Xiaoning Huang

706 citations
43 papers · 327 · h-index 10

Impact in

Papers in

Xiaoning Huang

31 papers receiving 313 citations

Peers

Xiaoning Huang
Comparison fields: 5 of 76
  • Obstetrics and Gynecology 27
  • Health 29
  • Cardiology and Cardiovascular Medicine 41
  • Sociology and Political Science 77
  • Clinical Psychology 33
Replace Elka Todorova with:
Elka Todorova Bulgaria
Carina Persson Sweden
Jeby Jose Olickal India
Rachel Ollivier Canada
Paul Douglass United States
Ivana Barać Croatia
Renjulal Yesodharan India
Judith Angelitta Noronha India
Chloé Maxwell‐Smith Australia
Kamilla Bargiel‐Matusiewicz Poland
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Citations per field
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Elka Todorova · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202169
2 202241
3 202229
4 202228
5 201924
6 202320
7 202215
8 202213
9 202311
10 202211
11 20229
12 20238
13 20186
14 20256
15 20255
16 20205
17 20185
18 20253
19 20243
20 20223

About Xiaoning Huang

Xiaoning Huang is a scholar working on Cardiology and Cardiovascular Medicine, Sociology and Political Science, Obstetrics and Gynecology, General Health Professions and Health, having authored 43 papers that have together received 327 indexed citations. Recurring topics across this work include Cardiovascular Health and Risk Factors (8 papers), Gestational Diabetes Research and Management (5 papers), Migration and Labor Dynamics (5 papers), Employment and Welfare Studies (4 papers), Social and Intergroup Psychology (3 papers), Obesity, Physical Activity, Diet (2 papers), Heart Failure Treatment and Management (2 papers) and Migration, Aging, and Tourism Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (27 citations), Health (29 citations), Cardiology and Cardiovascular Medicine (41 citations), Sociology and Political Science (77 citations) and Clinical Psychology (33 citations). Xiaoning Huang has collaborated with scholars based in United States, Philippines and Hong Kong. Frequent co-authors include Sadiya S. Khan, Neeraj Kaushal, Yao Lu, S. Michael Gaddis, Nilay S. Shah, Michael C. Wang, Natalie A. Cameron, Kristen Lee, Jinyu Liu and Lucia C. Petito. Their work appears in journals such as JAMA Cardiology, Journal of the American College of Cardiology, Circulation, JAMA Network Open and Circulation Cardiovascular Quality and Outcomes.

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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