Mingjun Huang
- Organic Chemistry top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Virology top 2%
- Immunology top 10%
- Co-authors
- William G. RiceDavid G. CovellAndrew MaynardJim A. TurpinMichael F. SummersRobert A. BrodskyMichael GeffnerEttore Appella
- Topics
- Complement system in diseases (14 papers)HIV/AIDS drug development and treatment (13 papers)Hepatitis C virus research (13 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mingjun Huang
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Organic Chemistry 438
- Infectious Diseases 436
- Molecular Biology 409
- Virology 392
- Immunology 312
Countries citing papers authored by Mingjun Huang
This map shows the geographic impact of Mingjun Huang'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 Mingjun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Huang more than expected).
Fields of papers citing papers by Mingjun Huang
This network shows the impact of papers produced by Mingjun Huang. 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 Mingjun Huang. The network helps show where Mingjun Huang may publish in the future.
Co-authorship network of co-authors of Mingjun Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Huang. A scholar is included among the top collaborators of Mingjun Huang 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 Mingjun Huang. Mingjun Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | Oral Administration of the Complement Factor D Inhibitor Danicopan (ALXN2040) in Preclinical Studies Demonstrates High and Sustained Drug Concentrations in Posterior Ocular Tissues for the Potential Treatment of Geographic Atrophy | 6 |
| 11 | 0 | |
| 12 | Ocular Pharmacokinetics and Safety of Suprachoroidal A01017, Small Molecule Complement Inhibitor, Injectable Suspension in Rabbits | 8 |
| 13 | Ocular Tissue Distribution of the Complement Factor D Inhibitor Danicopan Following Oral Administration in Rabbits | 1 |
| 14 | 33 | |
| 15 | 9 | |
| 16 | 66 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 188 | |
| 20 | 106 |
About Mingjun Huang
Mingjun Huang is a scholar working on Virology, Hepatology and Hematology, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complement system in diseases (14 papers), HIV/AIDS drug development and treatment (13 papers) and Hepatitis C virus research (13 papers). The work is most often cited by research in Virology (392 citations), Infectious Diseases (436 citations) and Nephrology (137 citations). Mingjun Huang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include William G. Rice, David G. Covell, Andrew Maynard, Jim A. Turpin, Michael F. Summers, Robert A. Brodsky, Michael Geffner, Ettore Appella, John K. Inman and Yongnian Sun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.
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.