Minjia Mo

947 citations
41 papers · 558 · h-index 13

Impact in

Papers in

Minjia Mo

38 papers receiving 544 citations

Peers

Minjia Mo
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 196
  • Pathology and Forensic Medicine 160
  • Pediatrics, Perinatology and Child Health 122
  • Public Health, Environmental and Occupational Health 141
  • Infectious Diseases 88
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Kelvin Okoth United Kingdom
Hadith Rastad Iran
Emre Basatemür United Kingdom
Amy M. Valent United States
Alexandra Legge Canada
S. K. Bhargava India
Enrique Reyes-Muñoz Mexico
Salvador Espino y Sosa Mexico
Andreas Fretzayas Greece
Alex Fong United States
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Citations per field
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Citations per year

Countries citing papers authored by Minjia Mo

Since Specialization
Citations

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

Fields of papers citing papers by Minjia Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minjia Mo, 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 Minjia Mo Line = papers co-authored together Minjia Mo 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 202161
2 201754
3 201853
4 201847
5 201940
6 201933
7 202229
8 201829
9 201926
10 202026
11 202017
12 202116
13 202214
14 202110
15 202210
16 20239
17 20239
18 20208
19 20217
20 20227

About Minjia Mo

Minjia Mo is a scholar working on Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 41 papers that have together received 558 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (11 papers), Gestational Diabetes Research and Management (11 papers), Vitamin D Research Studies (10 papers), Birth, Development, and Health (9 papers), Menstrual Health and Disorders (4 papers), Dementia and Cognitive Impairment Research (4 papers), Pregnancy and Medication Impact (4 papers) and Maternal Mental Health During Pregnancy and Postpartum (4 papers). The work is most often cited by research in Obstetrics and Gynecology (196 citations), Pathology and Forensic Medicine (160 citations), Pediatrics, Perinatology and Child Health (122 citations), Public Health, Environmental and Occupational Health (141 citations) and Infectious Diseases (88 citations). Minjia Mo has collaborated with scholars based in China, Sweden and Slovenia. Frequent co-authors include Yunxian Yu, Bule Shao, Shuojia Wang, Shuting Si, Xiamusiye Muyiduli, Yu Shen, Minchao Li, Shuying Jiang, Haoyue Cheng and Zhaopin Wang. Their work appears in journals such as Nutrients, Clinical Nutrition, Vaccines, Archives of Gynecology and Obstetrics and Journal of the American Medical Directors Association.

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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