Lan Li

2.6k citations
64 papers · 2.1k · h-index 19

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
  • Immunology top 5%
    • Complement system in diseases
    • Atherosclerosis and Cardiovascular Diseases

Papers in

Lan Li

61 papers receiving 2.0k citations

Peers

Lan Li
Comparison fields: 5 of 115
  • Nephrology 235
  • Immunology 495
  • Biochemistry 121
  • Epidemiology 503
  • Physiology 66
Replace Agnès Boullier with:
Agnès Boullier France
Erawan Borkham‐Kamphorst Germany
Florian Bea Germany
Sudha Ananth United States
Tuva Børresdatter Dahl Norway
Chaoyong He China
Xiao Xu United States
Naohiro Yano United States
Adam E. Mullick United States
Martin Kömhoff Germany
Lan Li relative to Agnès Boullier France Agnès Boullier's profile →
Citations per field
00.5×1.5×1.8×
Agnès Boullier · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014330
2 2004319
3 2010218
4 2018140
5 2019131
6 2007109
7 201795
8 200163
9 202052
10 202048
11 201945
12 201944
13 202236
14 200835
15 201935
16 201432
17 201725
18 202125
19 202120
20 201818

About Lan Li

Lan Li is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Epidemiology, Nephrology and Neurology, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tracheal and airway disorders (4 papers), Immune cells in cancer (3 papers), Reproductive System and Pregnancy (3 papers), Ferroptosis and cancer prognosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Preterm Birth and Chorioamnionitis (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Nephrology (235 citations), Immunology (495 citations), Biochemistry (121 citations), Epidemiology (503 citations) and Physiology (66 citations). Lan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lawrence Chan, Benny Hung‐Junn Chang, Weiqin Chen, Kerry W.S. Ko, Vijay K. Yechoor, Lawrence Chan, Antoni Paul, Mark A. McCrory, Alexander J. Szalai and Jingping Liu. Their work appears in journals such as Hepatology, International Immunopharmacology, The FASEB Journal, Life Sciences and Clinical Science.

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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