Kathryn M. Monroe

8.0k citations
17 papers · 4.9k indexed · 3 hit papers · h-index 15
Topics
interferon and immune responses (9 papers)Immune Response and Inflammation (7 papers)Inflammation biomarkers and pathways (4 papers)

In The Last Decade

Kathryn M. Monroe

16 papers receiving 4.8k citations

Hit Papers

STING is a direct innate immune sensor of cyclic di-GMP20112026201620212011201320134008001.2k

Peers

Kathryn M. Monroe
Comparison fields: 5 of 118
  • Immunology 3.5k
  • Molecular Biology 2.1k
  • Infectious Diseases 1.3k
  • Virology 658
  • Epidemiology 619
Replace Sonja I. Gringhuis with:
Sonja I. Gringhuis Netherlands
Lesley E. Smythies United States
Todd A. Reinhart United States
Ulrich Steinhoff Germany
Marie‐Lise Gougeon France
Berish Y. Rubin United States
Nicholas M. Valiante United States
Vaiva Vezys United States
M. Suresh United States
Edith M. Janssen United States
Kathryn M. Monroe relative to Sonja I. Gringhuis Netherlands Sonja I. Gringhuis's profile →
Citations per field
00.5×1.5×
Sonja I. Gringhuis · 1×
Citations per year

Countries citing papers authored by Kathryn M. Monroe

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn M. Monroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn M. Monroe

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 11
3 54
4 143
5 137
6 125
7 18
8
Cell death by pyroptosis drives CD4 T-cell depletion in HIV-1 infectionbreakdown →
886
9
The Innate Immune DNA Sensor cGAS Produces a Noncanonical Cyclic Dinucleotide that Activates Human STINGbreakdown →
601
10 394
11
STING is a direct innate immune sensor of cyclic di-GMPbreakdown →
1227
12 305
13 51
14 423
15 113
16 160
17 243

About Kathryn M. Monroe

Kathryn M. Monroe is a scholar working on Immunology, Neurology and Virology, having authored 17 papers that have together received 4.9k indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), Immune Response and Inflammation (7 papers) and Inflammation biomarkers and pathways (4 papers). The work is most often cited by research in Immunology (3.5k citations), Virology (658 citations) and Infectious Diseases (1.3k citations). Kathryn M. Monroe has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Russell E. Vance, Mamoru Hyodo, Yoshihiro Hayakawa, Dara Burdette, Katia Troha, Warner C. Greene, Gilad Doitsh, Barbara Eckert, Xin Geng and Sarah M. McWhirter. Their work appears in journals such as Nature, Science and Neuron.

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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