Amy Myers

3.3k total citations · 1 hit paper
21 papers, 2.2k citations indexed

About

Amy Myers is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Amy Myers has authored 21 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 12 papers in Epidemiology and 10 papers in Immunology. Recurrent topics in Amy Myers's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (9 papers) and Infectious Diseases and Tuberculosis (6 papers). Amy Myers is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (9 papers) and Infectious Diseases and Tuberculosis (6 papers). Amy Myers collaborates with scholars based in United States, Denmark and United Kingdom. Amy Myers's co-authors include JoAnne L. Flynn, Philana Ling Lin, Edwin Klein, Saverio Capuano, Carl R. Fuhrman, David A. McEntire, M. Teresa Coleman, Sarah M. Fortune, Santosh Pawar and Mark Rodgers and has published in prestigious journals such as Nature Medicine, Immunity and The Journal of Immunology.

In The Last Decade

Amy Myers

20 papers receiving 2.1k citations

Hit Papers

Sterilization of granulomas is common in active and laten... 2013 2026 2017 2021 2013 100 200 300

Peers

Amy Myers
Claudia Manca United States
C Moreno United Kingdom
Teri Roberts Switzerland
Sara Huston United States
Antoine Adenis French Guiana
Timo Ulrichs Germany
Amy Myers
Citations per year, relative to Amy Myers Amy Myers (= 1×) peers Boping Zhou

Countries citing papers authored by Amy Myers

Since Specialization
Citations

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

Fields of papers citing papers by Amy Myers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Myers

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Myers. A scholar is included among the top collaborators of Amy Myers 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 Amy Myers. Amy Myers 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.
Wang, Shu, Amy Myers, Edward B. Irvine, et al.. (2024). Markov field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques. Cell Systems. 15(12). 1278–1294.e4. 1 indexed citations
2.
Bucşan, Allison N., Joseph J. Zeppa, Caylin G. Winchell, et al.. (2022). The role of lymphocyte subsets in preventing tuberculosis following intravenous vaccination with BCG. The Journal of Immunology. 208(Supplement_1). 181.11–181.11. 1 indexed citations
4.
Darrah, Patricia A., Robert M. DiFazio, Pauline Maiello, et al.. (2019). Boosting BCG with proteins or rAd5 does not enhance protection against tuberculosis in rhesus macaques. npj Vaccines. 4(1). 21–21. 42 indexed citations
5.
Diedrich, Collin R., Hannah P. Gideon, Tara Rutledge, et al.. (2019). CD4CD8 Double Positive T cell responses during Mycobacterium tuberculosis infection in cynomolgus macaques. Journal of Medical Primatology. 48(2). 82–89. 12 indexed citations
6.
Ganchua, Sharie Keanne C., Anthony M. Cadena, Pauline Maiello, et al.. (2018). Lymph nodes are sites of prolonged bacterial persistence during Mycobacterium tuberculosis infection in macaques. PLoS Pathogens. 14(11). e1007337–e1007337. 63 indexed citations
7.
Silver, Richard F., Amy Myers, JoAnne L. Flynn, et al.. (2016). Diversity of Human and Macaque Airway Immune Cells at Baseline and during Tuberculosis Infection. American Journal of Respiratory Cell and Molecular Biology. 55(6). 899–908. 22 indexed citations
8.
Gideon, Hannah P., Jia Yao Phuah, Amy Myers, et al.. (2015). Variability in Tuberculosis Granuloma T Cell Responses Exists, but a Balance of Pro- and Anti-inflammatory Cytokines Is Associated with Sterilization. PLoS Pathogens. 11(1). e1004603–e1004603. 244 indexed citations
9.
Lin, Philana Ling, Christopher B. Ford, M. Teresa Coleman, et al.. (2013). Sterilization of granulomas is common in active and latent tuberculosis despite within-host variability in bacterial killing. Nature Medicine. 20(1). 75–79. 374 indexed citations breakdown →
10.
Myers, Amy, Simeone Marino, Denise E. Kirschner, & JoAnne L. Flynn. (2013). Inoculation Dose of Mycobacterium tuberculosis Does Not Influence Priming of T Cell Responses in Lymph Nodes. The Journal of Immunology. 190(9). 4707–4716. 15 indexed citations
11.
Zinman, Guy, Rachel Brower–Sinning, Jason Ernst, et al.. (2011). Large Scale Comparison of Innate Responses to Viral and Bacterial Pathogens in Mouse and Macaque. PLoS ONE. 6(7). e22401–e22401. 20 indexed citations
12.
Marino, Simeone, Amy Myers, JoAnne L. Flynn, & Denise E. Kirschner. (2010). TNF and IL-10 are major factors in modulation of the phagocytic cell environment in lung and lymph node in tuberculosis: A next-generation two-compartmental model. Journal of Theoretical Biology. 265(4). 586–598. 71 indexed citations
13.
Lin, Philana Ling, Amy Myers, Carolyn Bigbee, et al.. (2010). Tumor necrosis factor neutralization results in disseminated disease in acute and latent Mycobacterium tuberculosis infection with normal granuloma structure in a cynomolgus macaque model. Arthritis & Rheumatism. 62(2). 340–350. 191 indexed citations
14.
Lin, Philana Ling, Mark Rodgers, Amy Myers, et al.. (2009). Quantitative Comparison of Active and Latent Tuberculosis in the Cynomolgus Macaque Model. Infection and Immunity. 77(10). 4631–4642. 312 indexed citations
15.
Riggs, Thomas W., Nicolás Perry, Jennifer Lynch, et al.. (2007). A comparison of random vs. chemotaxis-driven contacts of T cells with dendritic cells during repertoire scanning. Journal of Theoretical Biology. 250(4). 732–751. 50 indexed citations
16.
Lin, Philana Ling, Santosh Pawar, Amy Myers, et al.. (2006). Early Events in Mycobacterium tuberculosis Infection in Cynomolgus Macaques. Infection and Immunity. 74(7). 3790–3803. 178 indexed citations
17.
Myers, Amy, Brandon Eilertson, Scott A. Fulton, JoAnne L. Flynn, & David H. Canaday. (2005). The Purinergic P2X7 Receptor Is Not Required for Control of Pulmonary Mycobacterium tuberculosis Infection. Infection and Immunity. 73(5). 3192–3195. 24 indexed citations
18.
McEntire, David A. & Amy Myers. (2004). Preparing communities for disasters: issues and processes for government readiness. Disaster Prevention and Management An International Journal. 13(2). 140–152. 123 indexed citations
19.
Lazarevic, Vanja, Amy Myers, Charles A. Scanga, & JoAnne L. Flynn. (2003). CD40, but Not CD40L, Is Required for the Optimal Priming of T Cells and Control of Aerosol M. tuberculosis Infection. Immunity. 19(6). 823–835. 96 indexed citations
20.
Capuano, Saverio, Denise A. Croix, Santosh Pawar, et al.. (2003). ExperimentalMycobacterium tuberculosisInfection of Cynomolgus Macaques Closely Resembles the Various Manifestations of HumanM. tuberculosisInfection. Infection and Immunity. 71(10). 5831–5844. 351 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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