Mingfeng Li

17.4k citations
118 papers · 3.7k · 1 hit paper · h-index 30

Impact in

Papers in

    • RNA Research and Splicing 7
    • Single-cell and spatial transcriptomics 6
    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 6

Mingfeng Li

110 papers receiving 3.7k citations

Mingfeng Li's Hit Papers

The Cellular and Molecular Landscapes of the Developing Human Central Nervous System 2016 · 515 citations
5150+3+6Years since publication100200300400500

Peers

Mingfeng Li
Comparison fields: 5 of 156
  • Developmental Neuroscience 392
  • Cancer Research 386
  • Molecular Biology 1.8k
  • Neurology 165
  • Cellular and Molecular Neuroscience 362
Replace Ying Zhou with:
Ying Zhou China
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Yijing Su United States
Hao Huang China
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Kazuhito Tomizawa Japan
Mingfeng Li relative to Ying Zhou China Ying Zhou's profile →
Citations per field
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Ying Zhou · 1×
Citations per year

Countries citing papers authored by Mingfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Cellular and Molecular Landscapes of the Developing Human Central Nervous System
Hit paper breakdown →
2016515
2 2018244
3 2013198
4 2018157
5 2014156
6 2011152
7 2012144
8 2017111
9 2015107
10 2019102
11 201489
12 202086
13 201381
14 202169
15 201863
16 201859
17 202257
18 201456
19 201852
20 201451

About Mingfeng Li

Mingfeng Li is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Oncology and Genetics, having authored 118 papers that have together received 3.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), RNA Research and Splicing (7 papers), Single-cell and spatial transcriptomics (6 papers), Immunotherapy and Immune Responses (6 papers), Bacterial Genetics and Biotechnology (6 papers), Asymmetric Synthesis and Catalysis (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (392 citations), Cancer Research (386 citations), Molecular Biology (1.8k citations), Neurology (165 citations) and Cellular and Molecular Neuroscience (362 citations). Mingfeng Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Nenad Šestan, Sirisha Pochareddy, Ying Zhu, John Silbereis, Ying Zhu, Kenneth Y. Kwan, Sungbo Shim, Yuka Imamura Kawasawa, Xinwei Liu and Zhuqing Zhao. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications, PLoS ONE, Science and Neuron.

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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