Lan Li

2.4k citations
52 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Lan Li

48 papers receiving 1.3k citations

Lan Li's Hit Papers

A nomogram for predicting overall survival in patients with low‐grade endometrial stromal sarcoma: A population‐based analysis 2020 · 301 citations
3010+2+4Years since publication100200300

Peers

Lan Li
Comparison fields: 5 of 97
  • Public Health, Environmental and Occupational Health 292
  • Cancer Research 150
  • Reproductive Medicine 77
  • Pulmonary and Respiratory Medicine 205
  • Aging 11
Replace Xian Chen with:
Xian Chen China
Zailong Cai China
Fangping Chen China
Frank Becker Germany
Fenghua Liu China
Mary M. DeSouza United States
Deena Khan United States
Adam Clauss Sweden
Lan Li relative to Xian Chen China Xian Chen's profile →
Citations per field
00.5×5.9×
Xian Chen · 1×
Citations per year

Countries citing papers authored by Lan Li

Since Specialization
Citations

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

Fields of papers citing papers by Lan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A nomogram for predicting overall survival in patients with low‐grade endometrial stromal sarcoma: A population‐based analysis
Hit paper breakdown →
2020301
2 2021180
3 202099
4 202170
5 202366
6 201748
7 201046
8 202041
9 201833
10 201232
11 200731
12 201528
13 200625
14 202024
15 202021
16 201216
17 202115
18 202214
19 200614
20 201914

About Lan Li

Lan Li is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (15 papers), Ocular Surface and Contact Lens (10 papers), Cancer Immunotherapy and Biomarkers (4 papers), COVID-19 epidemiological studies (3 papers), RNA Research and Splicing (3 papers), Ferroptosis and cancer prognosis (3 papers), Corneal Surgery and Treatments (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (292 citations), Cancer Research (150 citations), Reproductive Medicine (77 citations), Pulmonary and Respiratory Medicine (205 citations) and Aging (11 citations). Lan Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Bin Xu, Jie Wu, Huibo Zhang, Mengxue Hu, Liang Chen, Qibin Song, Wei Shen, Haohan Zhang, Yaqi Zhao and Massimo De Felici. Their work appears in journals such as Reproduction Fertility and Development, PLoS ONE, Investigative Ophthalmology & Visual Science, Histochemistry and Cell Biology and General Hospital Psychiatry.

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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