Hsiu-Ling Li

468 citations
13 papers · 569 · h-index 10

Impact in

Papers in

Hsiu-Ling Li

13 papers receiving 558 citations

Peers

Hsiu-Ling Li
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 220
  • Immunology 107
  • Cognitive Neuroscience 86
  • Developmental Neuroscience 7
  • Cell Biology 24
Replace Caroline Bornmann with:
Caroline Bornmann Switzerland
Nathalie McDonell France
C. L. Lancashire United Kingdom
Gokhul Kilaru United States
Fiona M. Smart United States
Yeun Jun Chung South Korea
Lauren M. Tanabe United States
C M Ambrose United States
Ilana Zucker-Scharff United States
Orly Perl Israel
Hsiu-Ling Li relative to Caroline Bornmann Switzerland Caroline Bornmann's profile →
Citations per field
00.5×1.5×
Caroline Bornmann · 1×
Citations per year

Countries citing papers authored by Hsiu-Ling Li

Since Specialization
Citations

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

Fields of papers citing papers by Hsiu-Ling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200398
2 200589
3 201176
4 199973
5 200972
6 199953
7 199734
8 199927
9 201613
10 201913
11 20119
12 20238
13 20114

About Hsiu-Ling Li

Hsiu-Ling Li is a scholar working on Cellular and Molecular Neuroscience, Immunology, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Cancer Research, having authored 13 papers that have together received 569 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), T-cell and B-cell Immunology (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Neonatal and fetal brain pathology (2 papers), Neonatal Respiratory Health Research (1 paper), Spinal Cord Injury Research (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Immunology (107 citations), Cognitive Neuroscience (86 citations), Developmental Neuroscience (7 citations) and Cell Biology (24 citations). Hsiu-Ling Li has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Craig H. Bailey, Eric R. Kandel, Ellen Puré, Joung‐Hun Kim, Iksung Jin, RD Hawkins, Mary Chen, Morris J. Birnbaum, Eileen L. Whiteman and Hiroshi Udo. Their work appears in journals such as Neuron, Journal of Biological Chemistry, Frontiers in Neuroscience, Journal of Neuroscience and Journal of Neurophysiology.

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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