Lina Mu

5.4k citations
111 papers · 3.0k indexed · h-index 32

Impact in

Papers in

Lina Mu

107 papers receiving 2.9k citations

Peers

Lina Mu
Comparison fields: 5 of 159
  • Health, Toxicology and Mutagenesis 870
  • Cancer Research 559
  • Pollution 233
  • Speech and Hearing 130
  • Pathology and Forensic Medicine 274
Replace Mingjuan Jin with:
Mingjuan Jin China
Marie‐Élise Parent Canada
Gemma Castaño‐Vinyals Spain
C. W. Heath United States
Naiqing Zhao China
Bryan A. Bassig United States
W. Ryan Diver United States
Xueli Yang China
Yen‐Ching Chen Taiwan
Lina Mu relative to Mingjuan Jin China Mingjuan Jin's profile →
Citations per field
00.5×1.5×
Mingjuan Jin · 1×
Citations per year

Countries citing papers authored by Lina Mu

Since Specialization
Citations

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

Fields of papers citing papers by Lina Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202313
4 20234
5 202310
6 202312
7 20223
8 20224
9 202151
10 20216
11 202126
12 20199
13 201914
14 2018103
15 201642
16 201450
17 20121
18 200963
19
Green tea and its potential interaction with alcohol drinking, tobacco smoking and gene polymorphism on the risk of three upper-GI cancers in a Chinese population
20062
20
Relationship between ambient air pollution and daily mortality of SARS in Beijing.
200543

About Lina Mu

Lina Mu is a scholar working on Health, Toxicology and Mutagenesis, Chemical Health and Safety, Pollution, Cancer Research and Pathology and Forensic Medicine, having authored 111 papers that have together received 3.0k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (33 papers), Climate Change and Health Impacts (13 papers), Energy and Environment Impacts (12 papers), Esophageal Cancer Research and Treatment (7 papers), Cancer, Lipids, and Metabolism (6 papers), Nutritional Studies and Diet (6 papers), Birth, Development, and Health (6 papers) and Global Cancer Incidence and Screening (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (870 citations), Cancer Research (559 citations), Pollution (233 citations), Speech and Hearing (130 citations) and Pathology and Forensic Medicine (274 citations). Lina Mu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Zuo‐Feng Zhang, Herbert Yu, Lingeng Lu, Shun‐Zhang Yu, Dionyssios Katsaros, William Scheider, Riccardo Arisio, Qing‐Yi Lu, Jinkou Zhao and Shen‐Chih Chang. Their work appears in journals such as Environmental Research, Breast Cancer Research and Treatment, International Journal of Cancer, Cancer Epidemiology Biomarkers & Prevention and Cancer Research.

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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