Annie M. Bruns

1.0k total citations
10 papers, 823 citations indexed

About

Annie M. Bruns is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Annie M. Bruns has authored 10 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Annie M. Bruns's work include interferon and immune responses (8 papers), Immune Response and Inflammation (5 papers) and Inflammasome and immune disorders (4 papers). Annie M. Bruns is often cited by papers focused on interferon and immune responses (8 papers), Immune Response and Inflammation (5 papers) and Inflammasome and immune disorders (4 papers). Annie M. Bruns collaborates with scholars based in United States, United Kingdom and Philippines. Annie M. Bruns's co-authors include Curt M. Horvath, Robert A. Lamb, George P. Leser, Darja Pollpeter, William C. Spanos, Paola D. Vermeer, John H. Lee, John F. Marko, Sua Myong and Daniel W. Vermeer and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Journal of Virology.

In The Last Decade

Annie M. Bruns

10 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annie M. Bruns United States	9	641	365	163	111	106	10	823
Kazuhide Onoguchi Japan	8	676 1.1×	352 1.0×	233 1.4×	112 1.0×	191 1.8×	9	962
Huabin Tian China	11	379 0.6×	347 1.0×	200 1.2×	48 0.4×	152 1.4×	14	678
Masaaki Okamoto Japan	14	387 0.6×	326 0.9×	135 0.8×	52 0.5×	128 1.2×	28	668
Henoch S. Hong Germany	14	577 0.9×	335 0.9×	257 1.6×	126 1.1×	116 1.1×	22	963
Maria H. Christensen Denmark	7	608 0.9×	345 0.9×	228 1.4×	67 0.6×	204 1.9×	8	738
T. S. Carlos United Kingdom	8	704 1.1×	234 0.6×	336 2.1×	116 1.0×	415 3.9×	9	986
Motohide Ichino Japan	15	448 0.7×	248 0.7×	89 0.5×	93 0.8×	141 1.3×	23	792
Thomas McCarty United States	13	221 0.3×	247 0.7×	211 1.3×	70 0.6×	267 2.5×	22	764
Spyridon Stavrou United States	15	309 0.5×	342 0.9×	202 1.2×	70 0.6×	146 1.4×	22	726
Sarah L. Hayward United States	13	510 0.8×	232 0.6×	209 1.3×	92 0.8×	237 2.2×	16	864

Countries citing papers authored by Annie M. Bruns

Since Specialization

Citations

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

Fields of papers citing papers by Annie M. Bruns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie M. Bruns

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

All Works

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10 of 10 papers shown

1.

Mandhana, Roli, et al.. (2018). RNA sensor LGP 2 inhibits TRAF ubiquitin ligase to negatively regulate innate immune signaling. EMBO Reports. 19(6). 44 indexed citations

2.

Pollpeter, Darja, Maddy Parsons, Andrew Sobala, et al.. (2017). Deep sequencing of HIV-1 reverse transcripts reveals the multifaceted antiviral functions of APOBEC3G. Nature Microbiology. 3(2). 220–233. 74 indexed citations

3.

Bruns, Annie M. & Curt M. Horvath. (2015). LGP2 synergy with MDA5 in RLR-mediated RNA recognition and antiviral signaling. Cytokine. 74(2). 198–206. 102 indexed citations

4.

Bruns, Annie M. & Curt M. Horvath. (2014). Antiviral RNA recognition and assembly by RLR family innate immune sensors. Cytokine & Growth Factor Reviews. 25(5). 507–512. 62 indexed citations

5.

Bruns, Annie M., George P. Leser, Robert A. Lamb, & Curt M. Horvath. (2014). The Innate Immune Sensor LGP2 Activates Antiviral Signaling by Regulating MDA5-RNA Interaction and Filament Assembly. Molecular Cell. 55(5). 771–781. 198 indexed citations

6.

Bruns, Annie M., et al.. (2014). MDA5 and LGP2: Accomplices and Antagonists of Antiviral Signal Transduction. Journal of Virology. 88(15). 8194–8200. 99 indexed citations

7.

Vermeer, Daniel W., et al.. (2013). Radiation‐induced loss of cell surface CD47 enhances immune‐mediated clearance of human papillomavirus‐positive cancer. International Journal of Cancer. 133(1). 120–129. 85 indexed citations

8.

Bruns, Annie M., et al.. (2013). ATP Hydrolysis Enhances RNA Recognition and Antiviral Signal Transduction by the Innate Immune Sensor. 5 indexed citations

9.

Bruns, Annie M., et al.. (2012). ATP Hydrolysis Enhances RNA Recognition and Antiviral Signal Transduction by the Innate Immune Sensor, Laboratory of Genetics and Physiology 2 (LGP2). Journal of Biological Chemistry. 288(2). 938–946. 79 indexed citations

10.

Bruns, Annie M. & Curt M. Horvath. (2011). Activation of RIG-I-like receptor signal transduction. Critical Reviews in Biochemistry and Molecular Biology. 47(2). 194–206. 75 indexed citations

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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