Hongling Huang
- Immunology top 5%
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Oncology top 10%
- CAR-T cell therapy research 3
- Cancer Research top 10%
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- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 3
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- Hippo pathway signaling and YAP/TAZ 6
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- Virus-based gene therapy research 2
- Co-authors
- Hongbo ChiLingyun LongNicole M. ChapmanPeipei ZhouJordy SaraviaSeon Ah LimAnil KCYogesh Dhungana
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Nature (3 papers)Acta Biochimica et Biophysica Sinica (2 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Hongling Huang
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Immunology 426
- Oncology 364
- Cancer Research 186
- Aging 17
- Molecular Biology 526
Countries citing papers authored by Hongling Huang
This map shows the geographic impact of Hongling 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 Hongling Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongling Huang more than expected).
Fields of papers citing papers by Hongling Huang
This network shows the impact of papers produced by Hongling 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 Hongling Huang. The network helps show where Hongling Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongling Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 82 | |
| 4 | 2023 | 73 | |
| 5 | 2023 | 24 | |
| 6 | 2023 | 76 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 95 | |
| 10 | 2019 | 281 | |
| 11 | 2017 | 229 | |
| 12 | 2015 | 16 | |
| 13 | 2015 | 10 | |
| 14 | 2015 | 59 | |
| 15 | 2014 | 7 | |
| 16 | 2013 | 11 | |
| 17 | 2013 | 26 | |
| 18 | 2013 | 8 | |
| 19 | 2012 | 26 | |
| 20 | 2011 | 8 |
About Hongling Huang
Hongling Huang is a scholar working on Immunology, Cell Biology and Biotechnology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (3 papers), Ubiquitin and proteasome pathways (3 papers), Immunotherapy and Immune Responses (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (426 citations), Oncology (364 citations) and Cancer Research (186 citations). Hongling Huang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Hongbo Chi, Lingyun Long, Nicole M. Chapman, Peipei Zhou, Jordy Saravia, Seon Ah Lim, Anil KC, Yogesh Dhungana, Chenxi Qian and Yong‐Dong Wang. Their work appears in journals such as Nature, Acta Biochimica et Biophysica Sinica, Colloids and Surfaces A Physicochemical and Engineering Aspects, Tetrahedron Letters and Journal of Cellular Biochemistry.
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.