Lisa Waggoner

2.2k total citations · 2 hit papers
6 papers, 1.8k citations indexed

About

Lisa Waggoner is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Lisa Waggoner has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Lisa Waggoner's work include interferon and immune responses (3 papers), Immune Response and Inflammation (3 papers) and Inflammasome and immune disorders (3 papers). Lisa Waggoner is often cited by papers focused on interferon and immune responses (3 papers), Immune Response and Inflammation (3 papers) and Inflammasome and immune disorders (3 papers). Lisa Waggoner collaborates with scholars based in United States, Germany and South Sudan. Lisa Waggoner's co-authors include Katherine A. Fitzgerald, Vijay Rathinam, Sivapriya Kailasan Vanaja, Stephen N. Waggoner, Stefanie N. Vogel, Shruti Sharma, Brian G. Monks, Eicke Latz, Zhaozhao Jiang and Veit Hornung and has published in prestigious journals such as Cell, Nature Immunology and The Journal of Immunology.

In The Last Decade

Lisa Waggoner

6 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The AIM2 inflammasome is essential for host defense against cytosolic bacteria and DNA viruses

2010 1.1k citations Vijay Rathinam, Zhaozhao Jiang et al. Nature Immunology profile →
TRIF Licenses Caspase-11-Dependent NLRP3 Inflammasome Activation by Gram-Negative Bacteria

2012 577 citations Vijay Rathinam, Sivapriya Kailasan Vanaja et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lisa Waggoner United States	6	1.3k	1.1k	257	163	152	6	1.8k
Bettina L. Lee United States	11	1.0k 0.8×	1.3k 1.2×	224 0.9×	123 0.8×	155 1.0×	13	2.1k
Marie Charrel-Dennis United States	6	1.7k 1.3×	1.6k 1.4×	354 1.4×	184 1.1×	233 1.5×	6	2.4k
Megan K. Proulx United States	13	1.4k 1.0×	791 0.7×	300 1.2×	135 0.8×	306 2.0×	19	1.9k
Youssef Aachoui United States	13	1.7k 1.2×	1.0k 0.9×	240 0.9×	183 1.1×	110 0.7×	17	2.1k
Teneema Kuriakose United States	12	1.1k 0.9×	903 0.8×	330 1.3×	93 0.6×	157 1.0×	15	1.6k
Jennifer J. Dong United States	9	2.2k 1.7×	1.2k 1.1×	278 1.1×	241 1.5×	151 1.0×	10	2.6k
Monica Dors United States	3	1.7k 1.3×	1.2k 1.0×	208 0.8×	173 1.1×	172 1.1×	3	2.2k
Dat P. Mao United States	8	1.9k 1.4×	1.2k 1.0×	241 0.9×	190 1.2×	175 1.2×	8	2.4k
Meimei Shan United States	8	663 0.5×	963 0.8×	160 0.6×	163 1.0×	268 1.8×	14	1.8k
Ashley J. Russo United States	11	834 0.6×	524 0.5×	156 0.6×	85 0.5×	96 0.6×	14	1.2k

Countries citing papers authored by Lisa Waggoner

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Waggoner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Waggoner

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

All Works

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6 of 6 papers shown

1.

Dang, Andrew, Lisa Waggoner, Simone Vanoni, et al.. (2017). Lipopolysaccharide suppresses IgE‐mast cell‐mediated reactions. Clinical & Experimental Allergy. 47(12). 1574–1585. 14 indexed citations

2.

Narayan, Kavitha, Lisa Waggoner, Gabriel L. Hendricks, et al.. (2014). TRIM13 Is a Negative Regulator of MDA5-Mediated Type I Interferon Production. Journal of Virology. 88(18). 10748–10757. 82 indexed citations

3.

Herre, Jürgen, Hans Grönlund, Heather J. L. Brooks, et al.. (2013). Allergens as Immunomodulatory Proteins: The Cat Dander Protein Fel d 1 Enhances TLR Activation by Lipid Ligands. The Journal of Immunology. 191(4). 1529–1535. 73 indexed citations

4.

Rathinam, Vijay, Sivapriya Kailasan Vanaja, Lisa Waggoner, et al.. (2012). TRIF Licenses Caspase-11-Dependent NLRP3 Inflammasome Activation by Gram-Negative Bacteria. Cell. 150(3). 606–619. 577 indexed citations breakdown →

5.

Wang, Lijian, Estela Trebicka, Lisa Waggoner, et al.. (2011). Regulation of Lipopolysaccharide-Induced Translation of Tumor Necrosis Factor-Alpha by the Toll-Like Receptor 4 Adaptor Protein TRAM. Journal of Innate Immunity. 3(5). 437–446. 17 indexed citations

6.

Rathinam, Vijay, Zhaozhao Jiang, Stephen N. Waggoner, et al.. (2010). The AIM2 inflammasome is essential for host defense against cytosolic bacteria and DNA viruses. Nature Immunology. 11(5). 395–402. 1058 indexed citations breakdown →

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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