Long Li

47 papers receiving 1.8k citations

Long Li's Hit Papers

A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex 2018 · 423 citations
4230+2+5Years since publication100200300400

Peers

Long Li
Comparison fields: 5 of 141
  • Developmental Neuroscience 126
  • Biological Psychiatry 75
  • Behavioral Neuroscience 108
  • Neurology 145
  • Molecular Biology 854
Replace Robert Lea with:
Robert Lea United Kingdom
Praful S. Singru India
Roel C. van der Schors Netherlands
Tetsuya Kimura Japan
Manuel Megı́as Spain
Yojiro Yanagawa Japan
Igor Kraev United Kingdom
Dhananjay Bambah-Mukku United States
Kenneth W. Young United Kingdom
Chongyuan Luo United States
Long Li relative to Robert Lea United Kingdom Robert Lea's profile →
Citations per field
00.5×3.5×
Robert Lea · 1×
Citations per year

Countries citing papers authored by Long Li

Since Specialization
Citations

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

Fields of papers citing papers by Long Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
Hit paper breakdown →
2018423
2 2017255
3 2016137
4 2017120
5 2022108
6 201796
7 202287
8 201857
9 202248
10 202141
11 201337
12 202029
13 202225
14 202223
15 201921
16 202020
17 201719
18 202418
19 201518
20 202117

About Long Li

Long Li is a scholar working on Molecular Biology, Genetics, Behavioral Neuroscience, Plant Science and Social Psychology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (6 papers), Tryptophan and brain disorders (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Plant Molecular Biology Research (3 papers), Virus-based gene therapy research (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (126 citations), Biological Psychiatry (75 citations), Behavioral Neuroscience (108 citations), Neurology (145 citations) and Molecular Biology (854 citations). Long Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tom A. Rapoport, Eunyong Park, Xiaoqun Wang, Le Sun, Qian Wu, Fuchou Tang, Haofeng Zhang, Xiaohui Xu, Na Pan and Liying Yan. Their work appears in journals such as Nature, Biological Psychiatry, Nature Communications, Journal of Virology and Scientific Reports.

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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