Amanda Shin
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Physiology top 1%
- Adenosine and Purinergic Signaling
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 2
- Immune cells in cancer 2
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- vaccines and immunoinformatics approaches 4
- RNA Interference and Gene Delivery 2
- Co-authors
- Eugene Maraskovsky (10 shared papers)Jonathan Cebon (10 shared papers)Max Schnurr (9 shared papers)Tracey Toy (8 shared papers)Florent Ginhoux (5 shared papers)Ian D. Davis (5 shared papers)Zhaoyuan Liu (3 shared papers)Yaqi Gu (2 shared papers)
In The Last Decade
Amanda Shin
16 papers receiving 1.6k citations
Amanda Shin's Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 1.1k
- Physiology 242
- Neurology 120
- Hepatology 60
- Oncology 208
Countries citing papers authored by Amanda Shin
This map shows the geographic impact of Amanda Shin'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 Amanda Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Shin more than expected).
Fields of papers citing papers by Amanda Shin
This network shows the impact of papers produced by Amanda Shin. 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 Amanda Shin. The network helps show where Amanda Shin may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda Shin, 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 | Fate Mapping via Ms4a3-Expression History Traces Monocyte-Derived Cells Hit paper breakdown → | 2019 | 435 |
| 2 | 2004 | 184 | |
| 3 | 2004 | 166 | |
| 4 | 2003 | 159 | |
| 5 | 2003 | 105 | |
| 6 | 2003 | 96 | |
| 7 | 2007 | 90 | |
| 8 | 2009 | 86 | |
| 9 | 2014 | 81 | |
| 10 | 2013 | 77 | |
| 11 | 2020 | 68 | |
| 12 | Notch signaling regulates macrophage-mediated inflammation in metabolic dysfunction-associated steatotic liver disease Hit paper breakdown → | 2024 | 47 |
| 13 | 2007 | 38 | |
| 14 | 2010 | 31 | |
| 15 | Schnurr M, Chen Q, Shin A, Chen W, Toy T, Jenderek C et al.. Tumor antigen processing and presentation depend critically on dendritic cell type and the mode of antigen delivery. Blood 105: 2465-2472 | 2005 | 6 |
| 16 | 2008 | 3 |
About Amanda Shin
Amanda Shin is a scholar working on Immunology, Molecular Biology, Physiology, Oncology and Epidemiology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (7 papers), Adenosine and Purinergic Signaling (4 papers), vaccines and immunoinformatics approaches (4 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers), Immune cells in cancer (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (1.1k citations), Physiology (242 citations), Neurology (120 citations), Hepatology (60 citations) and Oncology (208 citations). Amanda Shin has collaborated with scholars based in Australia, Germany and Singapore. Frequent co-authors include Eugene Maraskovsky, Jonathan Cebon, Max Schnurr, Tracey Toy, Florent Ginhoux, Ian D. Davis, Zhaoyuan Liu, Yaqi Gu, Moritz Wagner and Weisan Chen. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Clinical Investigation, Cell and Immunity.
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.