Meghan E. Pennini

1.7k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Meghan E. Pennini is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Meghan E. Pennini has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Meghan E. Pennini's work include Immune Response and Inflammation (8 papers), Immune cells in cancer (5 papers) and Emergency and Acute Care Studies (3 papers). Meghan E. Pennini is often cited by papers focused on Immune Response and Inflammation (8 papers), Immune cells in cancer (5 papers) and Emergency and Acute Care Studies (3 papers). Meghan E. Pennini collaborates with scholars based in United States, India and Switzerland. Meghan E. Pennini's co-authors include Clifford V. Harding, W. Henry Boom, Rish K. Pai, D. Schultz, Stéphanie Perrinet, Alice Dautry‐Varsat, Agathe Subtil, Stefanie N. Vogel, David H. Canaday and Aaron A.R. Tobian and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Meghan E. Pennini

21 papers receiving 1.2k citations

Hit Papers

Sepsis Among Medicare Beneficiaries: 1. The Burdens of Se... 2020 2026 2022 2024 2020 50 100 150
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.

  1. Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*
    2020 177 citations Timothy G. Buchman, Steven Q. Simpson et al. Critical Care Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meghan E. Pennini United States 17 502 449 355 335 139 21 1.3k
Giovanni Matera Italy 19 475 0.9× 393 0.9× 285 0.8× 333 1.0× 113 0.8× 128 1.6k
Shu Okugawa Japan 19 316 0.6× 474 1.1× 416 1.2× 490 1.5× 146 1.1× 88 1.5k
Maria Carla Liberto Italy 19 452 0.9× 201 0.4× 286 0.8× 253 0.8× 69 0.5× 79 1.2k
Todd Lasco United States 22 653 1.3× 360 0.8× 877 2.5× 162 0.5× 98 0.7× 53 1.4k
Thomas J. Kirn United States 12 291 0.6× 282 0.6× 348 1.0× 368 1.1× 88 0.6× 20 1.3k
Jennifer C. van Velkinburgh United States 16 421 0.8× 269 0.6× 136 0.4× 422 1.3× 193 1.4× 34 1.4k
Lutz von Müller Germany 22 580 1.2× 142 0.3× 759 2.1× 360 1.1× 69 0.5× 78 1.5k
Ching‐Tai Huang Taiwan 23 451 0.9× 667 1.5× 262 0.7× 238 0.7× 196 1.4× 73 1.6k
Ashley Keller United States 16 204 0.4× 331 0.7× 267 0.8× 542 1.6× 277 2.0× 29 1.4k
Yutaka Tokue Japan 18 301 0.6× 184 0.4× 340 1.0× 372 1.1× 237 1.7× 60 1.4k

Countries citing papers authored by Meghan E. Pennini

Since Specialization
Citations

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

Fields of papers citing papers by Meghan E. Pennini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meghan E. Pennini. 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 Meghan E. Pennini. The network helps show where Meghan E. Pennini may publish in the future.

