Li Lu

1.3k citations
17 papers · 966 · 1 hit paper · h-index 12

Impact in

Papers in

Li Lu

17 papers receiving 944 citations

Li Lu's Hit Papers

Prevalence of gestational diabetes mellitus in mainland China: A systematic review and meta‐analysis 2018 · 516 citations
5160+2+5Years since publication100200300400500

Peers

Li Lu
Comparison fields: 5 of 87
  • Obstetrics and Gynecology 316
  • Endocrinology, Diabetes and Metabolism 146
  • Gastroenterology 38
  • General Dentistry 10
  • Orthodontics 17
Replace Görkem Mungan with:
Görkem Mungan Türkiye
Francesco Cucinelli Italy
Odette Lescelleur Canada
Alejandro Martínez‐Aguayo Chile
Nicoletta De Rosa Italy
Cristina Sobrino Grande Spain
Sara Elizabeth Pinney United States
Amedea Silvia Tirelli Italy
L. A. Perry United Kingdom
Li Lu relative to Görkem Mungan Türkiye Görkem Mungan's profile →
Citations per field
00.5×2×4×6×7.5×
Görkem Mungan · 1×
Citations per year

Countries citing papers authored by Li Lu

Since Specialization
Citations

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

Fields of papers citing papers by Li Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Prevalence of gestational diabetes mellitus in mainland China: A systematic review and meta‐analysis
Hit paper breakdown →
2018516
2 2010132
3 200449
4 201648
5 201543
6 201225
7 201323
8 201421
9 201718
10 201918
11 200916
12 201716
13 201312
14 201912
15 201311
16 20155
17
Preventive function of remifentanil to propofol injection pain.
20091

About Li Lu

Li Lu is a scholar working on Physiology, Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 966 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Neuropeptides and Animal Physiology (2 papers), Gestational Diabetes Research and Management (1 paper), NF-κB Signaling Pathways (1 paper), Cancer, Stress, Anesthesia, and Immune Response (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Reconstructive Surgery and Microvascular Techniques (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Obstetrics and Gynecology (316 citations), Endocrinology, Diabetes and Metabolism (146 citations), Gastroenterology (38 citations), General Dentistry (10 citations) and Orthodontics (17 citations). Li Lu has collaborated with scholars based in China and United States. Frequent co-authors include Xin Sun, Jing Yuan, Fangwei Liu, Chenghan Gao, Xiaofeng Bai, Xia Zhang, Yao Jun Sun, Yang Wang, Félix José Alvarez Ramires and John Q. Zhang. Their work appears in journals such as PLoS ONE, International Dental Journal, Journal of Diabetes Investigation, Journal of Esthetic and Restorative Dentistry and American Journal of Orthodontics and Dentofacial Orthopedics.

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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