Xiaoning Huang

620 citations
41 papers · 295 · h-index 10

Impact in

Papers in

Xiaoning Huang

27 papers receiving 282 citations

Peers

Xiaoning Huang
Comparison fields: 5 of 79
  • Health 56
  • Obstetrics and Gynecology 32
  • Cardiology and Cardiovascular Medicine 56
  • Pediatrics, Perinatology and Child Health 45
  • Sociology and Political Science 90
Replace Chunxiang Qin with:
Chunxiang Qin China
Christina Dimitrakaki Greece
Corinne Trevitt Australia
Heather R. Farmer United States
Hongxia Guo China
Laurel Milam United States
Jaakko Reinikainen Finland
Marcus R. Andrews United States
Madeline Farron United States
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Citations per year

Countries citing papers authored by Xiaoning Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202168
2 202235
3 202228
4 202226
5 201923
6 202317
7 202214
8 202212
9 202211
10 20229
11 20238
12 20237
13 20186
14 20185
15 20254
16 20204
17 20253
18 20223
19 20242
20 20252

About Xiaoning Huang

Xiaoning Huang is a scholar working on Cardiology and Cardiovascular Medicine, Sociology and Political Science, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and General Health Professions, having authored 41 papers that have together received 295 indexed citations. Recurring topics across this work include Cardiovascular Health and Risk Factors (8 papers), Gestational Diabetes Research and Management (5 papers), Pregnancy and preeclampsia studies (5 papers), Migration and Labor Dynamics (5 papers), Birth, Development, and Health (4 papers), Employment and Welfare Studies (4 papers), Social and Intergroup Psychology (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Health (56 citations), Obstetrics and Gynecology (32 citations), Cardiology and Cardiovascular Medicine (56 citations), Pediatrics, Perinatology and Child Health (45 citations) and Sociology and Political Science (90 citations). Xiaoning Huang has collaborated with scholars based in United States, South Korea and Hong Kong. Frequent co-authors include Neeraj Kaushal, Sadiya S. Khan, Yao Lu, S. Michael Gaddis, Nilay S. Shah, Jinyu Liu, Michael C. Wang, Kristen Lee, Ai Bo and Natalie A. Cameron. Their work appears in journals such as JAMA Cardiology, Circulation, Journal of the American College of Cardiology, JAMA Network Open and JAMA.

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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