Min Lu

729 citations
27 papers · 306 · h-index 9

Impact in

Papers in

Min Lu

21 papers receiving 305 citations

Peers

Min Lu
Comparison fields: 5 of 74
  • Anesthesiology and Pain Medicine 18
  • Applied Microbiology and Biotechnology 6
  • General Dentistry 4
  • Obstetrics and Gynecology 16
  • Cancer Research 32
Replace M Chandrasekhar with:
M Chandrasekhar India
F. Bissonnette Canada
Megan Conti Mica United States
Kathleen Kennedy United States
Francisco Javier Redondo Calvo Spain
Anusch Yazdani Australia
Miguel Ángel Sala Brazil
Eugene Martin United States
Manoj Kalita India
Saeid Aslanabadi Iran
Min Lu relative to M Chandrasekhar India M Chandrasekhar's profile →
Citations per field
00.5×10×14×
M Chandrasekhar · 1×
Citations per year

Countries citing papers authored by Min Lu

Since Specialization
Citations

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

Fields of papers citing papers by Min Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min 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 Min Lu Line = papers co-authored together Min 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 201645
2 201945
3 202041
4 202033
5 202032
6 202230
7 201815
8 201813
9 201911
10 20198
11 20206
12 20196
13 20225
14 20205
15 20243
16 20252
17 20212
18 20251
19
[Correlation of the stress reaction and temperament in children with bronchial asthma].
20111
20 20151

About Min Lu

Min Lu is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Physiology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 306 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Pneumonia and Respiratory Infections (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Cervical Cancer and HPV Research (2 papers), Evolution and Genetic Dynamics (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (18 citations), Applied Microbiology and Biotechnology (6 citations), General Dentistry (4 citations), Obstetrics and Gynecology (16 citations) and Cancer Research (32 citations). Min Lu has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Guodong Ding, Angela Vinturache, Chen Cai, Ying Tian, Nanbert Zhong, Xiaoyan Dong, Quan Lu, Yu Gao, Peipei Hu and Jianlei Gu. Their work appears in journals such as Frontiers in Pediatrics, Environmental Pollution, Medicine, BMC Pulmonary Medicine and PLoS ONE.

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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