Huijing Ma

435 citations
21 papers · 305 · h-index 10

Impact in

Papers in

Huijing Ma

19 papers receiving 300 citations

Peers

Huijing Ma
Comparison fields: 5 of 82
  • Infectious Diseases 93
  • Obstetrics and Gynecology 27
  • Critical Care and Intensive Care Medicine 17
  • Health Informatics 4
  • Biochemistry 11
Replace Dina Moustafa Abo El-Ella with:
Dina Moustafa Abo El-Ella Egypt
Chang Gao China
Chongyong Xu China
Armin Sadeghi Iran
Marcel V. W. Wijnands Netherlands
Jer Ping Ooi Malaysia
Justyna Dorf Poland
Zeba Siddiqi India
Karina Sánchez-Reyes Mexico
Shengyu Zhang China
Huijing Ma relative to Dina Moustafa Abo El-Ella Egypt Dina Moustafa Abo El-Ella's profile →
Citations per field
00.5×20×40×69×
Dina Moustafa Abo El-Ella · 1×
Citations per year

Countries citing papers authored by Huijing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Huijing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 202243
3 202234
4 201224
5 202120
6 202016
7 202115
8 202013
9 202111
10 20219
11 20246
12 20244
13 20154
14 20242
15 20202
16 20252
17 20202
18 20241
19 20241
20 20250

About Huijing Ma

Huijing Ma is a scholar working on Molecular Biology, Obstetrics and Gynecology, Infectious Diseases, Surgery and Oncology, having authored 21 papers that have together received 305 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Cancer Cells and Metastasis (2 papers), COVID-19 diagnosis using AI (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Epigenetics and DNA Methylation (2 papers), COVID-19 Clinical Research Studies (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Infectious Diseases (93 citations), Obstetrics and Gynecology (27 citations), Critical Care and Intensive Care Medicine (17 citations), Health Informatics (4 citations) and Biochemistry (11 citations). Huijing Ma has collaborated with scholars based in China, United Kingdom and Norway. Frequent co-authors include Jianbo Shao, Jun Xia, Xi Zhou, Hui Li, Luke Wesemann, Jie Tian, Rafael Ramos, Wei Chen, Jiani Hu and Ying Cheng. Their work appears in journals such as Biochemical and Biophysical Research Communications, Gene, BMC Medicine, npj Science of Food and Archives of Biochemistry and Biophysics.

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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