Alison M. Paterson
- Immunology top 1%
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 12
- Immunotherapy and Immune Responses 7
- Phagocytosis and Immune Regulation 4
- Complement system in diseases 2
- Transplantation top 5%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 4
- Virology top 10%
- Hematology top 10%
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- Diabetes and associated disorders 4
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- Adenosine and Purinergic Signaling 2
- Co-authors
- Arlene H. SharpeLeonardo V. RiellaAnil ChandrakerVijay K. KuchrooPeter T. SageScott B. LovitchHulin JinI‐Cheng Ho
- Cited by
- ImmunologyTransplantationOncology
- Journals
- The Journal of Immunology (4 papers)The Journal of Experimental Medicine (2 papers)Immunological Reviews (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Alison M. Paterson
22 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 1.8k
- Transplantation 99
- Oncology 709
- Virology 38
- Hematology 79
Countries citing papers authored by Alison M. Paterson
This map shows the geographic impact of Alison M. Paterson'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 Alison M. Paterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison M. Paterson more than expected).
Fields of papers citing papers by Alison M. Paterson
This network shows the impact of papers produced by Alison M. Paterson. 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 Alison M. Paterson. The network helps show where Alison M. Paterson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alison M. Paterson, 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 | 2021 | 19 | |
| 2 | 2020 | 18 | |
| 3 | 2020 | 7 | |
| 4 | 2020 | 42 | |
| 5 | 2018 | 8 | |
| 6 | 2016 | 10 | |
| 7 | 2015 | 172 | |
| 8 | 2014 | 324 | |
| 9 | 2012 | 352 | |
| 10 | 2011 | 152 | |
| 11 | 2010 | 18 | |
| 12 | 2010 | 16 | |
| 13 | 2009 | 37 | |
| 14 | The costimulatory molecule ICOS regulates the expression of c-Maf and IL-21 in the development of follicular T helper cells and TH-17 cellsbreakdown → | 2008 | 573 |
| 15 | 2007 | 37 | |
| 16 | 2007 | 72 | |
| 17 | 2006 | 103 | |
| 18 | 2003 | 111 | |
| 19 | 2000 | 59 | |
| 20 | 1992 | 7 |
About Alison M. Paterson
Alison M. Paterson is a scholar working on Immunology, Physiology and Genetics, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (7 papers), Diabetes and associated disorders (4 papers), Phagocytosis and Immune Regulation (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Adenosine and Purinergic Signaling (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Immunology (1.8k citations), Transplantation (99 citations) and Oncology (709 citations). Alison M. Paterson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Arlene H. Sharpe, Leonardo V. Riella, Anil Chandraker, Vijay K. Kuchroo, Peter T. Sage, Scott B. Lovitch, Hulin Jin, I‐Cheng Ho, Aurélie Bauquet and Meike Mitsdoerffer. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Immunological Reviews, Nature Immunology and Blood.
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.