Matthew A. Burchill

4.1k citations
37 papers · 3.1k indexed · 1 hit paper · h-index 24
Topics
Immune Cell Function and Interaction (19 papers)T-cell and B-cell Immunology (18 papers)Immunotherapy and Immune Responses (14 papers)

In The Last Decade

Matthew A. Burchill

37 papers receiving 3.1k citations

Hit Papers

IL-2 Receptor β-Dependent STAT5 Activation Is Required fo...20072026201320192007200400600

Peers

Matthew A. Burchill
Comparison fields: 5 of 95
  • Immunology 2.4k
  • Oncology 727
  • Molecular Biology 538
  • Epidemiology 316
  • Genetics 221
Replace John R. Šedý with:
John R. Šedý United States
Vincent Pitard France
Stanley Adoro United States
Amala Alag United States
Terry I. Guinter United States
Richard J. DiPaolo United States
Geoffrey L. Stephens United States
Paula S. Hochman United States
Taichi Ezaki Japan
Alina C. Boesteanu United States
Matthew A. Burchill relative to John R. Šedý United States John R. Šedý's profile →
Citations per field
00.5×1.5×
John R. Šedý · 1×
Citations per year

Countries citing papers authored by Matthew A. Burchill

Since Specialization
Citations

This map shows the geographic impact of Matthew A. Burchill'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 Matthew A. Burchill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Burchill more than expected).

Fields of papers citing papers by Matthew A. Burchill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Burchill. 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 Matthew A. Burchill. The network helps show where Matthew A. Burchill may publish in the future.

Co-authorship network of co-authors of Matthew A. Burchill

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Burchill. A scholar is included among the top collaborators of Matthew A. Burchill 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 Matthew A. Burchill. Matthew A. Burchill 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 2
2 1
3 4
4 18
5 74
6 31
7 29
8 12
9 52
10 48
11 118
12 112
13 206
14 321
15 145
16
IL-2 Receptor β-Dependent STAT5 Activation Is Required for the Development of Foxp3+ Regulatory T Cellsbreakdown →
656
17 8
18 43
19 229
20 169

About Matthew A. Burchill

Matthew A. Burchill is a scholar working on Immunology, Oncology and Hepatology, having authored 37 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (18 papers) and Immunotherapy and Immune Responses (14 papers). The work is most often cited by research in Immunology (2.4k citations), Oncology (727 citations) and Hepatology (173 citations). Matthew A. Burchill has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Michael A. Farrar, Jianying Yang, Bruce R. Blazar, Christine Vogtenhuber, Kieng B. Vang, Ross M. Kedl, Beth A. Jirón Tamburini, Amanda L. Vegoe, Hugo R. Rosen and Christine Goetz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.

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