Min Li

446 papers receiving 8.1k citations

Min Li's Hit Papers

Identification and validation of an explainable prediction model of acute kidney injury with prognostic implications in critically ill children: a prospective multicenter cohort study 2024 · 103 citations
1030+10+21Years since publication250500750

Peers

Min Li
Comparison fields: 5 of 197
  • Nephrology 598
  • Immunology 1.1k
  • Biomaterials 684
  • Virology 206
  • Molecular Biology 2.6k
Replace Fuming Zhang with:
Fuming Zhang United States
Yon Rojanasakul United States
Xiaokun Li China
Xiaolei Wang China
Haiyan Chen China
Abraham Nyska Israel
Meng Zhang China
Jing Liu China
Ke Li China
Paul Harrison United Kingdom
Min Li relative to Fuming Zhang United States Fuming Zhang's profile →
Citations per field
00.5×1.5×2.4×
Fuming Zhang · 1×
Citations per year

Countries citing papers authored by Min Li

Since Specialization
Citations

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

Fields of papers citing papers by Min Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 479 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FcR γ chain deletion results in pleiotrophic effector cell defects
Hit paper breakdown →
1994828
2 2012221
3 2006200
4
The effects of iodine on intelligence in children: a meta-analysis of studies conducted in China.
2005192
5 2002191
6 2013182
7 2010126
8 2007125
9 2009120
10 2005117
11 2016117
12
Identification and validation of an explainable prediction model of acute kidney injury with prognostic implications in critically ill children: a prospective multicenter cohort study
Hit paper breakdown →
2024103
13 2020101
14 201098
15 201897
16 200790
17 201289
18 201185
19 200880
20 200877

About Min Li

Min Li is a scholar working on Molecular Biology, Nephrology, Organic Chemistry, Oncology and Inorganic Chemistry, having authored 479 papers that have together received 8.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (27 papers), Metal-Organic Frameworks: Synthesis and Applications (17 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Nanoparticle-Based Drug Delivery (11 papers), Cancer-related molecular mechanisms research (9 papers), Dendrimers and Hyperbranched Polymers (9 papers), Pregnancy and preeclampsia studies (9 papers) and Advanced Polymer Synthesis and Characterization (8 papers). The work is most often cited by research in Nephrology (598 citations), Immunology (1.1k citations), Biomaterials (684 citations), Virology (206 citations) and Molecular Biology (2.6k citations). Min Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Toshiyuki Takai, Diana L. Sylvestre, Raphael Clynes, Maria Pia Rastaldi, Terrence R. Burke, Piergiorgio Messa, Michiyo Mizuuchi, Robert Craigie, Silvia Armelloni and Francesco Cellesi. Their work appears in journals such as Tetrahedron Letters, Renal Failure, PLoS ONE, Scientific Reports and International Journal of Biological Macromolecules.

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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