Guanglan Guo

1.3k citations
10 papers · 640 · h-index 10

Impact in

Papers in

Guanglan Guo

10 papers receiving 628 citations

Peers

Guanglan Guo
Comparison fields: 5 of 41
  • Obstetrics and Gynecology 303
  • Cardiology and Cardiovascular Medicine 261
  • Pediatrics, Perinatology and Child Health 203
  • Immunology 84
  • Cancer Research 43
Replace Madonna Grehan with:
Madonna Grehan Australia
A. Mastrogiacomo Italy
Sylwia Kuć Netherlands
Felix Stonek Austria
Allyah Abbas‐Hanif United States
Rafaela Erices Chile
Brian D. Wilcox United States
Y. Torii Japan
Sandra Zekić Tomaš Croatia
K. Aisaka Japan
Guanglan Guo relative to Madonna Grehan Australia Madonna Grehan's profile →
Citations per field
00.5×11.3×
Madonna Grehan · 1×
Citations per year

Countries citing papers authored by Guanglan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Guanglan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2000137
2 2007112
3 2012109
4
A genomewide linkage study of preeclampsia/eclampsia reveals evidence for a candidate region on 4q.
199786
5 201247
6 199746
7 199942
8 199930
9 199517
10 199914

About Guanglan Guo

Guanglan Guo is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology, having authored 10 papers that have together received 640 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), MicroRNA in disease regulation (3 papers), Reproductive System and Pregnancy (1 paper), Prenatal Screening and Diagnostics (1 paper), Renin-Angiotensin System Studies (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Obstetrics and Gynecology (303 citations), Cardiology and Cardiovascular Medicine (261 citations), Pediatrics, Perinatology and Child Health (203 citations), Immunology (84 citations) and Cancer Research (43 citations). Guanglan Guo has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Shaun P. Brennecke, Alan N. Wilton, Desmond W. Cooper, Madonna Grehan, Eric K. Moses, Diane Fatkin, Dennis L. Kuchar, Jamie I. Vandenberg, M. Leticia Castro and Joseph D. Terwilliger. Their work appears in journals such as Journal of the American College of Cardiology, Hypertension in Pregnancy, Human Genetics, Electrophoresis and The American Journal of Human Genetics.

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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