Hong Zan
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Immunology 61
- T-cell and B-cell Immunology 50
- Immune Cell Function and Interaction 45
- Immunotherapy and Immune Responses 13
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Paolo CasaliZhenming XuAndrea CeruttiAndrás SchafferEgest J. PoneThach MaiAhmed A. Al‐QahtaniJinsong Zhang
- Journals
- The Journal of Immunology (19 papers)Frontiers in Immunology (6 papers)Nature Communications (5 papers)Immunity (3 papers)Molecular Immunology (3 papers)
- Partner nations
- United StatesChinaCuba
In The Last Decade
Hong Zan
70 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 2.3k
- Genetics 320
- Cancer Research 427
- Molecular Biology 1.5k
- Pathology and Forensic Medicine 337
Countries citing papers authored by Hong Zan
This map shows the geographic impact of Hong Zan'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 Hong Zan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Zan more than expected).
Fields of papers citing papers by Hong Zan
This network shows the impact of papers produced by Hong Zan. 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 Hong Zan. The network helps show where Hong Zan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong Zan, 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 | 2024 | 23 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 9 | |
| 4 | B cell-intrinsic epigenetic modulation of antibody responses by dietary fiber-derived short-chain fatty acids Hit paper breakdown → | 2020 | 256 |
| 5 | 2016 | 23 | |
| 6 | 2015 | 70 | |
| 7 | 2015 | 32 | |
| 8 | 2012 | 92 | |
| 9 | 2011 | 1 | |
| 10 | 2010 | 17 | |
| 11 | 2007 | 7 | |
| 12 | 2006 | 28 | |
| 13 | 2006 | 61 | |
| 14 | Effects of POS Tagging on Performance of IR Systems | 2005 | 1 |
| 15 | 2005 | 41 | |
| 16 | 2003 | 30 | |
| 17 | 2003 | 31 | |
| 18 | 2002 | 57 | |
| 19 | CD30 signaling negatively regulates CD40-induced immunoglobulin class switching in human B cells. A mechanism for preferential differentiation of antigen selected germinal center B cells | 1998 | 2 |
| 20 | 1998 | 62 |
About Hong Zan
Hong Zan is a scholar working on Immunology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (50 papers), Immune Cell Function and Interaction (45 papers), Immunotherapy and Immune Responses (13 papers), DNA Repair Mechanisms (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cytomegalovirus and herpesvirus research (6 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Immunology (2.3k citations), Genetics (320 citations), Cancer Research (427 citations), Molecular Biology (1.5k citations) and Pathology and Forensic Medicine (337 citations). Hong Zan has collaborated with scholars based in United States, China and Cuba. Frequent co-authors include Paolo Casali, Zhenming Xu, Andrea Cerutti, András Schaffer, Egest J. Pone, Thach Mai, Ahmed A. Al‐Qahtani, Jinsong Zhang, Guideng Li and Clayton A. White. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Nature Communications, Immunity and Molecular Immunology.
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.