Ming Li

8.9k citations
278 papers · 5.7k · h-index 39

Impact in

Papers in

    • Genetic Associations and Epidemiology 74
    • Genetics and Neurodevelopmental Disorders 35
    • Genetic Syndromes and Imprinting 15
    • Genomics and Rare Diseases 14
    • Epigenetics and DNA Methylation 20
    • RNA Research and Splicing 16

Ming Li

261 papers receiving 5.6k citations

Peers

Ming Li
Comparison fields: 5 of 200
  • Biological Psychiatry 307
  • Psychiatry and Mental health 822
  • Genetics 1.5k
  • Cellular and Molecular Neuroscience 833
  • Behavioral Neuroscience 129
Replace Anders D. Børglum with:
Anders D. Børglum Denmark
Chunyu Liu China
Yifeng Xu China
Artūras Petronis Canada
Sarah E. Harris United Kingdom
Masashi Ikeda Japan
Dai Zhang China
Allison E. Ashley‐Koch United States
Christian Andrés France
Julie Williams United Kingdom
Ming Li relative to Anders D. Børglum Denmark Anders D. Børglum's profile →
Citations per field
00.5×1.5×1.9×
Anders D. Børglum · 1×
Citations per year

Countries citing papers authored by Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 278 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005371
2 2011229
3 2002191
4 2013121
5 2016118
6 2009116
7 2009113
8 2016108
9 200685
10 200384
11 201384
12 200074
13 201873
14 201769
15 200165
16 199764
17 202061
18 201660
19 201959
20 201158

About Ming Li

Ming Li is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cognitive Neuroscience, having authored 278 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (74 papers), Genetics and Neurodevelopmental Disorders (35 papers), Epigenetics and DNA Methylation (20 papers), Bipolar Disorder and Treatment (17 papers), RNA Research and Splicing (16 papers), Neuroscience and Neuropharmacology Research (16 papers), Genetic Syndromes and Imprinting (15 papers) and Genomics and Rare Diseases (14 papers). The work is most often cited by research in Biological Psychiatry (307 citations), Psychiatry and Mental health (822 citations), Genetics (1.5k citations), Cellular and Molecular Neuroscience (833 citations) and Behavioral Neuroscience (129 citations). Ming Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shitij Kapur, Romina Mizrahi, Xiao Xiao, Xiong‐Jian Luo, Hong Chang, Bing Su, Jiewei Liu, Angel L. De Blas, Eileen M. Shore and Frederick S. Kaplan. Their work appears in journals such as Molecular Psychiatry, Schizophrenia Research, Translational Psychiatry, Schizophrenia Bulletin and Neuropsychopharmacology.

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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