Co-authorship network of co-authors of Meghan E. Pennini

This figure shows the co-authorship network connecting the top 25 collaborators of Meghan E. Pennini. A scholar is included among the top collaborators of Meghan E. Pennini 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 Meghan E. Pennini. Meghan E. Pennini 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
1.
Wu, Qun, et al.. (2022). Applying Lessons Learned From COVID-19 Therapeutic Trials to Improve Future ALI/ARDS Trials. Open Forum Infectious Diseases. 9(8). ofac381–ofac381. 10 indexed citations
2.
Sullivan, Meg, et al.. (2022). Notes From the Field: Dispensing of Oral Antiviral Drugs for Treatment of COVID-19 by Zip Code–Level Social Vulnerability — United States, December 23, 2021–August 28, 2022. MMWR Morbidity and Mortality Weekly Report. 71(43). 1384–1385. 11 indexed citations
3.
Gold, Jeremy A.W., J. Paul Kelleher, Brendan R. Jackson, et al.. (2022). Dispensing of Oral Antiviral Drugs for Treatment of COVID-19 by Zip Code–Level Social Vulnerability — United States, December 23, 2021–May 21, 2022. MMWR Morbidity and Mortality Weekly Report. 71(25). 825–829. 52 indexed citations
4.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 276–288. 177 indexed citations breakdown →
5.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 3. The Methods, Models, and Forecasts of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 302–318. 45 indexed citations
6.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 2. The Trajectories of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 289–301. 33 indexed citations
7.
Koksal, Adem C., Meghan E. Pennini, Marcello Marelli, Xiaodong Xiao, & William F. Dall’Acqua. (2019). Functional mimetic of the G-protein coupled receptor CXCR4 on a soluble antibody scaffold. mAbs. 11(4). 725–734. 3 indexed citations
8.
Cohen, Taylor S., Mark Pelletier, Lily Cheng, et al.. (2017). Anti-LPS antibodies protect against Klebsiella pneumoniae by empowering neutrophil-mediated clearance without neutralizing TLR4. JCI Insight. 2(9). 36 indexed citations
9.
Wang, Qun, Yan Chen, Meghan E. Pennini, et al.. (2017). Anti-MrkA Monoclonal Antibodies Reveal Distinct Structural and Antigenic Features of MrkA. PLoS ONE. 12(1). e0170529–e0170529. 26 indexed citations
10.
Pennini, Meghan E., Anna De Marco, Mark Pelletier, et al.. (2017). Immune stealth-driven O2 serotype prevalence and potential for therapeutic antibodies against multidrug resistant Klebsiella pneumoniae. Nature Communications. 8(1). 1991–1991. 73 indexed citations
11.
Wang, Qun, Meghan E. Pennini, Mark Pelletier, et al.. (2016). Target-Agnostic Identification of Functional Monoclonal Antibodies AgainstKlebsiella pneumoniaeMultimeric MrkA Fimbrial Subunit. The Journal of Infectious Diseases. 213(11). 1800–1808. 56 indexed citations
12.
Perkins, Darren J., Swamy K. Polumuri, Meghan E. Pennini, et al.. (2013). Reprogramming of Murine Macrophages through TLR2 Confers Viral Resistance via TRAF3-Mediated, Enhanced Interferon Production. PLoS Pathogens. 9(7). e1003479–e1003479. 41 indexed citations
13.
Xiong, Yanbao, Meghan E. Pennini, Stefanie N. Vogel, & Andrei E. Medvedev. (2013). IRAK4 kinase activity is not required for induction of endotoxin tolerance but contributes to TLR2-mediated tolerance. Journal of Leukocyte Biology. 94(2). 291–300. 19 indexed citations
14.
Pennini, Meghan E., Darren J. Perkins, Andres Μ. Salazar, Michael Lipsky, & Stefanie N. Vogel. (2012). Complete Dependence on IRAK4 Kinase Activity in TLR2, but Not TLR4, Signaling Pathways Underlies Decreased Cytokine Production and Increased Susceptibility to Streptococcus pneumoniae Infection in IRAK4 Kinase–Inactive Mice. The Journal of Immunology. 190(1). 307–316. 40 indexed citations
15.
Pennini, Meghan E., Stéphanie Perrinet, Alice Dautry‐Varsat, & Agathe Subtil. (2010). Histone Methylation by NUE, a Novel Nuclear Effector of the Intracellular Pathogen Chlamydia trachomatis. PLoS Pathogens. 6(7). e1000995–e1000995. 131 indexed citations
16.
Pennini, Meghan E., Yi Liu, Jianqi Yang, et al.. (2007). CCAAT/Enhancer-Binding Protein β and δ Binding to CIITA Promoters Is Associated with the Inhibition of CIITA Expression in Response to Mycobacterium tuberculosis 19-kDa Lipoprotein. The Journal of Immunology. 179(10). 6910–6918. 56 indexed citations
17.
Pennini, Meghan E., Rish K. Pai, D. Schultz, W. Henry Boom, & Clifford V. Harding. (2006). Mycobacterium tuberculosis 19-kDa Lipoprotein Inhibits IFN-γ-Induced Chromatin Remodeling of MHC2TA by TLR2 and MAPK Signaling. The Journal of Immunology. 176(7). 4323–4330. 172 indexed citations
18.
Pai, Rish K., Meghan E. Pennini, Aaron A.R. Tobian, et al.. (2004). Prolonged Toll-Like Receptor Signaling byMycobacterium tuberculosisand Its 19-Kilodalton Lipoprotein Inhibits Gamma Interferon-Induced Regulation of Selected Genes in Macrophages. Infection and Immunity. 72(11). 6603–6614. 137 indexed citations
19.
Fulton, Scott A., Scott M. Reba, Rish K. Pai, et al.. (2004). Inhibition of Major Histocompatibility Complex II Expression and Antigen Processing in Murine Alveolar Macrophages byMycobacterium bovisBCG and the 19-Kilodalton Mycobacterial Lipoprotein. Infection and Immunity. 72(4). 2101–2110. 94 indexed citations
20.
Kuchtey, John, Meghan E. Pennini, Rish K. Pai, & Clifford V. Harding. (2003). CpG DNA Induces a Class II Transactivator-Independent Increase in Class II MHC by Stabilizing Class II MHC mRNA in B Lymphocytes. The Journal of Immunology. 171(5). 2320–2325. 14 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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