Megan Files

577 total citations
22 papers, 383 citations indexed

About

Megan Files is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Megan Files has authored 22 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 10 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Megan Files's work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (5 papers) and Immunotherapy and Immune Responses (5 papers). Megan Files is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (5 papers) and Immunotherapy and Immune Responses (5 papers). Megan Files collaborates with scholars based in United States, Sweden and India. Megan Files's co-authors include Tanya Parish, Jai S. Rudra, Mai A. Bailey, Torey Alling, Juliane Ollinger, Joshua Odingo, Julie V. Early, Yulia Ovechkina, Shilah A. Bonnett and Gregg N. Milligan and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Megan Files

21 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan Files United States 13 201 153 92 83 47 22 383
Sangchai Yingsakmongkon Thailand 10 141 0.7× 207 1.4× 93 1.0× 120 1.4× 69 1.5× 15 481
Т. Г. Смирнова Russia 13 286 1.4× 188 1.2× 152 1.7× 249 3.0× 17 0.4× 65 566
Beata Adamiak Sweden 9 154 0.8× 135 0.9× 44 0.5× 178 2.1× 64 1.4× 11 417
Abhishek Vartak United States 7 86 0.4× 190 1.2× 39 0.4× 63 0.8× 141 3.0× 10 352
J. D. Alder United States 13 112 0.6× 106 0.7× 68 0.7× 67 0.8× 39 0.8× 20 358
Manukumar Honnayakanahalli Marichannegowda United States 6 267 1.3× 127 0.8× 72 0.8× 33 0.4× 33 0.7× 11 434
Jason A. LaBonte United States 7 192 1.0× 197 1.3× 44 0.5× 128 1.5× 207 4.4× 7 561
Adriana Lanfredi‐Rangel Brazil 13 101 0.5× 129 0.8× 77 0.8× 81 1.0× 19 0.4× 18 440
Harshavardhan Shakila India 11 248 1.2× 205 1.3× 28 0.3× 179 2.2× 93 2.0× 29 507
Yann Thillier France 9 65 0.3× 130 0.8× 46 0.5× 22 0.3× 11 0.2× 14 289

Countries citing papers authored by Megan Files

Since Specialization
Citations

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

Fields of papers citing papers by Megan Files

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Files

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Files. A scholar is included among the top collaborators of Megan Files 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 Megan Files. Megan Files 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.
Files, Megan, Lauren E. Gentles, Amanda Adler, et al.. (2024). Kinetics and Durability of Antibody and T-Cell Responses to SARS-CoV-2 in Children. The Journal of Infectious Diseases. 230(4). 889–900.
2.
Files, Megan, Craig Schindewolf, Alan D.T. Barrett, et al.. (2022). Baseline mapping of Oropouche virology, epidemiology, therapeutics, and vaccine research and development. npj Vaccines. 7(1). 38–38. 48 indexed citations
3.
Files, Megan, et al.. (2022). Self-adjuvanting nanovaccines boost lung-resident CD4+ T cell immune responses in BCG-primed mice. npj Vaccines. 7(1). 48–48. 12 indexed citations
4.
Files, Megan, et al.. (2022). Nanomaterials-based vaccines to target intracellular bacterial pathogens. Frontiers in Microbiology. 13. 1040105–1040105. 1 indexed citations
5.
Kumar, Anuradha, Somsundaram Chettiar, Brian S. Brown, et al.. (2022). Novel chemical entities inhibiting Mycobacterium tuberculosis growth identified by phenotypic high-throughput screening. Scientific Reports. 12(1). 14879–14879. 5 indexed citations
6.
Files, Megan, et al.. (2022). Differential regulation of macrophage galactose-type lectin (MGL) orthologs by mycobacterial ligands. The Journal of Immunology. 208(Supplement_1). 51.09–51.09. 1 indexed citations
7.
Lokhande, Giriraj, et al.. (2022). Coiled Coil Crosslinked Alginate Hydrogels Dampen Macrophage-Driven Inflammation. Biomacromolecules. 23(3). 1183–1194. 12 indexed citations
8.
Files, Megan, et al.. (2021). Peptide-based supramolecular vaccine systems. Acta Biomaterialia. 133. 153–167. 46 indexed citations
9.
Files, Megan, et al.. (2021). Peptide-Based Supramolecular Vaccine Systems. SSRN Electronic Journal. 1 indexed citations
10.
Xu, Jimin, Megan Files, Jeffrey D. Cirillo, et al.. (2019). Dual activity of niclosamide to suppress replication of integrated HIV-1 and Mycobacterium tuberculosis (Beijing). Tuberculosis. 116. S28–S33. 26 indexed citations
11.
Odingo, Joshua, Julie V. Early, Mai A. Bailey, et al.. (2019). 8‐Hydroxyquinolines are bactericidal against Mycobacterium tuberculosis. Drug Development Research. 80(5). 566–572. 18 indexed citations
12.
Bonnett, Shilah A., et al.. (2018). A class of hydrazones are active against non-replicating Mycobacterium tuberculosis. PLoS ONE. 13(10). e0198059–e0198059. 26 indexed citations
13.
Madu, Ikenna G., Megan Files, Dima Gharaibeh, et al.. (2018). A potent Lassa virus antiviral targets an arenavirus virulence determinant. PLoS Pathogens. 14(12). e1007439–e1007439. 44 indexed citations
14.
Odingo, Joshua, Mai A. Bailey, Megan Files, et al.. (2017). In Vitro Evaluation of Novel Nitazoxanide Derivatives against Mycobacterium tuberculosis. ACS Omega. 2(9). 5873–5890. 20 indexed citations
15.
Bonnett, Shilah A., Juliane Ollinger, Stephanie K. Florio, et al.. (2016). A Target-Based Whole Cell Screen Approach To Identify Potential Inhibitors of Mycobacterium tuberculosis Signal Peptidase. ACS Infectious Diseases. 2(12). 893–902. 21 indexed citations
16.
Early, Julie V., Allen Casey, A. MARTINEZ‐GRAU, et al.. (2016). Oxadiazoles Have Butyrate-Specific Conditional Activity against Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 60(6). 3608–3616. 25 indexed citations
17.
Russo, Francesco, Johan Gising, A.K. Roos, et al.. (2015). Optimization and Evaluation of 5‐Styryl‐Oxathiazol‐2‐one Mycobacterium tuberculosis Proteasome Inhibitors as Potential Antitubercular Agents. ChemistryOpen. 4(3). 342–362. 10 indexed citations
18.
Alling, Torey, Mai A. Bailey, Megan Files, et al.. (2015). Identification of Phenoxyalkylbenzimidazoles with Antitubercular Activity. Journal of Medicinal Chemistry. 58(18). 7273–7285. 34 indexed citations
19.
Carroll, Paul, et al.. (2014). Identification of the translational start site of codon-optimized mCherry in Mycobacterium tuberculosis. BMC Research Notes. 7(1). 366–366. 8 indexed citations
20.
Bailey, Mai A., Megan Files, Torey Alling, et al.. (2014). Synthesis and anti-tubercular activity of 3-substituted benzo[b]thiophene-1,1-dioxides. PeerJ. 2. e612–e612. 15 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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