John Silke

36.7k total citations · 9 hit papers
188 papers, 19.8k citations indexed

About

John Silke is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, John Silke has authored 188 papers receiving a total of 19.8k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Molecular Biology, 73 papers in Immunology and 40 papers in Cancer Research. Recurrent topics in John Silke's work include Cell death mechanisms and regulation (93 papers), Ubiquitin and proteasome pathways (39 papers) and NF-κB Signaling Pathways (37 papers). John Silke is often cited by papers focused on Cell death mechanisms and regulation (93 papers), Ubiquitin and proteasome pathways (39 papers) and NF-κB Signaling Pathways (37 papers). John Silke collaborates with scholars based in Australia, Germany and Switzerland. John Silke's co-authors include David L. Vaux, Paul G. Ekert, James E. Vince, Pascal Meier, Anne M. Verhagen, Miha Pakusch, W. Wei‐Lynn Wong, Lisa Connolly, Richard J. Simpson and Robert L. Moritz and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John Silke

183 papers receiving 19.5k citations

Hit Papers

Identification of DIABLO, a Mammalian Protein that Promot... 2000 2026 2008 2017 2000 2007 2006 2011 2009 500 1000 1.5k

Peers

John Silke
Comparison fields: 5 of 143
  • Molecular Biology 15.6k
  • Immunology 6.8k
  • Cancer Research 3.6k
  • Oncology 3.5k
  • Epidemiology 2.7k
Replace Karen O’Rourke with:
Karen O’Rourke United States
Wim Declercq Belgium
Éric Solary France
Yuri Lazebnik United States
Philippe Bouillet Australia
Tullia Lindsten United States
Razqallah Hakem Canada
Teresa Fernandes‐Alnemri United States
Bing Su United States
Shin Yonehara Japan
Karen O’Rourke United States View profile →
Citations per field, relative to John Silke
John Silke · 1×
Citations per year, relative to John Silke
John Silke · 1×

Countries citing papers authored by John Silke

Since Specialization
Citations

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

Fields of papers citing papers by John Silke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Silke

This figure shows the co-authorship network connecting the top 25 collaborators of John Silke. A scholar is included among the top collaborators of John Silke 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 John Silke. John Silke 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
# Work Indexed citations
1 4
2 3
3 2
4 11
5 9
6 77
7 2
8
Antagonism of IAPs enhances CAR T cell efficacy
1
9 64
10 254
11 15
12 239
13 36
14 137
15
IAP Antagonists Target cIAP1 to Induce TNFα-Dependent Apoptosis breakdown →
879
16 74
17
Apaf-1, Caspase-2 and Caspase-9 accelerate apoptosis, but do not determine whether factor-deprived cells die
0
18 178
19 423
20 286

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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