Xiaolan Gao

896 citations
69 papers · 572 · h-index 14

Impact in

Papers in

Xiaolan Gao

64 papers receiving 559 citations

Peers

Xiaolan Gao
Comparison fields: 5 of 95
  • Clinical Biochemistry 252
  • Rheumatology 146
  • Critical Care and Intensive Care Medicine 44
  • Radiological and Ultrasound Technology 28
  • Pediatrics, Perinatology and Child Health 104
Replace Connie J. Beehler with:
Connie J. Beehler United States
Csilla Putz‐Bankuti Austria
Cinzia Lombardi Italy
Hilde Giezek United States
Rick Chin Canada
Élise Artaud-Macari France
Jean-Pierre Fulgencio France
Soroush Seifirad Iran
Daan Kremer Netherlands
R. Kluthe Germany
Xiaolan Gao relative to Connie J. Beehler United States Connie J. Beehler's profile →
Citations per field
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Connie J. Beehler · 1×
Citations per year

Countries citing papers authored by Xiaolan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201059
2 201845
3 201138
4 201432
5 201426
6 202324
7 202120
8 202117
9 201014
10
[A pilot study of selective screening for high risk children with inborn error of metabolism using tandem mass spectrometry in China].
200414
11
[Application of tandem mass spectrometry in diagnosis of organic acidemias].
200513
12 201813
13 202313
14 201513
15
[Diagnosis of inborn errors of metabolism using tandem mass spectrometry and gas chromatography mass spectrometry].
200813
16
[Analysis of gene mutations in Chinese patients with methylmalonic acidemia and homocysteinemia].
200913
17 202113
18 202312
19 199211
20 202411

About Xiaolan Gao

Xiaolan Gao is a scholar working on Clinical Biochemistry, Molecular Biology, Physiology, Rheumatology and Epidemiology, having authored 69 papers that have together received 572 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (33 papers), Folate and B Vitamins Research (14 papers), Mitochondrial Function and Pathology (12 papers), Diet and metabolism studies (10 papers), Amino Acid Enzymes and Metabolism (10 papers), Lysosomal Storage Disorders Research (9 papers), Sepsis Diagnosis and Treatment (5 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Clinical Biochemistry (252 citations), Rheumatology (146 citations), Critical Care and Intensive Care Medicine (44 citations), Radiological and Ultrasound Technology (28 citations) and Pediatrics, Perinatology and Child Health (104 citations). Xiaolan Gao has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xuefan Gu, Wenjuan Qiu, Lianshu Han, Huiwen Zhang, Jun Ye, Xiaolei Zhao, Yu Wang, Jun Ye, Yafen Zhang and Wenjun Ji. Their work appears in journals such as Scientific Reports, Journal of Inherited Metabolic Disease, PLoS ONE, JAMA Network Open and Infection and Drug Resistance.

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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