Minjia Mo
Impact in
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
- Pathology and Forensic Medicine top 10%
- Vitamin D Research Studies
Papers in
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- Gestational Diabetes Research and Management 7
- Pregnancy and preeclampsia studies 5
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- Vitamin D Research Studies 9
- Co-authors
- YunXian Yu (26 shared papers)Bule Shao (18 shared papers)Shuojia Wang (17 shared papers)Shuting Si (19 shared papers)Xiamusiye Muyiduli (10 shared papers)Yu Shen (13 shared papers)Shuying Sue Jiang (6 shared papers)Minchao Li (7 shared papers)
In The Last Decade
Minjia Mo
40 papers receiving 641 citations
Peers
Comparison fields: 5 of 71
- Obstetrics and Gynecology 141
- Pathology and Forensic Medicine 140
- Infectious Diseases 87
- Public Health, Environmental and Occupational Health 120
- Pediatrics, Perinatology and Child Health 67
Countries citing papers authored by Minjia Mo
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
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.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 70 | |
| 2 | 2017 | 60 | |
| 3 | 2018 | 58 | |
| 4 | 2018 | 49 | |
| 5 | 2019 | 44 | |
| 6 | 2022 | 36 | |
| 7 | 2021 | 35 | |
| 8 | 2018 | 34 | |
| 9 | 2020 | 28 | |
| 10 | 2019 | 28 | |
| 11 | 2020 | 22 | |
| 12 | 2021 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2025 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 10 |
About Minjia Mo
Minjia Mo is a scholar working on Obstetrics and Gynecology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 654 indexed citations. Recurring topics across this work include Vitamin D Research Studies (9 papers), Gestational Diabetes Research and Management (7 papers), Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (5 papers), Dementia and Cognitive Impairment Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (3 papers). The work is most often cited by research in Obstetrics and Gynecology (141 citations), Pathology and Forensic Medicine (140 citations), Infectious Diseases (87 citations), Public Health, Environmental and Occupational Health (120 citations) and Pediatrics, Perinatology and Child Health (67 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, Shuying Sue Jiang, Minchao Li, Haoyue Cheng and Haibo Zhou. Their work appears in journals such as Nutrients, Clinical Nutrition, Vaccines, Journal of the American Medical Directors Association and Archives of Gynecology and Obstetrics.
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.