Xiaofei Chi

20 papers receiving 267 citations

Peers

Xiaofei Chi
Comparison fields: 5 of 94
  • Microbiology 52
  • Immunology 66
  • Applied Psychology 15
  • Health 16
  • Epidemiology 65
Replace Nichole D. Mahnert with:
Nichole D. Mahnert United States
Aneesha Varrey United States
Selçuk Mıstık Türkiye
Brad McCulloch Australia
Amy S. Cooper United States
Debra Brennessel United States
Jennifer Gunter United States
Katie Rose United Kingdom
Nikolaos Athanasiou Greece
Jörg Faber Germany
Xiaofei Chi relative to Nichole D. Mahnert United States Nichole D. Mahnert's profile →
Citations per field
00.5×3.2×
Nichole D. Mahnert · 1×
Citations per year

Countries citing papers authored by Xiaofei Chi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 201545
3 202026
4 202125
5 201919
6 202016
7 202012
8 201912
9 20208
10 20228
11 20218
12 20187
13 20236
14 20205
15 20215
16 20185
17 20243
18 20233
19 20222
20 20231

About Xiaofei Chi

Xiaofei Chi is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Surgery, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 268 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Reproductive tract infections research (3 papers), Health Promotion and Cardiovascular Prevention (2 papers), Emergency and Acute Care Studies (2 papers), Healthcare Policy and Management (2 papers), Behavioral Health and Interventions (2 papers), Global Maternal and Child Health (2 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Microbiology (52 citations), Immunology (66 citations), Applied Psychology (15 citations), Health (16 citations) and Epidemiology (65 citations). Xiaofei Chi has collaborated with scholars based in United States, Haiti and Puerto Rico. Frequent co-authors include Matthew J. Gurka, Shelly Lensing, William M. Geisler, Rakesh K. Bakshi, Stephen J. Jordan, Chun Gao, Lei Zheng, Tao Zeng, Zhong Huang and Mark D. DeBoer. Their work appears in journals such as The Journal of Pediatrics, Journal of Adolescent Health, BMJ Paediatrics Open, JCO Clinical Cancer Informatics and The Pediatric Infectious Disease Journal.

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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