Frances Burke

4.8k citations
40 papers · 3.9k indexed · 2 hit papers · h-index 28
Topics
Immune Cell Function and Interaction (7 papers)Cytokine Signaling Pathways and Interactions (7 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)

In The Last Decade

Frances Burke

38 papers receiving 3.8k citations

Hit Papers

Mice deficient in tumor necrosis factor-α are resistant t...198920262001201319991989200400600

Peers

Frances Burke
Comparison fields: 5 of 127
  • Immunology 1.7k
  • Oncology 1.1k
  • Molecular Biology 948
  • Cancer Research 513
  • Physiology 361
Replace Massimo Sanchez with:
Massimo Sanchez Italy
Juan Zhang China
Janoš Terzić Croatia
Georg H. Waetzig Germany
Gholamreza Azizi Iran
Annette T. Lee United States
Yanli Pang China
Christoph Garbers Germany
Marc Bissonnette United States
Frances Burke relative to Massimo Sanchez Italy Massimo Sanchez's profile →
Citations per field
00.5×1.5×
Massimo Sanchez · 1×
Citations per year

Countries citing papers authored by Frances Burke

Since Specialization
Citations

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

Fields of papers citing papers by Frances Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances Burke. 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 Frances Burke. The network helps show where Frances Burke may publish in the future.

Co-authorship network of co-authors of Frances Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Frances Burke. A scholar is included among the top collaborators of Frances Burke 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 Frances Burke. Frances Burke 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 2
3 3
4 4
5 59
6 215
7 74
8 48
9 49
10
Ovarian cancer cells polarize macrophages towards a tumor-associated phenotype
3
11 318
12 34
13
IFN-gamma induces apoptosis in ovarian cancer cells in vivo and in vitro.
85
14
Mice deficient in tumor necrosis factor-α are resistant to skin carcinogenesisbreakdown →
700
15 11
16 120
17 259
18 88
19 5
20 44

About Frances Burke

Frances Burke is a scholar working on Immunology, Reproductive Medicine and Nephrology, having authored 40 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.1k citations) and Cancer Research (513 citations). Frances Burke has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Frances R. Balkwill, N East, Gordon Stamp, Robert J. Moore, George Kollias, Caroline H. Arnott, Barrett J. Rollins, Manolis Pasparakis, David M. Owens and Julia L. Wilson. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and Nature Medicine.

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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