Grace Liao

18 papers receiving 1.3k citations

Peers

Grace Liao
Comparison fields: 5 of 106
  • Obstetrics and Gynecology 222
  • Pediatrics, Perinatology and Child Health 233
  • Endocrine and Autonomic Systems 66
  • Molecular Biology 559
  • Cell Biology 116
Replace Salvatore Longobardi with:
Salvatore Longobardi Italy
Jennifer C. Condon United States
Jennifer Huynh Australia
Jorge Carvajal C Chile
T Yanaihara Japan
Jatin Patel Australia
Benjamin T. Jackson United States
Fumikazu Kotsuji Japan
Yue Zhao China
Graeme R. Frank United States
Grace Liao relative to Salvatore Longobardi Italy Salvatore Longobardi's profile →
Citations per field
00.5×1.6×
Salvatore Longobardi · 1×
Citations per year

Countries citing papers authored by Grace Liao

Since Specialization
Citations

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

Fields of papers citing papers by Grace Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20240
2 20219
3 20212
4 201751
5 201712
6 201627
7 201561
8 20157
9 201368
10 2010362
11 201026
12 201090
13 200921
14 2007104
15 2007138
16 200730
17 200664
18 200566
19 2004213

About Grace Liao

Grace Liao is a scholar working on Aging, Developmental Neuroscience, Physiology, Immunology and Emergency Medical Services, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Asthma and respiratory diseases (3 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Adipose Tissue and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Obstetrics and Gynecology (222 citations), Pediatrics, Perinatology and Child Health (233 citations), Endocrine and Autonomic Systems (66 citations), Molecular Biology (559 citations) and Cell Biology (116 citations). Grace Liao has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Anton M. Jetten, Zhen Han, Sohail Mulla, Joseph Beyene, Sarah D. McDonald, Hong Soon Kang, Darlene Dixon, Joung Hyuck Joo, Carl D. Bortner and Adriana Lori. Their work appears in journals such as Cancer Research, Journal of Perinatology, Scientific Reports, American Journal of Respiratory and Critical Care Medicine and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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