Mingjing Wu

9 papers receiving 294 citations

Mingjing Wu's Hit Papers

Treatment of severe COVID-19 with human umbilical cord mesenchymal stem cells 2020 · 214 citations
2140+2+4Years since publication50100150200

Peers

Mingjing Wu
Comparison fields: 5 of 51
  • Genetics 146
  • Neurology 91
  • Infectious Diseases 85
  • Pulmonary and Respiratory Medicine 41
  • Electronic, Optical and Magnetic Materials 21
Replace Changming Niu with:
Changming Niu China
Woong Jae Lee South Korea
Yamac Akgun United States
Clay T. Reed United States
Cécile Moluçon‐Chabrot France
Rajesh Acharya United States
Fadi Hanbali United States
Yuliya Politanska United States
J. A. Penner United States
Mingjing Wu relative to Changming Niu China Changming Niu's profile →
Citations per field
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Changming Niu · 1×
Citations per year

Countries citing papers authored by Mingjing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingjing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Treatment of severe COVID-19 with human umbilical cord mesenchymal stem cells
Hit paper breakdown →
2020214
2 202022
3 201822
4 202118
5 20227
6 20206
7 20205
8 20232
9 20172

About Mingjing Wu

Mingjing Wu is a scholar working on Infectious Diseases, Genetics, Civil and Structural Engineering, Neurology and Molecular Biology, having authored 9 papers that have together received 298 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers), Mesenchymal stem cell research (2 papers), Thermal Radiation and Cooling Technologies (1 paper), Dysphagia Assessment and Management (1 paper), Metamaterials and Metasurfaces Applications (1 paper), COVID-19 and healthcare impacts (1 paper) and Tunneling and Rock Mechanics (1 paper). The work is most often cited by research in Genetics (146 citations), Neurology (91 citations), Infectious Diseases (85 citations), Pulmonary and Respiratory Medicine (41 citations) and Electronic, Optical and Magnetic Materials (21 citations). Mingjing Wu has collaborated with scholars based in China and United States. Frequent co-authors include Lei Shi, Ningfei Ji, Jiaxin Yan, Xiaolin Chen, Kaili Deng, Ganzhu Feng, Lei Shu, Jing Wei, Yang Cao and Tingrong Huang. Their work appears in journals such as Stem Cell Research & Therapy, Frontiers in Cellular and Infection Microbiology, Optical Materials Express, Journal of Medical Virology and Shock and Vibration.

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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