Baibing Mi

2.0k citations
106 papers · 1.1k · h-index 19

Impact in

Papers in

Baibing Mi

90 papers receiving 1.1k citations

Peers

Baibing Mi
Comparison fields: 5 of 131
  • Obstetrics and Gynecology 163
  • Research and Theory 15
  • Nutrition and Dietetics 164
  • Public Health, Environmental and Occupational Health 228
  • Pediatrics, Perinatology and Child Health 149
Replace Daniela D’Angelo with:
Daniela D’Angelo Italy
Michèle Rivard Canada
Mahmoud Khodadost Iran
Judith M. E. Walsh United States
Kashif Shafique Pakistan
Md Nazmul Karim Australia
Kiheon Lee South Korea
Eun Hee Ha South Korea
Rakibul M. Islam Australia
Yeol Kim South Korea
Baibing Mi relative to Daniela D’Angelo Italy Daniela D’Angelo's profile →
Citations per field
00.5×3.8×
Daniela D’Angelo · 1×
Citations per year

Countries citing papers authored by Baibing Mi

Since Specialization
Citations

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

Fields of papers citing papers by Baibing Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201780
2 202065
3 202259
4 201657
5 201457
6 201546
7 202240
8 201840
9 201931
10 201530
11 202328
12 202024
13 202223
14 201922
15 201922
16 202222
17 202022
18 201721
19 201720
20 202318

About Baibing Mi

Baibing Mi is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Physiology and Nutrition and Dietetics, having authored 106 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (22 papers), Birth, Development, and Health (21 papers), Obesity, Physical Activity, Diet (17 papers), Pregnancy and preeclampsia studies (15 papers), Gestational Diabetes Research and Management (14 papers), Diet and metabolism studies (10 papers), Folate and B Vitamins Research (10 papers) and Blood Pressure and Hypertension Studies (7 papers). The work is most often cited by research in Obstetrics and Gynecology (163 citations), Research and Theory (15 citations), Nutrition and Dietetics (164 citations), Public Health, Environmental and Occupational Health (228 citations) and Pediatrics, Perinatology and Child Health (149 citations). Baibing Mi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hong Yan, Shaonong Dang, Lingxia Zeng, Duolao Wang, Yaling Zhao, Fangyao Chen, Pengfei Qu, Danmeng Liu, Le Ma and Youfa Wang. Their work appears in journals such as Nutrients, Scientific Reports, Journal of Nutrition, Frontiers in Public Health and Medicine.

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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