Heather H. Pua
- Physiology top 1%
- Immunology top 5%
- Immune Cell Function and Interaction 8
- IL-33, ST2, and ILC Pathways 5
- Phagocytosis and Immune Regulation 5
- Immune cells in cancer 3
- Epidemiology top 2%
- Autophagy in Disease and Therapy 8
- Cancer Research top 5%
- MicroRNA in disease regulation 11
- Parasitology top 5%
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- Extracellular vesicles in disease 11
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- Neonatal Respiratory Health Research 3
- Co-authors
- You‐Wen HeNoboru MizushimaIvan DzhagalovYou-Wen HeK. Mark AnselMasaaki KomatsuJian GuoQi-Jing Li
- Cited by
- PhysiologyImmunologyEpidemiology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Experimental Medicine (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Heather H. Pua
31 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Physiology 270
- Immunology 909
- Epidemiology 1.2k
- Cancer Research 512
- Parasitology 131
Countries citing papers authored by Heather H. Pua
This map shows the geographic impact of Heather H. Pua'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 Heather H. Pua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather H. Pua more than expected).
Fields of papers citing papers by Heather H. Pua
This network shows the impact of papers produced by Heather H. Pua. 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 Heather H. Pua. The network helps show where Heather H. Pua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heather H. Pua, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 26 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 11 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 167 | |
| 9 | 2021 | 0 | |
| 10 | 2019 | 58 | |
| 11 | 2018 | 1 | |
| 12 | 2017 | 68 | |
| 13 | 2017 | 16 | |
| 14 | 2016 | 103 | |
| 15 | 2014 | 11 | |
| 16 | 2014 | 192 | |
| 17 | 2013 | 10 | |
| 18 | 2009 | 24 | |
| 19 | 2008 | 276 | |
| 20 | A critical role for the autophagy gene Atg5 in T cell survival and proliferationbreakdown → | 2006 | 515 |
About Heather H. Pua
Heather H. Pua is a scholar working on Immunology, Cancer Research and Epidemiology, having authored 36 papers that have together received 2.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (11 papers), Immune Cell Function and Interaction (8 papers), Autophagy in Disease and Therapy (8 papers), IL-33, ST2, and ILC Pathways (5 papers), Phagocytosis and Immune Regulation (5 papers), Neonatal Respiratory Health Research (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Physiology (270 citations), Immunology (909 citations) and Epidemiology (1.2k citations). Heather H. Pua has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include You‐Wen He, Noboru Mizushima, Ivan Dzhagalov, You-Wen He, K. Mark Ansel, Masaaki Komatsu, Jian Guo, Qi-Jing Li, Wei Jia and Marjan Rafat. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell 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.