Kim Burns

6.8k total citations · 4 hit papers
10 papers, 5.7k citations indexed

About

Kim Burns is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Kim Burns has authored 10 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Kim Burns's work include Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (6 papers) and Cell death mechanisms and regulation (5 papers). Kim Burns is often cited by papers focused on Immune Response and Inflammation (6 papers), NF-κB Signaling Pathways (6 papers) and Cell death mechanisms and regulation (5 papers). Kim Burns collaborates with scholars based in Switzerland, United States and Belgium. Kim Burns's co-authors include Jürg Tschopp, Kay Hofmann, Margot Thome, Pascal Schneider, Jean-Luc Bodmer, Chantal Mattmann, Michael Schröter, Lars E. French, Michael Hahne and Martin Irmler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Kim Burns

10 papers receiving 5.6k citations

Hit Papers

Inhibition of death receptor signals by cellular FLIP 1997 2026 2006 2016 1997 1997 2004 1997 500 1000 1.5k 2.0k

Peers

Kim Burns
Comparison fields: 5 of 104
  • Molecular Biology 3.7k
  • Immunology 3.0k
  • Cancer Research 1.3k
  • Oncology 1.2k
  • Epidemiology 986
Replace Chantal Mattmann with:
Chantal Mattmann Switzerland
Michael Eby United States
Ken Schooley United States
Ralph C. Budd United States
Louise Carlson United States
Jean-Luc Bodmer Switzerland
P H Krammer Germany
Kate Welsh United States
Edward W. Harhaj United States
Jens Dhein Germany
Chantal Mattmann Switzerland View profile →
Citations per field, relative to Kim Burns
Kim Burns · 1×
Citations per year, relative to Kim Burns
Kim Burns · 1×

Countries citing papers authored by Kim Burns

Since Specialization
Citations

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

Fields of papers citing papers by Kim Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Burns

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Burns. A scholar is included among the top collaborators of Kim Burns 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 Kim Burns. Kim Burns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 233
2
RIP1 is an essential mediator of Toll-like receptor 3–induced NF-κB activation breakdown →
674
3 153
4 231
5 101
6 275
7
TRAIL Receptors 1 (DR4) and 2 (DR5) Signal FADD-Dependent Apoptosis and Activate NF-κB breakdown →
605
8
Inhibition of death receptor signals by cellular FLIP breakdown →
2123
9
Viral FLICE-inhibitory proteins (FLIPs) prevent apoptosis induced by death receptors breakdown →
1066
10 233

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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