 20165
17 20145
18 20194
19
Transforming growth factor-β1 regulates epithelial-mesenchymal transition in association with cancer stem-like cells in a breast cancer cell line.
20144
20 20153

About Maolin Du

Maolin Du is a scholar working on Epidemiology, Oncology, Public Health, Environmental and Occupational Health, Surgery and Molecular Biology, having authored 29 papers that have together received 403 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (3 papers), Mobile Health and mHealth Applications (2 papers), Nutritional Studies and Diet (2 papers), Climate Change and Health Impacts (2 papers), Colorectal Cancer Screening and Detection (2 papers), Tuberculosis Research and Epidemiology (2 papers), Injury Epidemiology and Prevention (2 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Small Animals (23 citations), General Health Professions (59 citations), Endocrinology, Diabetes and Metabolism (32 citations), Public Health, Environmental and Occupational Health (51 citations) and Infectious Diseases (33 citations). Maolin Du has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xuemei Wang, Shaohua Yin, Peiyu Wang, Juan Sun, Wei Shu, Huiqiu Zheng, Mingming Xue, Jing Wu, Yufeng Jiang and Jian Du. Their work appears in journals such as International Journal of Environmental Research and Public Health, Cochrane Database of Systematic Reviews, Oncotarget, Industrial Health and BMC Public Health.

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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