Alison M. Paterson

3.0k citations
22 papers · 2.3k indexed · 1 hit paper · h-index 17
Topics
Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (12 papers)Immunotherapy and Immune Responses (7 papers)

In The Last Decade

Alison M. Paterson

22 papers receiving 2.2k citations

Hit Papers

The costimulatory molecule ICOS regulates the expression ...20082026201420202008100200300400500

Peers

Alison M. Paterson
Comparison fields: 5 of 87
  • Immunology 1.8k
  • Oncology 709
  • Molecular Biology 220
  • Genetics 172
  • Surgery 133
Replace Jeff Martinson with:
Jeff Martinson United States
Jonathan H. Esensten United States
Pranay Dogra United States
Esther van Rijssen Netherlands
Stephen Manning United States
Adélaïda Sarukhan France
Victor H. Salinas United States
Kevin J. Young Canada
Raewyn Broady Canada
Jean‐François Eliaou France
Alison M. Paterson relative to Jeff Martinson United States Jeff Martinson's profile →
Citations per field
00.5×2.8×
Jeff Martinson · 1×
Citations per year

Countries citing papers authored by Alison M. Paterson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Alison M. Paterson

This figure shows the co-authorship network connecting the top 25 collaborators of Alison M. Paterson. A scholar is included among the top collaborators of Alison M. Paterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alison M. Paterson. Alison M. Paterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 18
3 7
4 42
5 8
6 10
7 172
8 324
9 352
10 152
11 18
12 16
13 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 →
573
15 37
16 72
17 103
18 111
19 59
20 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) and Immunotherapy and Immune Responses (7 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 Cell, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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.

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