Lan Lan

20 papers receiving 385 citations

Peers

Lan Lan
Comparison fields: 5 of 60
  • Reproductive Medicine 73
  • Health, Toxicology and Mutagenesis 48
  • Surgery 139
  • Nephrology 18
  • Health Informatics 4
Replace Audrey Legendre with:
Audrey Legendre France
Bao Zhang China
Hisayo Kubota Japan
Hongli Xu China
Ola Mostafa Egypt
Toyohei Machida Japan
Giulia Bernardi Italy
Eeva-Liisa Romppanen Finland
Γεώργιος Μεταξάς France
Sujuan Yan China
Lan Lan relative to Audrey Legendre France Audrey Legendre's profile →
Citations per field
00.5×2×4×6×
Audrey Legendre · 1×
Citations per year

Countries citing papers authored by Lan Lan

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015102
2 200666
3 202146
4 201930
5 202026
6 202026
7 201518
8 202317
9 201216
10 202015
11 202312
12 20257
13 20185
14 20255
15 20193
16 20243
17 20253
18 20201
19 20221
20 20241

About Lan Lan

Lan Lan is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, Inorganic Chemistry, Rehabilitation and Complementary and alternative medicine, having authored 22 papers that have together received 403 indexed citations. Recurring topics across this work include Eosinophilic Esophagitis (7 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Machine Learning in Healthcare (2 papers), Prenatal Screening and Diagnostics (2 papers), Diabetic Foot Ulcer Assessment and Management (1 paper), Nausea and vomiting management (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Peripheral Artery Disease Management (1 paper). The work is most often cited by research in Reproductive Medicine (73 citations), Health, Toxicology and Mutagenesis (48 citations), Surgery (139 citations), Nephrology (18 citations) and Health Informatics (4 citations). Lan Lan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Evan S. Dellon, Margaret H. Collins, David A. Katzka, JAMES E. JUN. WILLIAMS, Ikuo Hirano, Meixia Zhang, Chuanwei Yang, Fei Chen, Yan Cui and Emmett V. Schmidt. Their work appears in journals such as Clinical Gastroenterology and Hepatology, Separation and Purification Technology, BMC Cancer, Frontiers in Bioengineering and Biotechnology and Journal of Biomedical Informatics.

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.

Explore authors with similar magnitude of impact