Zhaolin Hua
- Cell Biology top 1%
- Cellular transport and secretion 8
- Endoplasmic Reticulum Stress and Disease 7
- Aging top 5%
- Immunology top 5%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 7
- Immune Response and Inflammation 3
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 4
- Photosynthetic Processes and Mechanisms 3
- Co-authors
- Todd R. GrahamBaidong HouRobert H. EdwardsSusan M. VoglmaierDoris L. FortinRoger A. NicollKaiwen KamHua Yang
- Cited by
- Cell BiologyAgingImmunology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Neuron (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhaolin Hua
25 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 99
- Cell Biology 789
- Aging 71
- Immunology 493
- Cellular and Molecular Neuroscience 391
- Molecular Biology 1.3k
Countries citing papers authored by Zhaolin Hua
This map shows the geographic impact of Zhaolin Hua'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 Zhaolin Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaolin Hua more than expected).
Fields of papers citing papers by Zhaolin Hua
This network shows the impact of papers produced by Zhaolin Hua. 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 Zhaolin Hua. The network helps show where Zhaolin Hua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhaolin Hua, 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 | 2024 | 5 | |
| 3 | 2024 | 5 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 1 | |
| 6 | 2018 | 215 | |
| 7 | 2017 | 44 | |
| 8 | 2012 | 203 | |
| 9 | 2012 | 60 | |
| 10 | 2011 | 129 | |
| 11 | 2011 | 74 | |
| 12 | Effects of goat placental immunoregulatory factor on non-specific immunity of mice. | 2009 | 2 |
| 13 | 2007 | 46 | |
| 14 | 2006 | 329 | |
| 15 | 2006 | 73 | |
| 16 | 2004 | 88 | |
| 17 | 2003 | 82 | |
| 18 | 2002 | 143 | |
| 19 | 2002 | 217 | |
| 20 | 2000 | 15 |
About Zhaolin Hua
Zhaolin Hua is a scholar working on Aging, Immunology and Cell Biology, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Cellular transport and secretion (8 papers), T-cell and B-cell Immunology (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Immunotherapy and Immune Responses (7 papers), Lipid Membrane Structure and Behavior (4 papers), Photosynthetic Processes and Mechanisms (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Cell Biology (789 citations), Aging (71 citations) and Immunology (493 citations). Zhaolin Hua has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Todd R. Graham, Baidong Hou, Robert H. Edwards, Susan M. Voglmaier, Doris L. Fortin, Roger A. Nicoll, Kaiwen Kam, Hua Yang, Ke Liu and Paramasivam Natarajan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Experimental Medicine.
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.