Ming-Jie Li

2.1k total citations · 1 hit paper
14 papers, 1.7k citations indexed

About

Ming-Jie Li is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Ming-Jie Li has authored 14 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Virology and 5 papers in Immunology. Recurrent topics in Ming-Jie Li's work include RNA Interference and Gene Delivery (9 papers), HIV Research and Treatment (5 papers) and Virus-based gene therapy research (4 papers). Ming-Jie Li is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), HIV Research and Treatment (5 papers) and Virus-based gene therapy research (4 papers). Ming-Jie Li collaborates with scholars based in United States, China and Russia. Ming-Jie Li's co-authors include John J. Rossi, Gerhard Bauer, Ali A. Ehsani, Nan Sook Lee, Taikoh Dohjima, Haitang Li, Paul M. Salvaterra, Nancy Maizels, Ramesh Akkina and Shirley Xin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Ming-Jie Li

13 papers receiving 1.6k citations

Hit Papers

Expression of small interfering RNAs targeted against HIV... 2002 2026 2010 2018 2002 250 500 750

Peers

Ming-Jie Li
Comparison fields: 5 of 62
  • Molecular Biology 1.5k
  • Genetics 560
  • Virology 414
  • Cancer Research 225
  • Immunology 218
Replace Ellen M. Westerhout with:
Ellen M. Westerhout Netherlands
Jean-Marc Jacqué United States
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Ellen M. Westerhout Netherlands View profile →
Citations per field, relative to Ming-Jie Li
Ming-Jie Li · 1×
Citations per year, relative to Ming-Jie Li
Ming-Jie Li · 1×

Countries citing papers authored by Ming-Jie Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Jie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Jie Li. 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 Ming-Jie Li. The network helps show where Ming-Jie Li may publish in the future.

Co-authorship network of co-authors of Ming-Jie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Jie Li. A scholar is included among the top collaborators of Ming-Jie Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming-Jie Li. Ming-Jie Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 87
3 46
4 200
5 30
6 135
7
siRNAs, ribozymes and RNA decoys in modeling stem cell-based gene therapy for HIV/AIDS.
48
8 131
9
Expression of small interfering RNAs targeted against HIV-1 rev transcripts in human cells breakdown →
791
10 15
11 38
12 20
13 20
14 116

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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