Stephen N. Waggoner

4.7k citations
55 papers · 3.3k indexed · 1 hit paper · h-index 28
Topics
Immune Cell Function and Interaction (40 papers)T-cell and B-cell Immunology (30 papers)IL-33, ST2, and ILC Pathways (11 papers)

In The Last Decade

Stephen N. Waggoner

50 papers receiving 3.3k citations

Hit Papers

The AIM2 inflammasome is essential for host defense again...201020262015202020102505007501000

Peers

Stephen N. Waggoner
Comparison fields: 5 of 107
  • Immunology 2.4k
  • Molecular Biology 1.1k
  • Epidemiology 640
  • Infectious Diseases 360
  • Oncology 351
Replace Franziska Ampenberger with:
Franziska Ampenberger Switzerland
Jason K. Whitmire United States
Shen‐Ying Zhang France
Mike Recher Switzerland
Francisco Borrás‐Cuesta Spain
Elina I. Zúñiga United States
Magdalena Tary‐Lehmann United States
Michelle A. Linterman United Kingdom
Alison Simmons United Kingdom
Adrien Six France
Stephen N. Waggoner relative to Franziska Ampenberger Switzerland Franziska Ampenberger's profile →
Citations per field
00.5×1.5×
Franziska Ampenberger · 1×
Citations per year

Countries citing papers authored by Stephen N. Waggoner

Since Specialization
Citations

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

Fields of papers citing papers by Stephen N. Waggoner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen N. Waggoner

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen N. Waggoner. A scholar is included among the top collaborators of Stephen N. Waggoner 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 N. Waggoner. Stephen N. Waggoner 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 8
3 3
4 15
5 28
6 70
7 4
8 25
9 22
10 105
11 117
12 74
13 57
14
The AIM2 inflammasome is essential for host defense against cytosolic bacteria and DNA virusesbreakdown →
1058
15 1
16 29
17 16
18 69
19 86
20 43

About Stephen N. Waggoner

Stephen N. Waggoner is a scholar working on Immunology, Hepatology and Rheumatology, having authored 55 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (30 papers) and IL-33, ST2, and ILC Pathways (11 papers). The work is most often cited by research in Immunology (2.4k citations), Hepatology (282 citations) and Virology (164 citations). Stephen N. Waggoner has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Raymond M. Welsh, Markus Cornberg, Liisa K. Selin, Young S. Hahn, Katherine A. Fitzgerald, Lisa Waggoner, Zhaozhao Jiang, Brian G. Monks, Eicke Latz and Leah E. Cole. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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