Stephen M. Condon

3.7k citations
38 papers · 2.5k indexed · 2 hit papers · h-index 18
Topics
Cell death mechanisms and regulation (10 papers)Synthetic Organic Chemistry Methods (8 papers)Ubiquitin and proteasome pathways (6 papers)

In The Last Decade

Stephen M. Condon

36 papers receiving 2.4k citations

Hit Papers

IAP Antagonists Target cIAP1 to Induce TNFα-Dependent Apo...200720262013201920072015250500750

Peers

Stephen M. Condon
Comparison fields: 5 of 103
  • Molecular Biology 1.8k
  • Immunology 818
  • Cancer Research 506
  • Organic Chemistry 463
  • Oncology 391
Replace Naoyuki Kanzaki with:
Naoyuki Kanzaki Japan
John S. McMurray United States
Clark A. Sehon United States
Chengye Yuan China
Timothy B. Lowinger United States
Longchuan Bai United States
Alexander R. Shoemaker United States
Masanobu Naruto Japan
Frank Bennett United States
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Stephen M. Condon relative to Naoyuki Kanzaki Japan Naoyuki Kanzaki's profile →
Citations per field
00.5×2.6×
Naoyuki Kanzaki · 1×
Citations per year

Countries citing papers authored by Stephen M. Condon

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Condon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Condon. 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 Stephen M. Condon. The network helps show where Stephen M. Condon may publish in the future.

Co-authorship network of co-authors of Stephen M. Condon

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Condon. A scholar is included among the top collaborators of Stephen M. Condon 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 Stephen M. Condon. Stephen M. Condon 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 0
2 38
3 3
4 2
5
RIPK3 promotes cell death and NLRP3 inflammasome activation in the absence of MLKLbreakdown →
510
6 1
7 120
8 17
9 17
10 33
11 25
12 209
13
IAP Antagonists Target cIAP1 to Induce TNFα-Dependent Apoptosisbreakdown →
879
14 6
15 1
16 39
17 14
18 65
19 59
20 17

About Stephen M. Condon

Stephen M. Condon is a scholar working on Organic Chemistry, Hepatology and Molecular Biology, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (10 papers), Synthetic Organic Chemistry Methods (8 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Immunology (818 citations), Cancer Research (506 citations) and Molecular Biology (1.8k citations). Stephen M. Condon has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include John Silke, David L. Vaux, Christopher A. Benetatos, James E. Vince, W. Wei‐Lynn Wong, Srinivas K. Chunduru, Mark A. McKinlay, Nufail Khan, Diep Chau and Pascal Schneider. Their work appears in journals such as Cell, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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