Qiulong Huang
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Epidemiology
- Infectious Diseases top 10%
- Co-authors
- Edward T. OlejniczakAndrew M. PetrosStephen W. FesikJason S. StumhoferLothar HennighausenEmma H. WilsonChristopher A. HunterMatthias Ernst
- Topics
- Cancer Treatment and Pharmacology (5 papers)Microbial Natural Products and Biosynthesis (4 papers)Plant biochemistry and biosynthesis (4 papers)
- Cited by
- ImmunologyParasitologyOncology
- Journals
- Proceedings of the National Academy of SciencesNature ImmunologyJournal of Molecular Biology
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Qiulong Huang
13 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Immunology 712
- Molecular Biology 507
- Oncology 320
- Epidemiology 249
- Infectious Diseases 211
Countries citing papers authored by Qiulong Huang
This map shows the geographic impact of Qiulong 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 Qiulong Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiulong Huang more than expected).
Fields of papers citing papers by Qiulong Huang
This network shows the impact of papers produced by Qiulong 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 Qiulong Huang. The network helps show where Qiulong Huang may publish in the future.
Co-authorship network of co-authors of Qiulong Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Qiulong Huang. A scholar is included among the top collaborators of Qiulong 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 Qiulong Huang. Qiulong 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 | Interleukin 27 negatively regulates the development of interleukin 17–producing T helper cells during chronic inflammation of the central nervous systembreakdown → | 779 |
| 2 | 7 | |
| 3 | 59 | |
| 4 | 41 | |
| 5 | 192 | |
| 6 | 31 | |
| 7 | 76 | |
| 8 | 103 | |
| 9 | 162 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 44 | |
| 13 | 6 |
About Qiulong Huang
Qiulong Huang is a scholar working on Pharmacology, Oncology and Immunology, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Microbial Natural Products and Biosynthesis (4 papers) and Plant biochemistry and biosynthesis (4 papers). The work is most often cited by research in Immunology (712 citations), Parasitology (101 citations) and Oncology (320 citations). Qiulong Huang has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Edward T. Olejniczak, Andrew M. Petros, Stephen W. Fesik, Jason S. Stumhofer, Lothar Hennighausen, Emma H. Wilson, Christopher A. Hunter, Matthias Ernst, Arian Laurence and Akihiko Yoshimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Journal of Molecular Biology.
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.