Su Li

1.1k citations
35 papers · 834 · h-index 15

Impact in

Papers in

Su Li

33 papers receiving 817 citations

Peers

Su Li
Comparison fields: 5 of 95
  • Sensory Systems 221
  • Developmental and Educational Psychology 237
  • Cognitive Neuroscience 253
  • Statistics and Probability 83
  • Cellular and Molecular Neuroscience 119
Replace M-Marsel Mesulam with:
M-Marsel Mesulam United States
Ana Garcı́a-Gutiérrez Spain
Peter Cahusac United Kingdom
Zhenghan Qi United States
S. Krljes United Kingdom
Margaret O’Connor United States
Stephen B. Fountain United States
Katherine Field United States
Aina Rodríguez‐Pujadas Spain
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Citations per field
00.5×2.9×
M-Marsel Mesulam · 1×
Citations per year

Countries citing papers authored by Su Li

Since Specialization
Citations

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

Fields of papers citing papers by Su Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011141
2 200379
3 200477
4 201254
5 200052
6 201351
7 200950
8 201150
9 201448
10 200531
11 200430
12 200926
13 201421
14 200919
15 201518
16 202114
17 201412
18 201711
19 20059
20 20177

About Su Li

Su Li is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Sensory Systems, Education and Statistics and Probability, having authored 35 papers that have together received 834 indexed citations. Recurring topics across this work include Reading and Literacy Development (10 papers), Ion Channels and Receptors (6 papers), Cognitive and developmental aspects of mathematical skills (5 papers), Ion channel regulation and function (3 papers), Neural dynamics and brain function (3 papers), Neurobiology of Language and Bilingualism (3 papers), Child Development and Digital Technology (3 papers) and Child and Animal Learning Development (3 papers). The work is most often cited by research in Sensory Systems (221 citations), Developmental and Educational Psychology (237 citations), Cognitive Neuroscience (253 citations), Statistics and Probability (83 citations) and Cellular and Molecular Neuroscience (119 citations). Su Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chris Poll, Xuchu Weng, John Westwick, Martin Gosling, Jing Zhao, Jing Zhao, Sheng He, June Giddings, Ian P. Hall and Randolph Corteling. Their work appears in journals such as Reading and Writing, American Journal of Respiratory Cell and Molecular Biology, The FASEB Journal, Neuropsychologia and PLoS ONE.

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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